Ohm

Ohm is an agentic AI platform for engineering test labs that develop complex hardware such as wearables, electric vehicles and batteries. It automates and accelerates test programs end to end, covering test data management, analysis, live monitoring, reporting and operations in a collaborative workspace. The company positions it as bringing to hardware development what coding assistants brought to software. The platform is organized in layers. A data foundation ingests, normalizes and visualizes multimodal data such as time series, spreadsheets and documents, using native connectors to test equipment, supplier specifications and manufacturing databases, and it runs automated quality checks for outliers and test errors. An agentic harness wraps general purpose language models, which Ohm selects per task across vision, language and time series, in domain context and tools. Engineering features include physics informed anomaly detection, predictive models that forecast experiment outcomes from early data with confidence bands, process drift identification, root cause analysis, and AI co scientists that complete multistep analyses. Test protocols, material specifications and historical results are layered into each agent action, and security and governance controls are built in. It is aimed at engineering and testing teams at large hardware companies. The vendor publishes no pricing, and the path in is a booked introduction.