AI engineering for systems your business depends on.
AI agents, knowledge systems and LLM features built into your product and operations, with the evaluation, failover and cost controls that separate a production system from a demo.
What a ai engineering system looks like.
Agent runs with evaluation scores, failover events, cost per run and a human approval queue.
Four ways we put it to work.
AI agents with guardrails
Multi-step agents that research, decide and act across your tools, with budgets per run, approval steps for anything irreversible and a log of every action.RAG & knowledge systems
Answers grounded in your documents, wikis, tickets and databases, with citations, permission filtering and measured retrieval quality.AI inside your product
Drafting, extraction, classification and generation features behind queues, retries and structured-output validation.LLM & API integrations
Claude, OpenAI and Gemini connected to your CRM, helpdesk, warehouse and internal APIs, in your own accounts and with your own keys.Who this is for
- Founders with an AI prototype that needs to become a reliable product feature
- Ops teams searching documents, tickets and wikis by hand every day
- B2B teams who want AI inside the CRM, helpdesk or internal tools, not another chatbot
- Teams that tried an AI tool, got inconsistent answers and lost trust in it
Where the savings come from
- Each step routed to the cheapest model that meets its quality bar
- Caching and batching cut repeat spend
- Cost per run tracked and alerted
- Bring-your-own-key builds replace per-credit tools where cheaper
Questions
Claude, OpenAI and Gemini, plus small and open-weight models where cost or data rules require it. Systems are built so models can be swapped without a rebuild.
No. We use provider settings that exclude training and build in your accounts with your keys.
Your team, with our documentation and runbooks, or us on a monthly Run & Improve arrangement.
Find the workflow worth automating first.
Tell us about one process that costs your team hours every week. We will tell you honestly whether AI or automation is the right fix, and what a first build would take.