// Industry
Manufacturing AI development
AI for manufacturing — quality, forecasting, and process automation built on your operational and sensor data.
// The problem
Why this is hard
Manufacturing AI has to work with the messy reality of the floor: sensor streams, legacy machines, and systems that predate the cloud. A model that's clever in isolation but can't ingest your telemetry or integrate with the MES doesn't improve a single yield number. The value is in grounding on real operational data, integrating with what runs, and staying reliable under continuous load.
// What matters here
The capabilities that move the needle
MLOps & Infra
Durable pipelines for sensor/telemetry streams, with observability and cost control for models that run continuously.
AI Agents & Automation
Process and maintenance workflows automated with guardrails, so an anomaly triggers the right action, not an unattended guess.
RAG & Knowledge Systems
Answers grounded in your maintenance manuals, SOPs, and machine history, with citations for the floor and the office.
LLM Integration & Evals
Quality reports, documents, and inspection notes analysed behind an eval suite, integrated with your systems.
// Proof
Shipped in production
Manufacturing — Predictive maintenance
unplanned downtime
vs. the reactive baseline
median early warning
before failure, on backtest
// FAQ
Common questions
// Related
Logistics
AI for logistics and supply chain — forecasting, automation, and optimization grounded in your operational data.
Insurance
AI for insurance — claims, underwriting, and document automation that are accurate, explainable, and auditable.
// Let's build
Building AI for manufacturing?
Tell us where you are. We reply within a day with a concrete next step.