FieldAI Risk Engine for OEMs

This points to a software wedge into incumbents, because safety is one of the few parts of robot control that OEMs will buy as a standalone layer instead of rebuilding from scratch. FieldAI already models robot motion, slippage, and uncertainty across sensors on device, which makes its risk engine useful not just for its own robots, but for manufacturers that still gate actions with fixed rules, speed caps, and stop zones that break in messy real world sites.

• FieldAI is already structured like a licensable safety stack. Its product combines robot kinematics, multi sensor inputs, and a Safety and Risk Awareness layer that scores confidence before a robot acts. That is much closer to a reusable control module than a one off services project.
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• Established robot makers often expose safety as configured functions, while still requiring the integrator to do the application level risk assessment. ABB sells SafeMove for supervised safe motion, and Universal Robots documents that each deployment still needs a full risk assessment. That leaves room for a smarter software layer that predicts danger before a hard stop is triggered.
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• The regulatory pull is getting stronger. ISO refreshed its core industrial robot safety standards in 2025, and the EU AI Act treats some AI enabled safety components in regulated products as high risk. That favors vendors that can turn safety from hand tuned heuristics into documented, auditable software behavior.
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The next step is for robot autonomy to split into two layers, task intelligence and certified risk control. If that happens, FieldAI can sell its risk engine across construction, energy, mining, and OEM channels as the safety runtime that sits between a robot's planner and its motors, turning safety from a feature into a software revenue line.