Allus AI

Allus AI builds vision foundation models for manufacturing. Its core model, AllusONE, is built for industrial scenes: it sees people, parts, tools and equipment in images and video and reasons over them using a plant's own terminology. AllusFlow turns video into process steps and timing, and AllusEdge packages the models to run on hardware already on site, next to cameras and machines. The product is for manufacturers working on safety, quality, delivery and cost on the shop floor, with solutions covering tasks such as onboarding, defect reduction and incident prevention. It works from recorded video and existing cameras, so new hardware is usually not required. Deployment options are edge, on premises, private cloud in the customer's own tenant, or hybrid with local execution and central control, and customer data is never used to train shared models. Outputs are structured, source linked evidence for authorized people to review, not automatic actions, and approved procedures and certified systems remain the authority. One foundation model powers every solution, configured per site instead of rebuilt. The company holds SOC 2 Type II, is an A3 member, and is backed by Y Combinator and the NVIDIA Inception program. Pricing is not published. Buyers request a demo or start a pilot, and a scoped evaluation typically runs over a few weeks: define the boundary, build a reviewed evidence set, configure, and review. Although it is filed among coding tools, Allus is an industrial computer vision product for operations teams, not a developer tool.