AI that runs in production

We build custom computer vision systems that:

• Run inference at production-grade latency (sub-100ms, on-edge if needed)
• Integrate with existing hardware — cameras, PLCs, conveyors, inspection rigs
• Train on your data, your defects, your operating conditions
• Hold up under variable lighting, materials, and edge cases
• Get monitored and retrained as conditions change

We build predictive systems that:

• Frame the prediction around an actual business decision, not an accuracy target
• Engineer features from the data you actually have, not the data you wish you had
• Validate against held-out real-world performance — not just test sets
• Integrate predictions into the workflows that act on them
• Track decision outcomes so the model can improve over time

We build document intelligence that:

• Handles scanned, photographed, multilingual, and mixed-format documents
• Extracts structured data into your operational systems automatically
• Adapts to domain-specific formats and regulatory requirements
• Falls back gracefully when documents are unreadable or ambiguous
• Improves over time as more documents flow through it

We build conversational systems that:

• Map intent to the data and actions that actually exist in your system
• Use smart tagging and structured retrieval, not just generic LLM calls
• Stay grounded in your domain so they don't hallucinate their way into bad recommendations
• Integrate with your operational backend so conversations lead to outcomes
• Handle real user language — not just the queries you'd write yourself