From idea to production agentic AI —
with experts in the loop.
We take AI from a use case to a system your team can rely on: discovery, a focused pilot, a production build on your infrastructure, and the ongoing operations to keep it performing.
Systems that do the work, not demos.
Custom AI agents
Goal-directed agents that plan, retrieve, and act across your systems — with guardrails and human checkpoints.
LLM-powered internal tools
Internal copilots and apps that put retrieval and generation behind your own access controls.
Document intelligence pipelines
Extraction, classification, and summarization over document-heavy processes, with sources attached.
Decision-support systems
Systems that surface evidence and recommended actions for a person to decide on — never a black box.
AI copilots for regulated workflows
Assistants scoped to regulated work, where every statement traces back to a source and an expert signs off.
Assess. Pilot. Build & deploy. Run.
A staged model so you prove value before you commit to a full build — and so the system is monitored and supported after it ships.
- Step 01
Assess
We agree the scope, the question you need answered, and the review cycles included, in writing.
- Step 02
Pilot
A focused pilot proves the workflow on your data before any broader build or commitment.
- Step 03
Build & Deploy
We build the production system on your infrastructure, with evaluation and monitoring baked in.
- Step 04
Run & Support
We operate, monitor, and improve it — model updates, performance tracking, and expert review on call.
Governed by design.
Platform-agnostic
- Built across AWS, Azure, and GCP
- Deployed in your cloud or on premise by arrangement
- Configured to your enterprise and GxP controls
Retrieval + human review
- Answers grounded in sources you approve
- Deterministic checks kept separate from AI reasoning
- Expert review loops before output is trusted
Evaluation & monitoring
- Evaluation baked in from the pilot onward
- Performance tracking and model updates in production
- Audit logging and access controls throughout
Common questions.
Do you build on our cloud?
Yes. We are platform-agnostic across AWS, Azure, and GCP and can deploy in your cloud or on premise. Architecture and data handling are configured to your enterprise and GxP controls.
How do you handle our data?
Your documents stay yours. Data handling is configured to your controls, retrieval is scoped to the sources you approve, and deterministic checks are kept separate from AI-assisted reasoning.
Who owns the IP?
Ownership terms are agreed in writing as part of scoping.
What is the timeline to a working pilot?
A focused pilot typically proves a single workflow before any broader build. Exact timing is confirmed on the scoping call.
Scope a use case with us.
Tell us what you are working on. We will tell you what a scoped engagement would cover and how it would be priced.