Case Study – Industrial AI for Custom Context & Custom Agents (Squint)

Generic models can’t understand how your operation actually works — the equipment, the people, the standards, the shortcuts nobody wrote down. Squint takes a different approach: a proprietary industrial AI model that builds a living knowledge graph for every customer, turning tribal knowledge, standards of work, and IT systems into context an agent can actually act on.

In this session, Devin Bhushan, founder and CEO of Squint, breaks down how that context layer powers agentic workflows that reach operators and technicians in the flow of work. Using Continental Tire as a case study, he’ll show how a single automated workflow — triggered by a scrap code in the MES — cut scrap by giving upstream teams the right fix, instantly.