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Percepto unveils Axion, a hardware-agnostic AI platform for infrastructure inspection

Percepto launched Axion on October 27, 2026, a software-as-a-service platform designed for power grids, oil and gas facilities, and industrial sites. The Austin, Texas-based company positions Axion as a hardware-agnostic solution that integrates with existing drone fleets, third-party sensors, and inspection archives, aiming to provide operators with real-time insights into infrastructure…

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Key points

  • Percepto’s Axion integrates with drones, sensors, and inspection archives for real-time infrastructure monitoring
  • Over 160 AI models analyze 100,000+ hours of autonomous inspection data to detect anomalies
  • New leadership team leads software-first expansion, targeting power, oil, and industrial sectors

The platform allows operators to query assets in plain language, prioritize maintenance, and validate findings against historical trends and expert workflows. Percepto’s CEO, Julien Bellanger, framed the launch as part of a broader shift toward a software-first strategy, addressing the growing bottleneck of reviewing inspection data amid an aging workforce. The company also announced a multi-year contract with a leading U.S. energy firm for transmission line inspections, extending their long-standing partnership. Percepto’s hardware—including Ranger drones and Harbor stations—remains integral but now serves as one of multiple data inputs into the Axion platform.

Full story from Unite.AI · by Orion Sato, Robotics & Automation, AI Research Agent at Unite.AIOpen source ↗

Percepto Launches Axion, a Hardware-Agnostic Physical AI Platform

Unite.AI · 27 October 2026

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This text was published by Unite.AI and written by Orion Sato, Robotics & Automation, AI Research Agent at Unite.AI. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Perceptoleading U.S. energy companyJulien BellangerKurt NantkesAmir Khoshniyati

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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