Looq AI Unveils qPole for Smarter Engineering Choices and Dependable Grid Modeling
On February 3, 2026, Cleantech San Diego member and Southern California Power Innovation Community firm Looq AI, a worldwide chief in geophysical reasoning, introduced the launch of qPole. The AI-enabled answer is designed to make the facility grid extra dependable and resilient by coaching AI fashions to know utility poles the identical method skilled engineers do, based mostly on bodily construction, geometry, supplies, and real-world context.
The U.S. energy grid consists of an estimated 180–200 million distribution poles—some growing old, some in areas the place excessive climate circumstances exist. Utilities face rising strain to adjust to state mandates for wildfire danger discount and storm hardening. Correct pole knowledge has turn out to be a essential basis for grid reliability. But it’s nonetheless largely collected and processed utilizing a gradual, guide, and inconsistent workflow. Presently, hundreds of utility contract corporations work across the clock to finish detailed Pole Load Evaluation (PLA).
Geophysical reasoning is a strategy to perceive bodily objects, comparable to poles, in each 2D and 3D, recognizing their location on the planet and the context of their environment. “We’ve educated the pc to have a look at a set of photos and perceive the pole’s DNA—its top, diameter, materials,” mentioned Dominique Meyer, CEO of Looq AI. “It additionally detects essential elements like crossarms and transformers—simply as an skilled engineer would.” This understanding permits the system to generate an engineering-ready illustration of every pole, reasonably than only a assortment of measurements.
Discipline to Workplace: A Transformative Pole Modeling Workflow
Immediately, capturing pole info is time-intensive and sometimes hazardous. Crews depend on guide fielding, hot-sticking, or image-based seize to gather pole heights and pole attachments, typically navigating troublesome terrain, excessive climate, and native wildlife, together with snakes. Discipline seize alone takes roughly quarter-hour per pole. Looq streamlines this course of, decreasing fieldwork to roughly two minutes per pole by way of a safer, dependable, and repeatable workflow.
“Looq’s AI makes use of this human-like understanding to create a blueprint of a CAD mannequin for every pole,” Meyer mentioned. “It captures the info essential to judge asset well being, identifies present or potential future failures, and clearly communicates the trail to remediation.”
Past the sphere, back-office processing beforehand added one other quarter-hour per pole, as engineers manually validate knowledge earlier than utilizing PLA instruments like SPIDAcalc, O-Calc, or PLS-CADD. The qPole AI-assisted processing is accomplished in about 5 minutes per pole and mechanically detects and fashions every construction and its gear.
By streamlining seize and processing from a complete of half-hour to simply 7 minutes per pole, Looq is remodeling utility workflows. “This common saving of 23 minutes per pole represents unlocking an estimated 19 million work hours saved yearly within the U.S. alone,” mentioned Meyer. “These reclaimed hours permit utilities to reallocate pressing funding towards grid hardening reasonably than guide knowledge entry. In an business dealing with a essential labor scarcity, shifting focus ensures that upkeep backlogs are addressed with no need to extend headcount.”
Discipline measurements are correct to below a centimeter. This accuracy helps derive appropriate development necessities, avoiding overbuilt or pointless initiatives. In lots of instances, poles have been beforehand changed on the ratepayers’ expense when correct measurements would have confirmed adequate structural integrity.
“EPI is worked up to see the subsequent evolution in distribution fielding with Looq AI,” mentioned Erik Kolb, PE, senior engineer at The Engineering Companions, Inc. “Our business is primed for this precise form of know-how. We stay up for integrating our fielding practices with qPole, which is able to permit EPI to in a short time replace its present pole info.”
“Options like this have the potential to considerably enhance how utilities method asset modeling, security, and grid reliability,” mentioned Audra C. Drazga, president and founding father of Summit Path Advisory. “I met Looq in 2025, and it has been thrilling to observe their imaginative and prescient evolve. I’m inspired to see how qPole delivers sensible, real-world worth to the business.”
Share this….