Recurring challenges
- Unplanned downtime and low asset predictability.
- Quality variation with delayed line-level response.
- Production planning disconnected from real operating signals.
Sector focus | Industry
AI for production stability and quality at scale
We build AI solutions that connect maintenance, quality, and planning to improve throughput, consistency, and operational control.
Priority use cases
- AI Agents for operators with contextual setup and troubleshooting guidance.
- Technical RAG with LLMs over manuals, incidents, and maintenance knowledge.
- SLMs for textual anomaly detection across production and quality logs.
How we execute
- Map decision chains from plant floor to leadership.
- Integrate models and alerts into operating routines.
- Scale progressively with explicit performance targets.
Expected gains
- Lower losses and unplanned stoppages.
- Higher quality consistency and productivity.
- More accurate planning from real operational data.
Scale industrial performance with AI
Start with an impact-oriented diagnosis to prioritize use cases with business return and operational feasibility.
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