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Percepto launches Axion, AI that reads inspection data from any drone
Percepto, the drone-in-a-box maker, is selling its inspection AI as software that works with other companies' drones and sensors.
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Percepto, a maker of self-flying inspection drones, launched Axion, a subscription software platform that analyzes inspection data from other companies' drones and sensors.
It uses more than 160 AI models trained on over 100,000 hours of inspection data. Percepto says power, oil and gas operators can start with data they already have. The company has not published pricing or a list of supported drones.
What to know
- Percepto launched Axion on October 27, 2026, a software service that analyzes inspection data from drones and sensors made by other companies.
- Axion uses more than 160 AI models trained on more than 100,000 hours of autonomous inspection data.
- Julien Bellanger is now CEO, and Percepto calls the move a shift to a software-first strategy.
- Percepto still sells its Ranger drones and Harbor stations, and is moving engineering and manufacturing to the United States.
Percepto announced on October 27 that it has launched Axion, a software platform that reads inspection data from drones and sensors made by other companies. The news is that a drone maker is now selling its brain without the drone.
So why would a company built around self-flying drones do that? The answer says a lot about where inspection work is heading.
What exactly is Axion?
Axion is a subscription service. The industry calls that software as a service, or SaaS: you log in and use it, and you do not buy a box.
It takes in pictures and readings from supported third-party drones, fixed and mobile sensors, and old inspection archives. Then it sorts everything by asset, such as a tower, a pole or a tank. Percepto calls it a "hardware-agnostic" platform, which just means it does not care who made the device that collected the data.
Percepto says Axion runs more than 160 AI models. They were trained on more than 100,000 hours of autonomous inspection data collected over more than a decade.
What does the AI actually look for?
The AI judges equipment in context, not just in a single photo. Percepto gives two examples:
- A downed wire: Axion spots it by where the wire sits compared with the parts around it.
- A thermal anomaly: a hot spot on a thermal image (a picture that shows heat) is checked against how that asset normally behaves and what the weather is doing.
Percepto says each finding comes with its inspection history and expert validation, so a team can see why something was flagged. DroneXL adds that the models work on regular photos, thermal data, gas-imaging video and stitched maps of a site.
In real life A hot spot on a power line can be harmless on a sunny afternoon and a real problem on a cool morning. Axion is meant to know the difference, so a crew only gets sent when it matters.
Can you just ask it questions?
Yes. Axion has a plain-language assistant, a chat box where a worker types a question and gets an answer drawn from the platform's data.
The Robot Report says Percepto uses a large language model for this. That is the same kind of AI that powers chatbots. Percepto's examples are questions like what the last inspection found on a structure, or what else is open at a site.
DroneXL describes a demo where a utility worker about to send a lineman to a pole asks what else is wrong with it. Axion answers that it found a worn crossarm on June 3 and that a crew trimmed a nearby tree two months ago.
Why sell software on its own?
Percepto's new CEO, Julien Bellanger, wrote that the hard part has moved. Collecting data used to be the problem. Now most operators already fly drones, run sensors and hire inspection contractors.
He says the bottleneck is review: someone has to look through thousands of images, match them to the right asset and decide what needs a crew. With fewer experienced reviewers, he argues, that problem grows every year.
The big picture: until now, Percepto's growth depended on how many of its own drones and stations it could put in the field. Selling Axion to anyone with inspection data removes that limit. Bellanger says each new data source also gives the models more of the real world to learn from.
Percepto has done something similar before. DroneXL notes that its older AIM software accepted footage from DJI drones and fixed cameras back in 2021. This time, the software is the main product.
What happens to the drones?
They stay. Percepto says it will keep selling and supporting its Ranger drones and Harbor stations. A Harbor is a docking station where a drone sits, charges and takes off by itself, often called a drone-in-a-box.
The plan is to let operators start with the data they already have, then add Percepto hardware and managed remote operations where they need more frequent coverage. The hardware, in Bellanger's words, is "one of several ways into the platform."
Percepto is also consolidating engineering, manufacturing and assembly in the United States. It ties that move to what it calls "American Drone Dominance," a phrase from the US administration's drone push, DroneXL reports.
Who is running the company now?
Julien Bellanger has taken over as CEO. He is joined by a new chief revenue officer, Kurt Nantkes, and a new chief marketing officer, Amir Khoshniyati.
CTech reports that co-founder Dor Abuhasira, the previous CEO, is leaving after 12 years, and that co-founder Ariel Avitan left earlier. Percepto was founded in 2014, and CTech says it raised a $67 million round in June 2023.
Bellanger's own post thanks the founders for building the company. He says he joined to lead its next stage.
The catch: Percepto has not published pricing, and it has not said which third-party drones Axion supports. Axion is also brand new, so how well it works on other companies' data is still unproven.
Who is using it?
Percepto says the target is operators of power grids, oil and gas facilities and industrial sites. World Oil, which covers the energy industry, reports the same list.
Percepto also announced a multi-year contract with a leading US energy company to inspect its transmission lines. The deal covers aerial data collection and AI inspection analytics across the network. The company did not name the customer or share the value.
Its flights run under a nationwide FAA waiver for flying beyond visual line of sight, often shortened to BVLOS. That means the drone can fly farther than a pilot can see it, which is what makes remote inspection practical.
What is Percepto's track record?
Percepto was founded in 2014 in Israel and now has its US base in Austin, Texas. It builds drones that fly inspection missions on their own, with no pilot on site.
DroneXL notes that Florida Power & Light signed up for its drone-in-a-box systems in 2022. Percepto also partnered with Boston Dynamics in 2020 to bring inspection data from the Spot robot dog into its AIM software.
Its website lists the Ranger drone with a 61-megapixel camera and a heat-sensing camera. It says the Harbor station is tested for Category 5 hurricane winds, DroneXL reports.
Percepto's previous launch came on June 22, when it paired its AI with new Percepto Air drones. Axion is a new software-as-a-service offering, and the company calls it the foundation of its software-first plan.
What it means for you
- You will not buy this: Axion is for companies that run infrastructure, not for homes.
- Fewer surprises: the goal is to catch worn parts before they fail, which could mean fewer outages and repairs.
- Drones are becoming a software story: the value is moving from the aircraft to what the AI does with the pictures.
- Ask for the details: pricing and the list of supported drones are not public yet.
The bottom line
Percepto is betting that the money in inspection is in understanding the data, not just flying the drone. Axion lets any operator with photos and sensor readings try its AI without switching hardware. The real test will be how well it handles data from drones it did not build.
Key facts
- Launched
- October 27, 2026
- AI models
- More than 160
- Training data
- More than 100,000 hours of inspection data
- Sold as
- Software as a service (subscription)
- New CEO
- Julien Bellanger
Got questions?
Quick answers, plain wordsWhat is Axion?
Axion is a software platform from Percepto. It collects inspection data, such as drone photos and sensor readings, sorts it by asset and uses AI to flag equipment that needs attention.
Who makes Axion?
Percepto, a company founded in 2014 that builds autonomous drones for inspecting industrial sites. It is based in Modi'in, Israel, with its US headquarters in Austin, Texas.
Do you need a Percepto drone to use Axion?
No. Percepto says Axion takes data from supported third-party drone platforms, fixed and mobile sensors and old inspection archives. It has not published which drones are supported.
What does hardware-agnostic mean?
It means the software does not care which company made the device that collected the data. You are not locked into one maker's drones or sensors.
How many AI models does Axion use?
More than 160, according to Percepto. They were trained on more than 100,000 hours of autonomous inspection data gathered over more than a decade.
How much does Axion cost?
Percepto has not published pricing. It is sold as software as a service, which means a subscription instead of a one-time purchase.
What is physical AI?
Percepto uses the term for AI that learns from what cameras, drones and sensors see on real equipment, then turns that into a picture of how that equipment is doing.
Is Percepto still selling drones?
Yes. The company says it will keep selling and supporting its Ranger drones and Harbor drone stations, and it plans to build them in the United States.
Who is the new CEO of Percepto?
Julien Bellanger. CTech reports that co-founder Dor Abuhasira is leaving after 12 years, and that Bellanger brings experience selling technology to large enterprises.
Who can use Axion?
Percepto names operators of power grids, oil and gas facilities and industrial sites. A multi-year contract with a US energy company, which Percepto did not name, covers its transmission lines.
SourcesPercepto
Topics and tagspercepto, drones, inspection, physical ai
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