A robot on a factory floor or a drone on a pipeline inspection is a data center on wheels, but the team managing it is often flying blind. RideScan, a 2024-founded startup out of Edinburgh, is betting that the budget owner for a fleet of autonomous systems will pay for a single pane of glass that tells them what’s about to break.
The bet on AI assurance
RideScan calls its product an all-in-one robotics data platform, but the more evocative pitch is a ‘Fitbit for robots’ [F6S]. The platform integrates with a wide array of systems, industrial arms, mobile platforms, drones, quadrupeds, and humanoids, to pull in operational data [ridescan.ai]. Its AI algorithms look for irregular patterns, predict maintenance needs, and assign a daily risk score to each task [ridescan.ai]. The company’s focus is on AI assurance and system-level uncertainty analysis [ukii.uk].
Early traction and academic roots
Founder Shivoh Nandakumar, a former robotics researcher at The National Robotarium, incorporated RideScan in August 2024 [Crunchbase] [company-information.service.gov.uk]. The company was part of the Venture Builder Incubator cohort at the University of Edinburgh’s Bayes Centre [bayes-centre.ed.ac.uk]. Its disclosed funding to date is a $75,000 pre-seed round led by Humanoid Global Holdings Corp., closed in September 2025 [Humanoid Global blog, 2026] [Nasdaq, 2025]. Public records estimate the team has grown to around nine people [Endole, 2026].
The competitive landscape and the path to paychecks
RideScan’s most direct competition is in-house solutions and the diagnostic tools bundled by robot OEMs. RideScan’s angle is neutrality and cross-fleet visibility. The ideal customer profile is a mid-to-large enterprise that operates a mixed fleet of autonomous systems. RideScan’s next twelve months will be about moving from a promising research spin-out to a commercial entity with referenceable logos. The $75,000 in pre-seed capital is runway to build the product and secure pilot engagements [Humanoid Global blog, 2026].