Ohm

Ohm is an AI platform built for engineering teams that test complex physical hardware, including wearables, electric vehicles, and batteries. It automates the analysis of lab and test data, running multi-step engineering analyses that would otherwise take an engineer days to complete manually, and returns results such as anomaly flags, predictive modeling with confidence bands, and root-cause investigation. The platform connects to test equipment, supplier specifications, and manufacturing databases through native connectors, and can ingest a mix of time-series data, Excel files, and documents rather than requiring data to be reformatted first. Its anomaly detection is described as physics-informed, meaning it accounts for the underlying behavior of the hardware being tested rather than relying only on generic statistical thresholds. Ohm also builds a knowledge system from past analyses so that findings compound as a team runs more tests over time, and it supports scheduling recurring analyses to run automatically at scale. Ohm is aimed at engineering organizations working on physical products in sectors like automotive, aerospace, batteries, and data centers, and it lists SOC 2 Type II and ISO 27001 certification for handling sensitive engineering data. One limitation is that the site gives no public pricing, so cost and plan structure are unclear without contacting sales directly.