Deep in one vertical.
Built to transfer.
Production AI fails in generic hands. We go deep in manufacturing first — the hardest, highest-stakes environment — then transfer the proven playbook vertical by vertical. Pharma & medtech manufacturing is the first transfer.
Manufacturing
Automotive and aerospace: fragmented OT/IT data and downtime costs that justify AI on their own.
Beachhead market: APAC · India discrete manufacturing.
- CNC programming & machining intelligence (live pilot)
- Predictive maintenance across CNC and auxiliary machines
- Vision-based quality control closing the loop to maintenance
- Production intelligence: new KPIs across fused data
Pharma & Medtech
GMP manufacturing for export-ambitious drug and device makers: the same fragmented OT/IT data, under far stricter regulatory scrutiny.
Focus: India · EU-GMP regulated-export segment.
- OEE & predictive maintenance — protects freshly-invested line capex (recommended entry pilot)
- Batch-record review by exception, on a sovereign on-prem reasoning layer
- Vision QC on fill & pack lines — the same vision stack as manufacturing
- GxP data-integrity fabric across quality, equipment & production data
The same data-first framework transfers beyond manufacturing to high-tech & electronics, energy & asset-heavy operations, and ultimately any data-rich operation. Each vertical opens only after a quantified case study in the one before it — proof, not a pitch.
The same method, drawn for GxP.
Four buyer-mapped use cases on one governed, validated data fabric — audit-ready by design, and never leaving your walls.
OEE is the recommended entry pilot — highest visible ROI, protecting freshly-invested line capex. Batch-record review by exception follows as the sovereign-AI, audit-defensibility showcase.
Operating in one of these industries?
The Readiness Sprint tells you in 14 days where AI pays back in your operation — whichever vertical you're in.