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Robotics & Physical AI2 min read

Percepto unveils Axion AI platform for cross-drone inspection data analysis

Percepto, an autonomous drone inspection provider based in Israel and Texas, launched Axion, a software-first AI platform designed to unify data from third-party drones and sensors. The move follows leadership changes led by Julien Bellanger, who succeeded Dor Abuhasira, shifting the company’s focus from hardware to AI-driven analytics for critical infrastructure like oil and gas, power grids,…

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Key points

  • Percepto’s Axion platform analyzes drone and sensor data from any third-party hardware for infrastructure inspections
  • Over 160 AI models detect issues like downed wires or thermal anomalies with historical validation
  • Operators can query findings via plain-language prompts using an internal LLM

Axion ingests data from multiple sources—drones, fixed sensors, and legacy archives—and applies over 160 AI models to detect issues like downed wires or thermal anomalies. Operators can query findings using plain-language prompts via an LLM, with results validated by historical data and expert insights. The platform operates as software-as-a-service, avoiding vendor lock-in while leveraging Percepto’s compliance waivers for autonomous drone operations. Manufacturing for its drone fleet will remain onshore in the U.S. under the American Drone Dominance Initiative.

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  1. Percepto unveils Axion AI platform for cross-drone inspection data analysisthis story
Full story from The Robot Report · by Mike OitzmanOpen source ↗

Percepto launches Axion AI platform to unify inspection data analysis

The Robot Report · 30 October 2026

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This text was published by The Robot Report and written by Mike Oitzman. 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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PerceptoAmerican Drone Dominance InitiativeAxionLLMJulien BellangerDor Abuhasira

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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