AI for manufacturing that ships to the floor

Manufacturing data is messy in a specific way: sensor streams from PLCs, unstructured maintenance logs, supplier emails with PDF RFQs, and tribal knowledge locked in a few senior operators’ heads. The wins come from connecting those islands — a predictive-maintenance model that reads vibration and temperature telemetry to flag a bearing before it seizes, or a RAG agent that answers a line operator’s SOP question in their own language at 2am.

Most manufacturers don’t need a moonshot. They need RFQ triage that parses an inbound quote request, matches it against the BOM and routes it with a suggested price, cutting days off the quoting cycle. They need QA defect logs auto-classified against a known taxonomy so the same root cause stops recurring across shifts. These are bounded, high-ROI problems where a well-scoped agent earns its keep in a quarter.

We integrate at the systems layer that actually matters on the floor — MES, ERP (SAP, Tally), historian databases and OPC-UA tag servers — not just a chatbot bolted on the side. Because we operate our own AI products in production for India and the World, we design for the realities you live with: spotty connectivity, audit trails, and the need to fail safe rather than fail loud.