Driving Trade Outcomes with Companion AI Options


Generative AI is reworking the best way groups work throughout numerous industries. In response to McKinsey’s ‘The state of AI in 2025’ report, 79% of organizations now use GenAI in not less than one enterprise operate, up from 65% in 2024. From automated content material creation to AI-driven operations and customer support, these cross-functional use instances are driving deeper industry-specific transformation.

Trade leaders like Adidas, Royal Financial institution of Canada, Edmunds, ServiceNow, 7-Eleven and Lippert are deploying generative AI tailor-made to their distinctive challenges utilizing the Databricks Knowledge Intelligence Platform. For these, Databricks Consulting and SI companions accelerated that journey with ready-to-deploy options. For instance, Youngsters’s Nationwide Hospital labored with Slalom to remodel affected person care, lowering mannequin coaching time from months to minutes, deploying agentic AI instruments to streamline scientific workflows, and scaling predictive analytics for crucial care. 

This weblog showcases revolutionary accomplice GenAI options constructed on the Databricks Knowledge Intelligence Platform throughout 5 {industry} classes:

  1. Communications, Media and Leisure Trade
  2. Monetary Companies
  3. Healthcare and Life Sciences
  4. Manufacturing & Power
  5. Retail, Shopper Items, Journey & Hospitality

Featured companions embody Accenture, Avanade, Bizmetric, Blueprint, Capgemini, Celebal Applied sciences, CI&T, Diggibyte, DataSentics, Elitmind, Entrada, EPAM, EY, Fractal, Genpact, Hexaware, Impetus, Indicium, Infogain, Infosys, Kubrick, Lingaro, Lovelytics,  LTIMindtree, MathCo, Neudesic, Ness, ORAYLIS, Persistent, Prodapt, Qubika, Sigmoid, Slalom, Syren, Tata Consultancy Companies, Tiger Analytics, Tredence, Wavicle Knowledge Options, Wipro, Xebia, zeb, Zensar and ZS.

Partner AI Solutions

Communications, Media and Leisure

Companions are constructing options that revolutionize content material lifecycle administration, enhance community operations, improve marketing campaign confidence, automate subject providers, and maximize return on advert spend. Options ship content material personalization and discovery that drive engagement, cut back churn, and maximize advert income:

Blueprint CampaignIQ

CampaignIQ by Blueprint is an AI-powered advertising and marketing intelligence platform that transforms how enterprises perceive, phase, and activate buyer audiences. Constructed on the Databricks ecosystem, it unifies behavioral, transactional, and engagement information right into a single supply of reality that simplifies viewers discovery and marketing campaign decisioning. With predictive scoring, clever suggestions, real-time insights, and automatic activation workflows, CampaignIQ helps groups launch extra exact and worthwhile campaigns. It reduces guide evaluation, improves focusing on accuracy, and accelerates time-to-value so advertising and marketing organizations can improve ROI and reinvest in high-impact initiatives whereas sustaining governance and scalable operations.

Learn this weblog to find out how CampaignIQ turns your buyer information right into a unified engine for measurable development.

Impetus Community Site visitors Anomaly Detection Accelerator

Impetus’ Community Site visitors Anomaly Detection Accelerator leverages Databricks Agent Bricks to assist enterprises proactively detect, classify, and reply to anomalous or malicious community site visitors at scale. Utilizing a GenAI-powered Data Extraction agent, the answer transforms uncooked community telemetry into structured, actionable safety intelligence, considerably lowering guide evaluation and alert fatigue. It mechanically analyzes packet habits, assigns danger ranges, identifies menace patterns reminiscent of port scans or DDoS-like exercise, and recommends actions together with permit, monitor, examine, or block. Constructed on the Databricks Lakehouse with serverless compute and Unity Catalog governance, the accelerator delivers scalable, real-time safety intelligence for contemporary SOC operations. 

Learn this weblog to study extra about this accelerator.

Indicium AI Brokers for Site visitors and Advertisements Efficiency Intelligence

Indicium’s AI Brokers for Site visitors and Advertisements Efficiency Intelligence turns fragmented advertising and marketing information into real-time efficiency intelligence for CMEG organizations. Constructed on Databricks Agent Bricks, it unifies social, search, programmatic, and internet analytics information in a single, ruled lakehouse with Unity Catalog. On prime of this basis, AI brokers constantly predict viewers engagement and conversion propensity, forecast advert spend effectivity and ROI earlier than finances is wasted, and advocate concrete optimization actions throughout channels. The result’s sooner choices, smarter media investments, and scalable development. Advertising groups transfer from static reporting to steady, AI-driven optimization that maximizes impression, effectivity, and measurable enterprise outcomes.

Learn this weblog to find out how Indicium makes use of AI Brokers on the Databricks Lakehouse to unify cross-channel advertising and marketing information and supply predictive insights that optimize marketing campaign ROI for enterprise-scale organizations.

Lovelytics Customerlytics

Viewers Intelligence Accelerator is a Databricks-native answer that unifies first- and third-party buyer information to ship a real 360° buyer view. Constructed with a composable CDP framework and powered by identification decision, Customerlytics goals to allow real-time activation, personalised engagement, and scalable AI/ML-driven insights. By optimizing the worth of buyer information by safe, real-time sharing between manufacturers, companies, and companions, it helps organizations unlock measurable enterprise impression — driving a 5–10% uplift in buyer conversion and 20–30% enchancment in advertising and marketing ROAS by unified information, ruled activation, and smarter, data-driven choices.

Learn this buyer story and the weblog to find out how Locality is redefining native promoting with unified viewers intelligence.

Lovelytics Networklytics

Networklytics (Community Intelligence Accelerator) is a Databricks-native answer that unifies OSS/BSS, CRM, telemetry, IVR, and environmental information to ship an AI-driven view of community reliability and efficiency. Utilizing AI and machine studying for danger detection, root-cause prediction, capability forecasting, and proactive upkeep, it goals to allow closed-loop automation that writes insights again to OSS and ITSM methods in actual time. With Unity Catalog–primarily based governance and a shared reliability ontology (availability, MTTR, MTBF, capability, resilience), Networklytics helps Telco, Cable, and Enterprise operators improve uptime, cut back churn, and optimize operations by a scalable, extensible framework for contemporary community intelligence.

Learn this weblog to find out how Lovelytics helped remodel reactive telecommunications operations into proactive, resilient networks.

Lovelytics Sportslytics

Sportlytics Sportlytics is a real-time sports activities analytics accelerator constructed by Lovelytics and Databricks to remodel streaming sports activities information into actionable intelligence. The platform ingests gameplay, coaching, biometric, and third-party information reminiscent of Catapult and Second Spectrum right into a unified Lakehouse, delivering close to real-time and historic insights by automated pipelines and BI dashboards. Groups obtain as much as 95% sooner insights, save 60+ hours per week by eliminating guide processing, and profit from absolutely automated workflows that allow smarter choices on efficiency, well being, and technique in as little as 4 weeks.

Learn this weblog to find out how Lovelytics helped the Philadelphia Union automate information pipelines, saving 60 hours weekly and accelerating strategic insights.

Prodapt Telco B2B Order Administration

Constructed on the Databricks Knowledge Intelligence Platform, Telco B2B Order Administration builds an Order Digital Twin as a semantic layer aligned to TMF Open APIs. Agent Bricks runs agentic workflows that cause over order dependencies, detect fallout and SLA danger, and name BSS and OSS APIs to set off reprovisioning, reroutes, or case creation for closed loop automation. Unity Catalog ruled information merchandise and streaming occasions preserve the dual present throughout CPQ, CRM, activation and assurance. Goal outcomes embody 25% decrease fallout administration price, sooner entry to activate cycle time, and decreased income in danger.

Learn this weblog to find out how Order Digital Twins and AI brokers on Databricks optimize and automate advanced telecom B2B supply.

Prodapt Discipline Operations Transformation

Discipline Operations Transformation unifies telemetry, tickets, work orders, stock and technician notes as Unity Catalog ruled information merchandise on the Databricks Knowledge Intelligence Platform. Agent Bricks powers agentic dispatch and subject help workflows that advocate subsequent finest actions and might replace FSM and OSS methods through APIs. Multimodal high quality checks use Agent Bricks Mannequin Serving to examine images and video of fiber splices or racks, appearing as an AI supervisor to substantiate compliance earlier than the technician leaves. Targets embody 15% enchancment in first time repair, fewer repeat dispatches, and decrease truck roll prices.

Learn this weblog to find out how AI Discipline Assistants and digital twins on Databricks optimize telco subject operations.

Wipro TelcoS&M

TelcoS&M, a part of Wipro Intelligence™, a unified suite of AI-powered platforms and options designed to speed up income development and elevate finish buyer expertise for Telcos globally by AI-driven transformation of the Gross sales & Advertising lifecycle. Constructed on the Databricks Knowledge Intelligence Platform, leveraging merchandise reminiscent of Agent Bricks, Delta Sharing and Unity Catalog, it permits proactive lead era, hyper-personalized product suggestions, dynamic pricing fashions, streamlined onboarding & set up, Clever cross-sell and up-sell methods & enhanced service choices for improved buyer engagement.

Wipro VEAI

VEAI, a part of Wipro Intelligence™, is a unified suite of AI-powered platforms and options that creates magical moments for purchasers throughout industries reminiscent of leisure, sports activities, journey, retail, and extra. VEAI is integrating Wipro’s industry-leading digital expertise answer, Wipro VisionEDGE™, with the Databricks Knowledge Intelligence Platform to ship end-to-end venue transformation, immersive engagements, and personalised communication. This answer is designed to spice up income and elevate experiences by growing shopper participation by AI-assisted good mirrors, driving optimized promotions and immersive social partitions, lowering wait occasions at concession stands and delivering personalised communications at scale.

Go to Wipro VisionEDGE™ to study extra about how the answer has reworked 200+ venues throughout the globe.

Zensar ZenseAI.Knowledge (Telco, Media & Leisure and Expertise)

Telecom and Media & Leisure leaders are reimagining the longer term with AI-driven, real-time experiences powered by ruled information. Databricks Knowledge Intelligence Platform supplies the unified basis for analytics, ML, and GenAI at scale, whereas Zensar brings deep area experience and next-gen accelerators to operationalize innovation. Collectively, we allow autonomous, Agentic AI methods that study, adapt, and act—reworking networks into resilient ecosystems and content material into hyper-personalized journeys. Zensar’s ZenseAI.Knowledge for automated DataOps, governance, and clever orchestration speed up time-to-value, whereas Databricks ensures elasticity and compliance. This partnership isn’t nearly expertise—it’s about shaping an AI-first future for Telecom and M&E.

Try this case research to find out how Zensar reimagined name middle efficiency with Databricks.

Monetary Companies

Companions are delivering monetary providers options that drive development and effectivity whereas managing danger. These options concentrate on buyer 360 implementations to extend income and lifelong worth, wealth advisor productiveness, mortgage overview automation, and dynamic underwriting to handle fraud danger:

Diggibyte FinQ

FinQ is an clever, agent-driven platform engineered to modernize Monetary Planning & Evaluation (FP&A). With deep finance-domain experience, it unifies budgets, forecasts, price buildings, and buyer information right into a single linked view, eradicating silos that delay insights and weaken strategic readability. In contrast to conventional dashboards that cease at static snapshots, FinQ causes throughout monetary dimensions to floor predictive insights. It helps CFOs optimize capital allocation, safeguard liquidity, and unlock development. By automating reconciliation and evaluation, it accelerates planning cycles and frees groups to concentrate on technique and state of affairs modeling. Collaboration throughout finance, gross sales, provide chain, and operations ensures enterprise-wide alignment and agility.

Learn this weblog to find out how FinQ transforms monetary information into actionable, strategic narratives for CFOs.

EY Clever Mortgage Doc Processing

EY’s Clever Mortgage Doc Processing modernizes mortgage overview by automating information extraction, validation, curation, and evaluation on Databricks Knowledge Intelligence Platform with Agent Bricks. The answer combines open supply and proprietary AI instruments to parse mortgage information, extract information fields, reconcile with supply methods, and validate in opposition to enterprise guidelines and regulatory requirements. AI-powered brokers dynamically orchestrate workflows with built-in traceability linking extracted information to supply paperwork. An built-in RAG-based chatbot permits real-time doc search and validation. The answer reduces guide effort by as much as 60%, enhances accuracy and compliance with explainable AI, and auto-generates credit score summaries and exception alerts, permitting establishments to scale operations whereas making certain information integrity and audit readiness.

Fractal Analytics Asset and Wealth Administration

Fractal’s Asset and Wealth Administration answer helps monetary establishments modernize gross sales, portfolio administration, and operations with AI, engineering, and human-centered design. It addresses challenges reminiscent of fragmented information, guide processes, and restricted personalization throughout gross sales, funding, operations, and consumer service capabilities. Prepared-to-deploy GenAI instruments like Cogentiq Gross sales Help streamline gross sales cycles with personalised insights and real-time suggestions. Pre-built accelerators automate reconciliation, fund reporting, onboarding and KYC, and ESG analytics to cut back errors, enhance compliance, and improve consumer experiences. Customized options additional adapt AI-driven methods to unlock AUM development and clear enterprise outcomes.

Study extra about how Fractal fuses information, AI, and human-centered design to remodel asset and wealth administration.

Indicium AI Brokers for Portfolio Intelligence 

Constructed on Databricks, Indicium’s AI Brokers for Portfolio Intelligence function as autonomous portfolio managers — analyzing publicity, monitoring P&L developments, and recommending actions in actual time. Combining ruled monetary information, agentic AI, and proprietary IP, these brokers perceive market dynamics and portfolio habits, surfacing dangers and alternatives throughout methods. Designed for capital markets companies, the answer augments funding decision-making with steady intelligence, bettering danger administration, pace, and efficiency — all powered by the Databricks Knowledge Intelligence Platform.

Learn this weblog to find out how this accelerator helps capital markets groups transfer from reactive monitoring to proactive, data-driven decision-making.

LTIMindtree Cash in Movement

The Cash in Movement (MIM) framework by LTIMindtree helps banks flip uncooked information into actionable insights for income development, retention, and effectivity. Constructed on the Databricks Knowledge Intelligence Platform, MIM unifies structured and unstructured information for real-time analytics and predictive modelling. It monetises transactional intelligence by scalable ingestion, mannequin monitoring, and safe governance utilizing Delta Lake, MLflow, Unity Catalog, and AI/BI Genie. Its six-step course of permits anomaly detection, intent identification through NLP, entity decision, transaction classification, payout prediction, and personalised insights. Impression for main banks embody: 20-30% rise in cross-sell/up-sell income, 12% enhance in inside gross sales, ~10% higher marketing campaign effectiveness, 9% improve in internet curiosity earnings and 12% development in asset e book measurement.

Ness AI powered Excellence in Insights (AIPEX)

The AI powered Excellence in Insights (AIPEX) for monetary providers answer by Ness supplies the power to ingest information from disparate sources, merchandise and codecs into the Databricks lakehouse, to discover, question and wrangle together with your information utilizing pure language, to extract the info into spreadsheets or notebooks and execute fashions. It makes use of Agent Bricks to create brokers to then efficiently automate and increase repetitive operational processes in banks, insurance coverage and monetary advisors in a compliant and intuitive method.  It permits enterprise customers so as to add new information sources shortly and experiment with course of enhancements in a Databricks surroundings.

Ness Capital Markets Buying and selling Intelligence 

The Capital Markets Buying and selling Intelligence answer ingests massive streams of knowledge in close to real-time from disparate sources like market information, pricing, FX, and portfolio info; performs aggregations and calculations of limits and exposures at numerous ranges; creates enterprise occasions when thresholds are breached; and provides context information powered by Agent Bricks to drive downstream choices in compliance, danger, product, and entrance desk workflow methods. It permits for storing the historical past of intraday occasions and insights to make choices from numerous dimensions in comparison with the end-of-day processes used immediately. The answer leverages the Databricks Knowledge Intelligence Platform, enabling information monetization for finish clients.

Ness Fin Crimes Intelligence (FINCRINT) 

The Fin Crimes Intelligence (FINCRINT) answer supplies the potential to handle and prioritize alerts (auto-close, low to excessive danger), enrich alerts utilizing Agent Bricks to assemble instances for investigations and associated varieties, orchestrate dynamic workflows to allow human intervention as wanted, and deploy chatbots to assist with processes and subtasks for investigators. Constructed on the Databricks Knowledge Intelligence Platform, the answer helps cut back false positives, handles excessive ranges of churn in investigators, supplies systemic experience to customers throughout all ranges, and reduces the backlog of alerts to remain in compliance with laws. It augments present fraud options by leveraging APIs for fashions and coverage guidelines.

Persistent Dangerous Service provider

Persistent’s Dangerous Service provider answer transforms service provider danger administration from reactive “catch-and-fix” to proactive “predict-and-prevent.” Constructed on Databricks, it unifies transaction, compliance, behavioral, and sentiment alerts right into a ruled, real-time intelligence layer. Utilizing machine studying fashions, steady multi-signal monitoring, and human-supervised automated actions orchestrated by Databricks Agent Bricks, Dangerous Service provider detects rising dangers early and acts with precision and transparency. This built-in method reduces fraud losses, strengthens compliance oversight, accelerates analyst productiveness, and delivers a scalable, future-ready protection for contemporary digital finance.

Learn this weblog to learn to leverage agentic AI to undertake a “predict-and-prevent” posture that protects the monetary providers ecosystem from unseen liabilities throughout the portfolio.

Qubika Monetary Analyst AI Agent

Qubika’s Finance Analyst AI Agent modernizes enterprise finance by eliminating information silos, lowering guide reporting, and accelerating entry to insights. Questions that beforehand required hours of analyst effort might be answered in minutes. With monetary area intelligence, the agent permits self-service analytics for executives whereas delivering correct, traceable, and audit-ready outcomes. Organizations utilizing the Monetary Analyst AI Agent report 90% sooner time to insights and a 70% discount in ad-hoc analyst requests, all with built-in governance and compliance. The answer is a compound AI system constructed on the Databricks Lakehouse with LangGraph orchestration. It integrates seamlessly with instruments reminiscent of Slack, Groups, CRMs, and enterprise dashboards.

Learn this weblog to see how the agent delivers a leap ahead in monetary intelligence.

Slalom Insurance coverage 360

Insurance coverage 360 is a turnkey answer constructed on Databricks that unifies fragmented enterprise information throughout info silos providing sooner onboarding and transformation of structured and unstructured information belongings through customizable configuration pushed information pipelines and Agent Bricks-assisted info extraction brokers; enabling configurable automation for decreased engineering effort following an insurance coverage {industry} customary information mannequin establishing an insurance coverage lakehouse basis. The answer supplies Doc Intelligence for coverage insights by a specialised RAG answer. It additionally empowers Underwriters and Claims managers with self-service analytics and AI-enabled exploration utilizing Genie-powered pure language queries and skilled Genie areas, finally fostering information democratization throughout the enterprise breaking down departmental information silos.

Learn this weblog to find out how Insurance coverage 360 transforms fragmented insurance coverage information right into a development engine that drives pace, effectivity, and higher enterprise outcomes.

Tiger Analytics Monetary Advisor Assistant

The Monetary Advisor Assistant is a GenAI-powered answer designed to deal with guide, time-consuming funding analysis. Educated on financials, market alerts, and sentiment information, it empowers traders to make sooner, data-backed choices throughout sectors and portfolios. The platform delivers Complete Market Intelligence with real-time updates on indices like NASDAQ and NIFTY50. Its GenAI-driven insights uniquely merge sentiment evaluation with forecast modeling to evaluate market impression. Moreover, the assistant options buyer analysis instruments for producing detailed firm reviews and a Information & Insights Feed geared up with sentiment indicators to visualise potential portfolio impacts throughout various market situations.

Learn this weblog to learn to strengthen advisory workflows and unlock a extra adaptive, intelligence-rich analysis mannequin.

Tiger Analytics Mannequin Danger and AI Governance

Mannequin Danger and AI Governance is a scalable, Databricks-native answer from Tiger Analytics that unifies Mannequin Danger Administration with AI governance for BFSI enterprises. It delivers end-to-end lifecycle management, from stock and validation to steady monitoring, drift detection, equity evaluation, and audit-ready reporting. Constructed on regulatory finest practices and Databricks observability, it ensures transparency, reproducibility, and moral AI deployment throughout credit score danger, fraud, underwriting, and buyer fashions. By automating workflows and integrating compliance controls, the answer reduces guide effort by 60-80%, accelerates approvals, mitigates bias and drift dangers, and builds enterprise belief, enabling secure, accountable AI scaling.

Learn this weblog to study why Mannequin Danger Administration is extra related than ever and the way AI has reshaped the danger panorama.

Tredence ATOM for Agentic AI (Fraud Protection)

A number one Tier-1 monetary establishment reworked its fraud detection by deploying a multi-agent AI structure on Databricks. Confronted with rising fraud danger and guide, document-heavy workflows, the group automated processing throughout greater than 3.6 million monetary data. Specialised AI brokers have been built-in to extract, validate, and analyze paperwork in close to actual time, accelerating investigations and lowering friction. Tredence introduced deep experience in fraud detection and multi-agent AI design, constructing sturdy agent integrations and the info basis required to scale securely. Constructed on Databricks’ Knowledge Intelligence Platform, the establishment achieved compliant, scalable doc intelligence and a stronger fraud prevention framework.

Learn this weblog to study extra about how this monetary establishment was capable of modernize their capabilities.

Wipro WealthAI

WealthAI, a part of Wipro Intelligence™, a unified suite of AI-powered platforms, options and transformative choices, improves monetary advisor productiveness and strengthens buyer relationships. WealthAI leverages the Databricks Knowledge Intelligence platform to unify fragmented wealth administration methods and ship AI-powered consumer intelligence. By leveraging Agent Bricks to remodel key processes and consolidating information beneath safe governance with Unity Catalog, it permits hyper-personalized advisory by a 360° consumer view and drives predictive insights utilizing AI brokers and pure language analytics. WealthAI options embody automated workflows that streamline onboarding, KYC, and portfolio rebalancing, whereas Delta Sharing permits safe, compliant information trade.

Learn this text to find actionable insights on AI in wealth administration.

Xebia Agentic Catastrophic Danger Answer

Xebia’s Agentic Catastrophic Danger Answer shifts disaster underwriting from a reactive, guide course of to a constantly adaptive, AI-driven functionality. By combining agentic reasoning, predictive forecasting, and real-time geospatial intelligence, the answer delivers up-to-date danger assessments throughout floods, wildfires, windstorms, and different catastrophic occasions. Organizations achieve clearer visibility into publicity and portfolio danger, whereas underwriters obtain assured, guideline-aligned suggestions supported by clear, audit-ready reasoning. Seamlessly built-in with present underwriting and coverage methods, the platform accelerates decision-making, improves pricing accuracy, strengthens regulatory compliance, and helps cut back loss ratios—enabling insurers to reply proactively to growing local weather volatility.

Learn this white paper and weblog to find out how Agentic AI is reworking CAT and property claims by delivering sooner, fairer, and absolutely explainable outcomes.

zeb Agentic Grasp Knowledge Administration (MDM) for Monetary Companies

zeb’s Agentic Grasp Knowledge Administration (MDM) for Monetary Companies accelerator automates and unifies fragmented information reconciliation utilizing agentic AI and Agent Bricks intelligently on the Databricks Lakehouse with native integrations to D&B, Moody’s, and so forth. It consolidates funds, securities, counterparties, and consumer information right into a single supply of reality whereas making certain compliance with CCPA and GDPR. With Unity Catalog for safety and governance, it reduces guide reconciliation efforts by as much as 90% and permits AI-ready information for danger administration and innovation.

Learn this weblog to find out how this accelerator brings agent-driven perception, automated entity unification, and centrally ruled mastering into one streamlined framework.

Zensar ZenseAI.Knowledge (Insurance coverage)

Within the digital economic system, insurers should overcome information silos, legacy methods, and regulatory pressures to remain aggressive. Zensar, in partnership with Databricks, affords ZenseAI.Knowledge, an accelerator that permits information democratization, governance, agility, and GenAI integration throughout the insurance coverage worth chain. It simplifies legacy migration, leverages Databricks Lakehouse for unified analytics, and delivers outcomes like sooner underwriting, fraud detection, and improved compliance. With confirmed outcomes—as much as 50% information high quality enchancment and 30% price discount—Zensar helps insurers shift from reactive reporting to predictive insights and deploy GenAI-powered options for transformation and development.

Learn this weblog to study how one can unlock insights, modernize legacy methods, and energy GenAI-driven transformation with Zensar and Databricks.

Healthcare and Life Sciences

Companions are accelerating scientific breakthroughs and bettering affected person outcomes. Life sciences options goal drug discovery, manufacturing, and industrial effectiveness, whereas healthcare options concentrate on affected person outcomes, streamlined operations, and high quality of care. These options present complete affected person insights, end-to-end provide chain visibility, scientific trial automation, and precision drugs capabilities:

Capgemini Well being Care Brokers

Healthcare methods face fragmented information silos throughout outpatient care, pathology, therapy planning, and pharmacy—delaying choices, growing prices, and risking affected person security. Well being Care Brokers, a Multi-Agent Supervisor Answer on Databricks Agent Bricks, addresses this by 4 specialised area brokers orchestrated beneath Unity Catalog governance. The structure ensures seamless collaboration and information move, with an intuitive Databricks Apps front-end delivering a clinician-friendly expertise. This built-in ecosystem permits sooner scientific choices, improved affected person outcomes, and optimized operational efficiency throughout the healthcare supply continuum. Study extra about this answer within the publish right here

Entrada Affected person 360 

Entrada’s Affected person 360 answer on Databricks unifies numerous information — EHRs, claims, genomics, wearables — right into a single, complete affected person view. This composable, scalable platform simplifies pipelines for fast onboarding and enhanced information high quality. Constructed-in governance and compliance options safeguard privateness and meet regulatory wants. Leveraging superior AI and predictive modeling, Affected person 360 permits organizations to course of information shortly, unlock real-time insights, and determine high-risk sufferers for proactive scientific decision-making and improved outcomes.

Learn this weblog to learn to course of huge datasets at excessive pace, unlock real-time insights, and apply predictive fashions to determine high-risk sufferers and allow proactive interventions. 

EPAM SafeAI Chatbot 

EPAM’s Secure AI Chatbot on Databricks brings conversational AI to regulated, high-risk environments with strict governance. In 4–6 week proof-of-concept engagements, EPAM configures agentic workflows skilled on enterprise context to interpret consumer intent whereas serving solely validated, pre-approved responses from curated static content material libraries. This “select-not-generate” method eliminates unpredictability in generative methods, making certain each output is dependable, auditable, and policy-aligned, whereas delivering quick and intuitive self-service for workers and clients. Working with Databricks, EPAM accelerates the setup of safe information and orchestration layers, builds curated response foundations, and deploys tooling for secure, scalable conversational AI pilots in regulated environments.

Fractal Well being Triage 

Fractal’s Well being Triage permits payers and suppliers to maneuver from reactive care to proactive and preventive well being administration. It harmonizes information from a number of sources to create complete member profiles and makes use of AI-driven insights to determine at-risk members, prioritize interventions, and personalize engagement. By integrating seamlessly with present Care Administration platforms, Well being Triage helps care groups coordinate actions, ship focused interventions, and constantly enhance outcomes by suggestions loops. This leads to higher member well being and improved operational effectivity.

Try this weblog to find out how Well being Triage helps payers ship smarter, proactive care.

Genpact FAIRBricks 

Genpact’s FAIRBricks, constructed on Databricks Knowledge Intelligence Platform, transforms life sciences R&D information right into a strategic asset by embedding FAIR rules—Findable, Accessible, Interoperable, and Reusable—into workflows. It addresses fragmented, siloed information that slows innovation by making a unified information material utilizing Databricks’ Unity Catalog. FAIRBricks standardizes ingestion, governance, and interoperability, enabling seamless collaboration and accelerating analytics and AI adoption. This end-to-end framework simplifies information administration with out including complexity, making certain structured, reusable datasets for sooner insights and improved outcomes. By operationalizing FAIR rules at scale, FAIRBricks unlocks the complete potential of scientific information, driving effectivity, compliance, and discovery throughout trendy analysis ecosystems.

Learn this weblog to study extra and go to this web page for extra particulars in regards to the answer.

Genpact FHIRIgnite 

Genpact’s FHIRIgnite simplifies healthcare information integration by leveraging Databricks Knowledge Intelligence Platform as its basis. This clever, no-code mapping platform addresses interoperability challenges by enabling clinicians and analysts—not simply engineers—to unify disparate information codecs like FHIR, HL7 v2, CDA, and proprietary schemas by a drag-and-drop interface. Constructed on Databricks, it helps scalable, bidirectional information flows, accelerating analytics, AI growth, and care coordination. By eliminating months of guide coding, FHIRIgnite reduces technical bottlenecks, lowers prices, and empowers area consultants to create unified affected person views. The consequence: actionable insights, improved outcomes, and operational flexibility for contemporary healthcare ecosystems.

Learn this weblog to study extra and go to this web page for extra particulars in regards to the answer.

Hexaware Incident Decision Assistant

Incident Decision Assistant powered by Agentic AI and Databricks accelerates incident decision with clever insights and sooner retrieval. This AI-driven answer leverages Databricks’ unified platform to streamline incident identification and determination throughout ETL pipelines. Utilizing the Databricks Agent Bricks agentic framework, two specialised brokers—Summarization and Key Data Extraction—retrieve related historic incidents, synthesize resolutions from a number of sources, and ship actionable insights by an intuitive dashboard. The answer achieves 67% sooner decision occasions, 3X effectivity beneficial properties by Conversational AI, and seamless historic information integration. Organizations can optimize incident-management workflows, enhance SLA response occasions, and unlock Databricks’ full potential for scalable analytics and operational excellence.

Learn this flyer to discover how Incident Decision Assistant ensures scalable, clever, and real-time entry to operational data.

MathCo Affected person Assist Packages

MathCo helped a world pharmaceutical consumer remodel Affected person Assist Packages (PSPs) utilizing hyper-personalization. By integrating affected person surveys, claims, scientific, and engagement information on Databricks Knowledge Intelligence Platform, MathCo constructed scalable Affected person 360 analytics and AI-driven personalization. The answer enabled tailor-made monetary help, proactive adherence assist, and individualized academic content material, bettering engagement and remedy outcomes. Automated state of affairs simulations and explainable suggestions decreased guide effort and standardized PSP effectiveness throughout manufacturers. MathCo’s method delivered measurable outcomes: deeper insights into affected person habits, enhanced adherence, and a reusable analytics framework, empowering the consumer to implement patient-centric, data-driven PSPs at scale.

Learn this text to learn to guarantee safe governance, regulatory compliance, efficiency, and value effectivity for international PSP operations.

MathCo Gross sales Rep Assistant (RepGPT)

MathCo’s Gross sales Rep Assistant (RepGPT), a multi-agent AI platform constructed on Databricks, reworked pharmaceutical engagement for a number one international firm by unifying fragmented information, automating workflows, and delivering real-time, actionable insights. The answer enabled MSLs, PMLs, and gross sales reps to entry scientific, CRM, and market intelligence by pure language queries, streamlining pre-call planning, KOL prioritization, and engagement monitoring. Key outcomes included 60% discount in administrative prep time, 30% enchancment in HCP engagement high quality, 50% fewer repetitive duties, and a 25% enhance in rep productiveness. RepGPT empowers pharma professionals to make sooner, smarter choices and drive measurable enterprise impression.

Learn this text to learn to assist real-time retrieval, reasoning, and synthesis throughout structured and unstructured information sources for RepGPT workflows.

Sigmoid Claims AI 

In shopper healthcare, product claims drive model belief and buying choices, but many organizations depend on guide processes that gradual growth and produce generic messaging. Sigmoid’s Claims AI answer, constructed on Databricks Agent Bricks, unifies scientific proof, shopper sentiment, and aggressive intelligence right into a GenAI-driven workflow. It processes critiques, social conversations, and surveys to extract themes and emotion scores whereas mechanically mapping claims to scientific sources with proof energy scores. A reasoning agent synthesizes these inputs into differentiated, brand-aligned claims with automated validation for accuracy and regulatory compliance. A number one healthcare model decreased declare growth timelines by 90%, saving $93K month-to-month in analysis prices whereas standardizing workflows throughout 200+ markets, delivering sooner innovation and stronger aggressive differentiation.

Slalom Medical Knowledge 360

Slalom’s Medical Knowledge 360 is a Databricks Brickbuilder Answer that quickly unifies multimodal scientific and real-world information on the Databricks lakehouse. It permits life sciences groups to cause throughout affected person journeys, trials, and outcomes utilizing ruled, AI-ready information — delivering insights which are reliable, compliant, and scalable throughout the enterprise.

Learn this weblog to learn to activate scientific and real-world information for sooner, extra assured choices.

Syren On-Time In-Full Supply

On-Time In-Full Supply (OTIF-D) is mission-critical within the Well being & Life Sciences sector, the place each order straight impacts affected person care, compliance, and provide chain continuity. Constructed on Databricks and powered by GenAI, Syren’s OTIF-D answer unifies fragmented achievement information, predicts supply dangers, and proactively flags delays utilizing historic and real-time alerts from manufacturing, logistics, and accomplice methods. The platform automates root-cause insights, improves supply accuracy, and ensures dependable, compliant, and on-schedule fulfilment throughout international HLS operations. By combining Databricks Lakehouse, Gen-AI-powered intelligence framework, and Syren’s area experience, enterprises obtain larger OTIF efficiency, decrease prices, and stronger provide chain resilience.

Learn this weblog to find out how Syren supplies exact lead-time planning, correct forecasting, synchronized logistics, and uncompromised information integrity.

Tiger Analytics Medical Research Report Generator 

The Medical Research Report Generator is a GenAI-powered answer designed to automate scientific trial documentation, addressing the guide effort and error dangers related to FDA Security Analysis Reviews. By automating information extraction and summarization, it permits the fast, correct creation of FDA-compliant paperwork. The answer includes 4 key parts: a Knowledge Parsing module for extracting structured information; a GenAI Summarization Module utilizing LLMs for security summaries; a GenAI Report Builder Engine to assemble FDA-aligned reviews; and a Validation Assistant for human-in-the-loop overview. This complete method streamlines regulatory reporting whereas making certain excessive accuracy by immediate tuning.

Learn this weblog to find out how GenAI is reshaping regulatory documentation and bringing new precision and scalability to Medical Research Report creation.

Tiger Analytics Subsequent Finest Motion 

Subsequent Finest Motion (NBA) is an AI-powered framework that makes use of real-time information, machine studying, and predictive analytics to find out the simplest interplay for every buyer at any second. It analyzes habits, context, and historical past to ship personalised suggestions, affords, or resolutions throughout channels. In contrast to conventional batch campaigns, NBA permits true one-to-one advertising and marketing, optimizing buyer expertise whereas driving enterprise outcomes like larger conversion, retention, and lifelong worth. This answer supplies sturdy NBA capabilities, serving to organizations shift from reactive service to proactive, customer-centric engagement that builds loyalty and income.

Learn this weblog to find out how life sciences organizations can ship well timed, tailor-made suggestions that maximize the impression of each single HCP interplay.

Tredence ATOM for Agentic AI (Root Trigger Evaluation)

Within the pharmaceutical {industry}, efficient root trigger evaluation calls for seamless connection of disparate information sources, scientific trial outcomes, hostile occasion reviews, manufacturing logs, and regulatory paperwork. A data graph is crucial to hint advanced causal relationships throughout the drug lifecycle, from molecular interactions to affected person outcomes. Tredence brings deep pharma and information science experience to design and operationalize this intelligence layer, whereas Databricks delivers the scalable information and AI basis to ingest, harmonize, and put together datasets. Collectively, they assist real-time sample detection and multi-hop reasoning, lowering investigations from weeks to hours and uncovering insights conventional methods miss.

Learn this weblog to find out how a a $50B pharma chief used a GenAI-powered RCA agent and data graphs on Databricks to cut back diagnostic time by 60% and get rid of provide chain silos.

ZS Enterprise Danger Administration 

ZS has developed a cutting-edge Enterprise Danger Administration answer leveraging the Databricks Knowledge Intelligence Platform to revolutionize how organizations mine public analyst reviews for rising dangers. With real-world deployments and measurable impression, it’s a compelling providing for pharma and monetary providers groups in search of to modernize danger intelligence.

Watch this on-demand webinar to find out how Gilead makes use of GenAI to remodel danger administration.

Manufacturing & Power

Companions are serving to clients enhance income, optimize prices, and enhance industrial productiveness whereas constructing provide chain and monetary resilience. Options embody AI-powered defect detection, situation evaluation, superior analytics for utility meters and grid modernization, provide chain optimization, and contract workflow automation:

Avanade AI-Powered Buyer Expertise 

Avanade’s AI-Powered Buyer Expertise (ACE) answer leverages Databricks Agent Bricks to remodel customer support for vitality and utilities organizations going through market volatility and regulatory calls for. ACE combines Avanade’s Agent Framework and RAG Toolkit to deploy clever brokers that ship instantaneous responses to buyer queries, automate compliance doc search, and supply personalised vitality effectivity insights. Built-in with Databricks’ Knowledge Intelligence Platform, the answer permits sturdy governance, steady monitoring, and scalable agent lifecycle administration. By automating guide processes, ACE drives vital price financial savings and boosts buyer satisfaction, with real-world deployments reaching as much as 70% discount in compliance retrieval time and sooner assist ticket decision, empowering groups to ship revolutionary, data-driven experiences whereas adapting shortly to {industry} challenges.

Bizmetric FlowAgent – AI Pushed Workflow Enforcement

FlowAgent is an AI infused workflow orchestration answer that turns SOPs into enforced, executable processes. Utilizing agentic AI, FlowAgent mechanically interprets insurance policies, assigns possession, sequences duties, and screens execution in actual time, lowering the psychological load on course of homeowners who would in any other case handle observe ups, exceptions, and standing monitoring manually. Constructed to combine with present HR, HSE, and entry methods and supported by trendy information platforms like Databricks, FlowAgent supplies a single execution layer that ensures work is accomplished appropriately, constantly, and safely earlier than crucial operations start. Learn this weblog to study extra.

Bizmetric OT AI Platform – Asset and Course of Reliability Platform

The OT AI Platform is an AI infused asset and course of reliability answer designed for industrial operations. It combines sensor information, asset fashions, and plant documentation to foretell failures, detect anomalies, and information operators by root trigger evaluation in actual time. A GenAI Copilot helps customary working procedures, diagnostics, and security queries utilizing human-like reasoning. The platform maps stay plant information to asset parameters, trains and deploys fashions, and explains contributing elements with actionable suggestions. Constructed on Databricks, it scales securely throughout vegetation whereas lowering operator cognitive load and bettering uptime, security, and efficiency. Learn this weblog to study extra.

Bizmetric SafeVisionAI – Scalable Laptop Imaginative and prescient Security Platform 

SafeVisionAI is an AI powered laptop imaginative and prescient answer for actual time hazard detection and security monitoring in industrial environments. It analyzes stay digital camera feeds and sensor information to determine unsafe behaviors, PPE non compliance, restricted space entry, and environmental dangers. The platform triggers automated alerts, logs incidents for compliance, and permits steady 24×7 monitoring with out guide supervision. By reworking video information into actionable security intelligence, SafeVisionAI reduces accidents, improves regulatory compliance, and strengthens general office security throughout factories, vegetation, and excessive danger operational zones. Learn this weblog to study extra.

Celebal Applied sciences CT Imaginative and prescient 

CT Imaginative and prescient by Celebal Applied sciences transforms video streams into actionable enterprise intelligence on the Databricks lakehouse. This answer combines multimodal and agentic AI to research visible information with unprecedented precision and pace throughout manufacturing, building, retail, and vitality sectors. Its Clever Agent Framework deploys customizable AI brokers that detect anomalies, guarantee compliance, improve security, and predict operational dangers in actual time. By fusing visible, textual, and temporal analytics into Databricks’ unified infrastructure, CT Imaginative and prescient delivers measurable outcomes—decreased downtime, improved workforce security, and elevated determination accuracy—serving to enterprises remodel passive commentary into proactive intelligence throughout industries.

Learn this weblog to find out how CT Imaginative and prescient creates a dynamic ecosystem of clever, task-specific AI brokers that remodel visible information into real-time enterprise insights.

Elitmind Concord

Concord is an AI-powered reconciliation platform that ensures buyer data are correct, constant, and unified throughout all methods. The answer mechanically validates, cleanses, and corrects buyer tackle information in opposition to official territorial registers, built-in with Databricks for scalable and safe processing. For a serious vitality supplier’s mass mailing marketing campaign, Concord accomplished tackle information cleaning of 100,000 unmatched data in simply 1 hour 11 minutes – 53% sooner than the two.5-hour goal. These data had no matches within the buyer database, requiring full tackle standardization and validation. By eliminating information inconsistencies, lowering operational prices, and making certain compliance with nationwide requirements, Concord delivered distinctive pace and accuracy for high-volume information duties.

EY Geospatial Enterprise AI 

EY’s Geospatial Enterprise AI answer unlocks geospatial information worth by streamlining integration with enterprise datasets on Databricks Intelligence Platform utilizing Unity Catalog, Lakeflow, and Serverless capabilities. The answer addresses challenges organizations face when platforms lack integrations for advanced geospatial codecs, creating missed alternatives. It delivers AI-ready datasets in open codecs, considerably lowering information engineering effort and accelerating mannequin deployment throughout provide chain, monetary planning, and asset danger modeling use instances. Designed for organizations leveraging geospatial and enterprise information with AI, the answer combines intuitive integration, Databricks AI-enabled experiences, and the EY group’s optimization experience to remodel Earth info into strategic benefits for driving development, effectivity, and resilience.

Watch this video to learn to elevate your decision-making with a brand new layer of insights.*

Lovelytics Gridlytics 

Gridlytics AI is a purpose-built accelerator that helps utilities modernize grid operations by AI-driven insights and scalable information options. By unifying environmental alerts, asset efficiency metrics, and subject information inside a ruled Lakehouse structure, Gridlytics AI empowers grid operators to proactively assess danger, automate guide workflows, and make sooner, data-driven choices. With options like pure language querying, automated danger evaluation, and GenAI-powered work order creation, utilities can cut back unplanned outages, improve operational effectivity, and ship a superior buyer expertise—all whereas streamlining compliance reporting and capital planning. 

Learn this weblog to find out how Gridlytics helps utilities unify information silos, automate crucial workflows, and leverage interpretive and agentic AI to drive smarter decision-making throughout grid operations.

MathCo Manufacturing Scheduling Optimization

Confronted with inefficiencies and missed deadlines, a number one beverage producer turned to MathCo’s AI-powered scheduling optimization to unify planning, scheduling, and execution throughout six websites. Leveraging superior AI, human-in-the-loop oversight, and seamless ERP integration, the answer decreased report era from over six hours to beneath quarter-hour per website per day and saved 24,000+ planner hours yearly. Steady schedule optimization improved responsiveness, minimized product losses, and enhanced operational productiveness. By augmenting present methods with out disrupting core processes, MathCo delivered a resilient, insight-driven scheduling functionality that empowers manufacturing groups to make sooner, smarter, and extra dependable choices.

Learn this text to find out how this answer enhances present ERP and scheduling platforms and provides an clever optimization layer on prime of established processes.

Neudesic Transformer Load Administration

With out visibility into growing older and overloaded transformers, utilities danger sudden failures, expensive outages and inefficient infrastructure planning. Neudesic’s Transformer Load Administration answer permits utilities to observe and handle the well being of distribution transformers utilizing good meter information, thermal modeling and predictive analytics. It additionally features a pure language interface, Discuss With My Transformer, that enables operators to question transformer information conversationally, accelerating insights and decision-making.

Watch this video to see how Neudesic boosts grid reliability and cuts failures by 50%.

ORAYLIS Contract Assistant

The ORAYLIS Contract Assistant is an AI-powered accomplice for managing and creating contracts and different enterprise paperwork constructed on Azure Databricks for high-performance information processing and scalability. It analyzes your present paperwork, captures their construction, formatting, and wording patterns, and applies this information that can assist you generate new contracts or purposes in a fraction of the same old time. By leveraging your confirmed templates and previous submissions, it ensures consistency, compliance, {and professional} high quality whereas maintaining you in full management of each change. The modular and extensible structure makes it straightforward so as to add new capabilities as processes and necessities evolve.

Learn this weblog to find out how the Contract Assistant on Azure Databricks accelerates contract creation with AI-driven drafting, compliance checks, and standardized language throughout your paperwork.

ORAYLIS Multilingual Order Agent 

The ORAYLIS Multilingual Order Agent is an clever voice processing answer constructed on Azure Databricks using Mosaic AI to streamline order consumption processes. It mechanically understands and extracts structured order info from buyer calls in a number of languages. By evaluating acknowledged speech with a grasp product catalog saved and processed in Databricks, the agent generates a structured, tabular order abstract which makes it prepared for seamless integration into ERP or ordering methods.

Learn this weblog to find how the Multilingual Order Agent on Azure Databricks automates phone-based order consumption and transforms unstructured conversations into clear, structured information at scale.

Sigmoid Product Advice 

In B2B manufacturing, quick and correct product suggestions are important for buyer responsiveness and portfolio optimization, but most organizations depend on guide, expertise-heavy processes that gradual response occasions and introduce inconsistencies. Sigmoid’s Product Advice answer, constructed utilizing the Agent Bricks Framework, automates the complete inquiry-to-recommendation workflow by ingesting buyer briefs and utilizing specialised brokers to interpret necessities, extract attributes, and match them with appropriate SKUs whereas producing cross-sell and upsell recommendations. A world B2B cocoa producer changed its guide technique of looking by 20,000+ SKUs, lowering buyer response time from 10 days to 10 minutes whereas doubling portfolio utilization and chopping new product dependency by 50%. Automated suggestions drove a 5% gross sales improve and improved time-to-market by 25%, delivering better industrial agility and maximizing product portfolio worth.

Tredence ATOM for Agentic AI (Fashionable Mining Operations)

Deriving actionable insights in mining is inherently advanced, spanning a number of enterprise capabilities, from tools upkeep and security to logistics, stock, and renewable vitality integration. As mining enterprises speed up their AI-powered digital journeys, they want an clever chatbot that really speaks the language of the enterprise. Powered by Databricks’ superior AI capabilities and Tredence’s deep manufacturing and mining experience, this answer unifies fragmented information silos right into a single intelligence layer. It permits real-time tools diagnostics, proactive security monitoring, optimized stock and logistics choices, and superior analytics, empowering leaders to make sooner, smarter, and extra resilient operational choices at scale.

Learn this weblog to find out how agentic AI is powering the subsequent wave of mining intelligence.

Wavicle Tariff Intelligence for Databricks

Wavicle’s Tariff Intelligence for Databricks is a part of Wavicle’s broader Provide Chain options portfolio, constructed to assist organizations proactively handle tariff danger, compliance, and value optimization. Designed for retail and manufacturing organizations, the answer runs on the Databricks Lakehouse and is powered by Agent Bricks, utilizing agentic AI to automate tariff classification, harmonize international commerce information, and simulate price impacts throughout suppliers, SKUs, and areas. With prebuilt information fashions for SAP, curated pipelines, and ruled analytics, provide chain and finance analysts can transfer sooner, from perception to motion, defending profitability, optimizing sourcing methods, and capturing market share with confidence, all whereas accelerating time to worth on Databricks.

Learn this weblog to study extra.

Retail, Shopper Items, Journey & Hospitality

Companions are enhancing buyer expertise personalization, bettering worker productiveness, strengthening provide chain resiliency, and offering market intelligence. Options embody clever GenAI companions for frontline staff, unified suggestions intelligence, model fairness insights, dynamic pricing, and B2B gross sales optimization:

Accenture ai.Retail

Accenture’s ai.Retail options, inbuilt partnership with Databricks, are designed to deal with key retail {industry} challenges reminiscent of siloed information, guide processes, and the necessity for predictive, data-driven decision-making in merchandising assortment and provide community analytics.  Infused by Accenture’s {industry} expertise and Agentic AI framework, the options leverage superior AI/ML fashions within the Databricks Knowledge Intelligence Platform, unified information structure, and scalable analytics to optimize stock, assortment, pricing, and provide chain operations.  Actual-world use instances, technical structure, and consumer success tales show measurable advantages reminiscent of elevated gross sales, enhanced margin, decreased prices, and improved provide chain agility.

Celebal Applied sciences Synthetic Intelligence Buyer Expertise Administration 

Celebal Applied sciences’ Synthetic Intelligence Buyer Expertise Administration (AICXM) is a GenAI-powered buyer expertise platform constructed natively on the Databricks Knowledge Intelligence Platform. It affords a modular suite together with omni-channel digital assistants, real-time agent steering, 100% interplay high quality monitoring, and a unified Buyer 360, integrating numerous information sources. Leveraging Databricks’ scalable infrastructure and governance through Unity Catalog, AICXM ensures compliance, safety, and excessive efficiency. Enterprises profit from elevated buyer satisfaction, price discount, income development by AI-driven suggestions, and decreased churn. By combining AI automation, clever insights, and unified information, AICXM transforms buyer engagement throughout industries.

Learn this weblog to find out how AICXM permits enterprises to maneuver past siloed insights and ship seamless, environment friendly, and personalised service.

CI&T B2B Gross sales Optimizer 

The B2B Gross sales Optimizer by CI&T is an AI-powered answer constructed natively on Databricks to extend B2B gross sales effectiveness by unifying information throughout gross sales, clients, merchandise, and promotions. Utilizing superior machine studying and predictive analytics, it delivers actionable suggestions on what to promote, to whom, and when, guiding gross sales groups by Databricks Apps, cell, or conversational interfaces with out requiring technical experience. The platform enhances forecasting accuracy, strengthens stock planning, and will increase income by optimum affords and next-best actions. Expandable with capabilities like churn prediction, dynamic pricing, and multichannel engagement, the B2B Gross sales Optimizer transforms advanced information into real-time, sensible steering and serves as a scalable basis for broader AI adoption.

Learn this weblog to find out how CI&T integrates superior forecasting, advice engines, and conversational insights right into a unified workflow.

Datasentics AI Dynamic Pricing 

DataSentics AI Pricing is an enterprise-grade answer for retailers and FMCG producers that automates worth optimization (together with promotions optimization) utilizing Databricks-native ML pipelines. It ingests gross sales, product, buyer, and competitor information to mannequin demand elasticity and advocate optimum costs beneath enterprise constraints. The answer integrates seamlessly with present ERP/eCommerce methods through API or CSV export and helps A/B testing, multi-country rollout, and customizable guidelines. Confirmed long-term outcomes embody 30+% income uplift and 15+% revenue improve.

Diggibyte Shopper360 

Shopper360 is a next-generation answer that helps retail and shopper items leaders excel in buyer understanding. By linking identities throughout internet, app, retailer, and market channels, it removes duplicate profiles, wasted media spend, and disjointed journeys. As a substitute of fragmented dashboards, Shopper360 unifies POS, e-commerce, loyalty, returns, and media information right into a single trusted view. Predictive intelligence anticipates buyer habits, measures lifetime worth, and guides choices. Grounded in retail realities like householding, retailer clusters, promotions, and substitutions, it permits personalised engagement throughout touchpoints. Shopper360 transforms retail technique from reactive to proactive, strengthening collaboration and driving loyalty, effectivity, and development.

Learn this weblog to find out how Shopper360 unifies buyer information into golden data to prescribe personalised, real-time retail actions.

Diggibyte DemandIQ 

DemandIQ is a retail intelligence platform that permits smarter stock choices in fast-moving markets. By integrating information from POS, ERP, provider feeds, promotions, and exterior alerts, it creates a real-time view of demand and inventory positions. Conventional dashboards present issues after they occur, whereas DemandIQ delivers predictive insights that account for seasonality, promotions, lead occasions, and class developments. It helps retailers anticipate surges, optimize SKUs, and free working capital. Retailers, planners, and provide chain groups collaborate on a shared intelligence layer, balancing stock with demand. DemandIQ transforms stock administration from reactive firefighting right into a proactive, GenAI-driven benefit.

Learn this weblog to find out how DemandIQ makes use of multi-agent AI to offer prescriptive, real-time retail demand forecasting.

Fractal Analytics Retail Media Networks 

Fractal’s Retail Media Networks permits CPG manufacturers and third-party market advertisers to run focused campaigns utilizing a retailer’s first-party information enriched with a buyer identification graph. This makes promoting extra related, measurable, and efficient. Whereas retail media has historically centered on mid- and lower-funnel activations near the purpose of buy, Fractal’s answer extends its impression to the higher funnel by driving consciousness and consideration. It empowers retailers to unlock new income streams and helps manufacturers ship personalised, full-funnel engagement that enhances buyer expertise and maximizes advertising and marketing ROI.

Try this whitepaper to find out how manufacturers can scale retail media with AI-driven insights.

Impetus Provide Chain Demand Forecasting Accelerator

Impetus’ Provide Chain Demand Forecasting Accelerator makes use of Databricks Genie and Agent Bricks to ship conversational, GenAI-driven provide chain intelligence on a unified Lakehouse platform. It permits planners, procurement, and operations groups to ask natural-language questions and immediately entry insights on demand developments, stock danger, and provider efficiency—with out SQL or analyst dependency. Constructed on ruled Delta Lake information, the answer combines text-to-SQL analytics with superior forecasting, state of affairs evaluation, and danger detection. With Unity Catalog governance and serverless SQL efficiency, the accelerator drives sooner choices, decreased stock prices, and improved provide chain resilience by autonomous, data-driven planning. 

Learn this weblog to study extra about this accelerator.

Infogain Journey and Leisure Expense Exception Identifier 

A number one American airline partnered with Infogain to modernize T&E compliance by a GenAI-powered multi-agent framework, together with a Monetary Skilled AI Agent working alongside coverage reasoning and exception detection brokers. Constructed on the Databricks lakehouse with Delta Tables, Unity Catalog, and Agent Bricks, these AI Brokers translated advanced T&E insurance policies into executable SQL, utilized reasoning-based checks, and constantly analyzed transactions at scale. Collectively, the brokers recognized ~256K exceptions (12% of all transactions) over 12 months. The answer delivered >$30 in recognized exception alerts versus ~$7M from present processes, reaching a ~50% achieve in audit effectivity with full lineage and transparency. Learn this weblog to study extra.

Infogain Advertising Combine Mannequin Optimization 

A retail large partnered with Infogain to modernize Advertising Combine Modeling by embedding AI Brokers throughout the complete modeling lifecycle. Constructed on the Databricks lakehouse with Unity Catalog and Agent Bricks, the answer unified fragmented information whereas AI Brokers automated information ingestion, characteristic engineering, speculation era, and Bayesian calibration. This agent-driven method enabled fast experimentation, real-time state of affairs simulations, and steady optimization. Superior media dynamics reminiscent of ad-stock, half-life results, and diminishing returns have been absolutely operationalized. The result was a 75% discount in mannequin construct time, 5× sooner media optimization, improved ROI, a 240% improve in promoting income, and 150% development in contract income, delivering scalable, AI-powered advertising and marketing intelligence with measurable enterprise impression. Learn this weblog to study extra.

Kubrick Defect Decision AI Assistant

The Defect Decision AI Assistant provides technicians context-aware insights to make efficient fixes that preserve flights on schedule. Constructed on the Databricks Knowledge Intelligence Platform, it combines and governs all information—from OEM manuals, technician logbooks, and work orders to components stock and flight schedules—offering a 360-view of what wants fixing, when, and the way. Technicians question defects in pure language with Databricks Genie, utilizing NLP and real-time similarity search to search out beneficial resolutions, components availability, and prioritization aligned to flight schedules. The answer strikes upkeep from reactive to streamlined by monitoring continual defects to optimize stock and planning whereas constructing an ‘AI-memory’ of efficient remediation steps to enhance technician efficacy and quickly upskill junior workers.

Learn this case research on how Defect Decision AI Assistant helped a serious airline enhance fleet upkeep and maximize their capability to meet their routes. Try this weblog to dive deeper into AI for plane upkeep use instances.  

Lingaro Steered Order 

Lingaro’s Steered Order answer, constructed on the Databricks Knowledge Intelligence Platform, empowers CPG gross sales groups through the use of AI to generate optimized order suggestions. It shifts order taking from a reactive course of to a proactive, data-driven method, leveraging historic information and predictive algorithms. This results in larger order accuracy, improved upsell alternatives, and time effectivity. The answer contains modules for micro-segmentation, assortment recommendations, and amount recommendations, making certain alignment with shopper wants at every outlet. Key to its success are clear information, enterprise rule calibration, consumer adoption, and steady enchancment. By addressing variables typically missed by conventional forecasting, Steered Order drives income development and optimizes stock administration.

Learn this weblog to find out how AI-powered gross sales orders enhance CPG effectivity by offering exact, outlet-level stock and assortment suggestions utilizing information.

MathCo Assortment and Vary Planning 

MathCo delivered a systemic AI-led assortment planning answer for a world CPG firm, reworking legacy, spreadsheet-driven processes right into a proactive, data-driven platform. Leveraging Databricks, the answer built-in POS, product, pricing, and promotion information, enabling state of affairs simulation, demand transference evaluation, and aggressive visibility. Planners gained localized, explainable suggestions with steady optimization throughout SKUs, manufacturers, and channels. Key outcomes included a unified planning platform, sooner decision-making, improved collaboration, and extra correct portfolio optimization. By harmonizing on-line and offline insights and embedding AI into each day workflows, MathCo empowered the consumer to anticipate market shifts, drive development, and switch assortment planning right into a strategic benefit.

Learn this article on how MathCo and Databricks modernize retail assortment planning by automation and localized insights. 

MathCo All the time-on Market Media Combine (MMM) Planning 

A number one CPG producer wanted real-time, actionable advertising and marketing insights to optimize spend throughout channels. MathCo delivered an All the time-On MMM answer powered by NucliOS and Databricks Knowledge Intelligence Platform, integrating granular information, automating month-to-month mannequin refreshes, and leveraging AI and GenAI for explainable insights. The answer drove 70% discount in information prep effort, 90% improved insights adoption, a ~1.3% income improve, and reduce evaluation time from three months to beneath two weeks. By enabling steady, data-driven finances optimization, MathCo empowered the consumer to remain forward of market shifts and maximize advertising and marketing ROI.

Learn this article for the way MathCo’s automated, always-on Advertising Combine Modeling answer on Databricks drives real-time, data-driven retail development. 

MathCo Buyer 360 Insights Activation 

MathCo helped a number one international vogue retailer remodel fragmented buyer information into a strong Buyer 360 platform, constructed on Databricks Knowledge Intelligence Platform. By unifying omnichannel information and making use of superior identification decision, the answer created a single, trusted view of each buyer. This drove 30% fewer duplicate data, a 95% drop in information high quality points, and 15% larger marketing campaign conversions. Retail groups gained actionable insights for personalization, loyalty, and focused advertising and marketing, turning buyer information right into a strategic asset. The platform demonstrates how contextual intelligence, analytics, and scalable structure can ship measurable enterprise impression in immediately’s aggressive retail panorama.

Learn this article to find out how MathCo’s Retail Buyer 360 Insights Activation answer drives personalised retail engagement.

Tiger Analytics All the time ON Model Fairness 

All the time ON Model Fairness is a steady, close to real-time model intelligence platform that screens, protects, and grows model worth 24/7 throughout each digital touchpoint. It delivers instantaneous notion monitoring, sentiment evaluation, and predictive fairness modeling, changing gradual quarterly trackers with proactive guardianship. By uniting social listening, search developments, and gross sales alerts into one supply of reality, it eliminates blind spots, accelerates disaster response, and captures cultural alternatives 10X sooner. Organizations achieve early-warning alerts, exact ROI measurement, and a stay fairness rating, enabling disaster avoidance, finances effectivity, sustainable premium pricing, and assured government reporting whereas turning passive administration into relentless model development.

Learn this weblog to study what “All the time-On Model Fairness” actually means and the way manufacturers can keep future-ready in an period the place consideration is fleeting and digital presence is every little thing.

Tiger Analytics Retail AI Companion  

The Retail AI Companion is an clever GenAI digital co-pilot for frontline staff, addressing fragmented instruments and sophisticated SOPs. Appearing as a “sense and reply” layer throughout numerous units, it tailors responses to the consumer’s function. The system drives effectivity by specialised assistants: an Operations Question Assistant for answering SOP-related questions to make sure compliance; a System Assistant for troubleshooting tools; a Product Assistant for real-time stock and pricing checks; and a Merchandising Assistant to research planograms and flag deviations. This built-in method empowers workers with real-time decision-making capabilities whereas considerably lowering the necessity for supervisory escalations.

Learn this weblog to find out how AI can be utilized as a context-aware companion that reduces cognitive load, shortens activity cycles, and brings consistency to buyer interactions

Tredence ATOM for Agentic AI ( Hyper-Personalised Retail)

In direct-to-consumer retail, personalised product suggestions are crucial to driving conversion and long-term loyalty. Whereas Agentic AI permits clever decisioning, a robust information basis is what makes it efficient. Tredence’s unified Oxygen Knowledge Mannequin on Buyer 360 brings collectively looking habits, buy patterns, demographics, and real-time interactions inside a Databricks Lakehouse structure, making certain clear, ruled, and AI-ready information. Constructed on this basis, the AI Orchestrator and brokers leverage Databricks AI/ML and Mannequin Serving to keep up buyer context in actual time. The result’s a shift from generic looking to tailor-made purchasing journeys that improve conversion charges and buyer lifetime worth.

Learn this weblog to find out how a US wellness model is leveraging agentic commerce to win the client’s journey.

Wavicle Knowledge Options EZForecast Accelerator

Wavicle’s EZForecast Accelerator for Databricks is a high-performance demand forecasting answer constructed natively on the Databricks Lakehouse for the retail {industry}. It unifies structured gross sales information with unstructured alerts reminiscent of social media, IoT and exterior market elements eliminating silos and making a trusted basis for superior analytics. Powered by Agent Bricks and Databricks AI/BI capabilities, EZForecast goes past static forecasting to ship interactive agentic experiences. With AI/BI Genie, enterprise customers can use pure language to discover actual time demand shifts, stock danger and forecast drivers. Utilizing superior fashions together with Temporal Fusion Transformers and DeepAR, EZForecast delivers a 7 to 18 % enchancment in forecast accuracy with none subscription prices in comparison with conventional packaged instruments, enabling sooner choices to optimize stock, shield profitability and drive sustainable development.

Learn this weblog to study extra.

Xebia Buyer Suggestions Intelligence Accelerator 

Xebia Buyer Suggestions Intelligence Accelerator transforms fragmented, high-volume buyer suggestions into real-time, decision-ready perception. Utilizing an orchestrated set of AI brokers, it constantly analyzes surveys, critiques, transcripts, and chat logs throughout languages and channels to floor key themes, sentiment shifts, and root causes. As a substitute of guide evaluation and delayed reporting, groups achieve a unified, constantly up to date view of buyer expertise. Insights are delivered by intuitive dashboards and clear summaries that assist sooner prioritization, focused enhancements, and assured follow-through. Totally integrable with present methods, the accelerator shortens the feedback-to-action cycle, strengthens buyer understanding, and permits organizations to reply sooner and extra successfully to altering buyer wants. Learn this weblog to study extra.

zeb Retail Agentic Knowledge Activation

zeb’s Retail Agentic Knowledge Activation accelerator, powered by the Databricks Knowledge Intelligence Platform and Agent Bricks, helps retailers and shopper items corporations standardize vendor and provider information into constant schemas with purpose-built area AI brokers. Utilizing agentic AI for clever content material interpretation and zero-code pipeline era, it accelerates onboarding and ensures information high quality. Constructed with Unity Catalog for governance, the answer delivers as much as 90% sooner onboarding and enhanced information accuracy throughout thousands and thousands of SKUs. 

Learn this weblog to find out how this accelerator transforms numerous vendor and producer feeds right into a unified and dependable product information basis.

zeb AI Sensible Manufacturing facility & Provide Chain Community Optimization 

The AI Sensible Manufacturing facility & Provide Chain Community Optimization accelerator transforms uncooked provide chain information into enterprise prepared intelligence utilizing zeb’s prebuilt canonical mannequin and AI-driven information pipelines. This allows clients to validate, enrich, and course of lane, fee, and geospatial information. Built-in with good manufacturing facility alerts, predictive fashions, and real-time analytics, our answer leverages Serverless SQL, Geospatial AI, and AI/BI Dashboards to ship lane and market insights, backhaul optimization, and intermodal pricing visibility empowering Clients to reduce prices, cut back emissions, and allow autonomous, data-driven provide chain choices.

Learn this weblog to find out how zeb’s AI accelerator optimizes provide chains by reworking fragmented information into actionable insights.

Speed up Trade Outcomes with Companion GenAI Options 

This weblog completes our collection on companions options, following our protection of cross-industry accelerators for Agentic AI, GenAI and LLMOps and AI accelerators for information engineering and migration. These industry-focused options show how generative AI delivers particular enterprise impression by deep area experience.

Get Began with Brickbuilder Accelerators

Discover our full set of accomplice options and accelerators on the Databricks Brickbuilder web page, together with Agentic AI methods, cross-industry GenAI use instances and frameworks, and LLMOps accelerators.

Create a Brickbuilder Accelerator for the Databricks Knowledge Intelligence Platform

Brickbuilders are a key element of the Databricks Companion Program and acknowledge companions who’ve demonstrated a novel skill to supply differentiated information, analytics, and AI options and accelerators together with their growth and deployment experience.

Companions who’re desirous about studying extra about learn how to create a Brickbuilder Answer or Accelerator are inspired to e-mail us at [email protected].