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Retrieval-augmented generation
Answers grounded in your documents and data, with citations and access controls.
AI Development
From prototype to production, and kept there.
Custom model fine-tuning, retrieval-augmented generation and full AI applications. We engineer for production from the start, with evaluation, monitoring and the discipline to know when a model drifts.
- ApproachEvaluation-driven
- ModelsOpen and commercial
- DeliveryProduction, not demos
- OwnershipYou own what we build
What we do
Engineering, not experimentation.
Anyone can build an impressive demo. We build systems that hold up under real users, real data and real scrutiny.
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Fine-tuning
Models adapted to your domain, tone and tasks, evaluated against your own benchmarks.
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AI applications
Internal tools and customer-facing products with real authentication, logging and support.
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Evaluation suites
Task-specific tests that measure accuracy, safety and regressions before every release.
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Model selection
Honest comparison of open and commercial models on cost, quality and control.
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Drift monitoring
Production metrics that flag when quality slips, with a plan for when it does.
How it works
Four steps, one accountable team.
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Define success
Agree measurable targets and build the evaluation set first.
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Prototype
A working version on real data, scored against those targets.
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Productionize
Security, scaling, monitoring and the edge cases demos ignore.
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Improve
Ongoing evaluation, retraining and feature work.
What you get
Delivered, documented, operated.
- Evaluation set and success metrics
- Production-ready application or model
- Source code and documentation you own
- Monitoring and drift alerts
- Security review
- Ongoing improvement option
Works with
ClaudeGPTLlamaMistralLangGraphPythonTypeScriptFastAPI
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Start a conversation
See what AI development could do in your operation.
Tell us about the problem. We'll give you an honest assessment of whether AI solves it, what it takes and what it will cost.