Persona
Ravi, Plant Head — auto components
Story 01
“As a plant head, I want to know which CNC spindle will fail this week so I can schedule maintenance during a planned changeover — instead of losing a full shift to a surprise breakdown.”
All industries
Industry practice
Manufacturing & Supply Chain
Autonomous factories. Predictive supply networks.
We help discrete and process manufacturers modernise operations with computer vision, predictive maintenance and AI-driven planning — from the shop floor to the tier-N supplier.
-38%
Unplanned downtime
+22%
OEE uplift
12wks
Time to first value
/ Use cases
Where we've done the work.
Not a catalogue — a sample of the problems we actively engineer solutions for today.
Use case 01
Predictive Maintenance
Time-series models on vibration, thermal and current signals detect anomalies days before failure, cutting unplanned downtime and MRO costs.
Use case 02
Vision QC on the Line
Edge-deployed CNNs inspect surface defects, weld quality and packaging integrity at line-speed with >99% accuracy.
Use case 03
Demand & S&OP Copilot
LLM copilots reconcile ERP, POS and market signals into probabilistic demand plans and what-if scenarios for planners.
Use case 04
Digital Thread & Traceability
Unified data fabric linking BOM, MES and QMS — instantly trace any defect back to raw batch and supplier.
/ User stories
The people we build for.
Every engagement starts with a real person, a real problem, and a job to be done. Here are three from this practice.
Persona
Meera, Supply Chain Director
Story 02
“As an SC director, I want a live risk view across my tier-2 suppliers so I can pre-position inventory before a monsoon disruption hits.”
Persona
Anil, Quality Lead
Story 03
“As a QC lead, I want vision AI to catch micro-scratches my line inspectors miss, so warranty claims from OEMs drop this quarter.”