Clinical Q&A assistant for 1,200+ practitioners
RAG system over internal medical guidelines with citation-grade traceability and strict PII redaction.
From LLM integrations to custom agents and MLOps — we design, build and deploy AI systems that work in the real world, not just in demos.
What we do
Six practice areas, one team. We pick the right tool for the problem — not the other way around.
Plug OpenAI, Anthropic, or open-source models into your product with safe prompts, streaming and cost controls.
RAG pipelines, tool-using agents and multi-step workflows that actually finish the job.
Model serving, monitoring, drift detection and rollback — production-grade, not notebook-grade.
Pipelines that turn messy, scattered data into a clean foundation your models can trust.
Detection, segmentation, OCR and video understanding — on-prem or in the cloud.
Roadmaps, vendor selection, ROI modeling and AI governance — so leadership buys in confidently.
How we work
A pragmatic delivery model shaped by 80+ projects — fast feedback, no surprises, working software every two weeks.
2-week deep dive. We map the problem, audit your data and validate feasibility before a single line is written.
Working demo in 4–6 weeks. Real data, real users, measured against success metrics you sign off on.
Production-grade system with CI/CD, observability and rollback. We pair with your team to transfer knowledge.
We stay engaged to monitor, retrain and improve. Most clients work with us for 12+ months after launch.
Selected work
A few examples of what we've shipped. Names anonymized by client request.
RAG system over internal medical guidelines with citation-grade traceability and strict PII redaction.
Real-time detection on edge devices replacing manual barcode scans across 18 distribution centers.
Tool-using agent integrated with CRM, returns and shipping APIs to fully resolve tier-1 tickets.
FAQ
30-minute discovery call. We'll review your problem, share what worked in similar projects and suggest a pragmatic next step.