An applied AI lab for domain-specific models and agents.
We help teams turn proprietary knowledge into domain models, agent workflows, and production AI systems that work inside the business.
From domain knowledge to production AI.
We turn messy internal data and workflows into reliable AI systems through a tight build loop: scope, model, integrate, operate.
Where we help.
Our work concentrates on places where generic AI breaks down: specialized knowledge, multi-step workflows, and efficient deployment.
Domain intelligence
Turn proprietary documents, workflows, and expert judgment into models and systems that understand how your organization actually operates.
Agentic workflows
Design agents that use tools, follow constraints, and complete multi-step work with the context and judgment your domain requires.
Efficient deployment
Make AI systems fast, cost-aware, and reliable enough for production through model selection, fine-tuning, evaluation, and inference optimization.
Work with us on applied AI.
We take a small number of engagements per quarter, working directly with your team to design, build, and deploy AI systems that know your domain.
Domain SLM training
We train small language models on your proprietary data — extracting tacit domain knowledge and embedding it directly into model weights.
- Continuous pre-training from open-weight base models
- Proprietary data pipeline & curation
- Models optimized for your task, faster and cheaper than generic APIs
Agentic AI integration
Deploy domain-specialized SLMs as the cognitive core of autonomous agents that can actually do complex, end-to-end work.
- Replace brittle RAG pipelines with models that internalize context
- Autonomous agent orchestration and tool use
- Continuous model evolution as your workflows evolve
Building something that needs to know your domain deeply? Let's talk.
Engagements, partnerships, or pilots — we read every message.