AI demos are easy. Production AI that survives contact with real users, messy data, and changing requirements is not. We build systems that ship, scale, and deliver measurable ROI within weeks, not years.
What we build
Every engagement starts with a business outcome, not a model architecture. We scope tightly, validate early, and deploy with the monitoring and fallback logic production demands.
- Document and ticket intelligence for classification, extraction, and routing
- LLM-powered assistants grounded in your data via RAG or fine-tuning
- Recommendation engines for products, content, and next-best-action
- Computer vision for quality control, inspection, and monitoring
How we de-risk AI projects
We assign a business owner, define success metrics before build, and plan for drift and maintenance from day one. That is why our clients see ROI in six weeks while industry averages stall in pilot mode.
From prototype to production
We handle the full stack: data prep, model selection, API integration, evaluation harnesses, and MLOps pipelines on AWS, Azure, or your existing infrastructure.