Applied & Agentic AI
Deploy custom LLMs, RAG architectures, and autonomous AI agents trained on your proprietary enterprise data — with the guardrails regulated industries require.
Most enterprise AI pilots never reach production because the hard parts are not the model: data access, evaluation, monitoring, and privacy review. We treat those as first-class engineering work.
We build retrieval pipelines over your own content, agents that operate inside real workflows, and evaluation harnesses that show quality over time — so your security and compliance teams can approve what you ship.
What we deliver
Integration, quality & modeling
Ground models in governed enterprise data with retrieval, chunking, and quality measurement you can inspect.
Autonomous assistants & workflows
Agents that take real actions across systems, with human-in-the-loop checkpoints where risk demands them.
Scalable inference & monitoring
Cost-aware serving, caching, latency budgets, and drift monitoring for production workloads.
Privacy & compliance guardrails
PHI and PII handling, prompt and output filtering, audit logging, and documented model governance.
What you can expect
- AI features that pass security and privacy review the first time.
- Measurable answer quality instead of anecdotal demos.
- Inference cost and latency inside agreed budgets.
- Clear governance documentation for every deployed model.
AI stack
Start with a strategy session
Tell us about your technical challenges. Our experts are ready to help.