AI Integration.
Support agents that resolve 70% of tickets. Document processors that turn invoices into structured data in 90 seconds instead of 15 minutes. Intelligent search across scattered internal docs. We build AI features on Claude, OpenAI, and LangChain — with proper guardrails, cost controls, and evaluation baked in. No science projects.
Practical AI features. No experiments. No demos. Just things that save your team time.
RAG that cites its sources
Vector search done properly — tuned chunking strategies, embedding models matched to your domain, retrieval that beats naive similarity. Answers come back with citations to the source document, not just confident prose the model made up.
Agents with real guardrails
Tool-use with escalation paths, observability into every call, hard limits on what the agent can do without a human in the loop. Built to fail safely when it hits something it doesn't know — not to hallucinate its way through.
Evaluation baked in from day one
LLM evals and regression testing before anything ships. Every prompt change runs against a golden dataset. Every model upgrade gets tested against the same suite — so the upgrade that looked great in benchmarks doesn't silently break your product.
Cost-aware by design
Model routing (cheap model for easy questions, expensive for hard ones), prompt caching, token-budget alerts, and a dashboard that shows you what the AI actually costs per user. You'll never be surprised by your Anthropic bill.
What we reach for.
Let's build
something
together.
Have an idea? Need a development partner? Tell us what you're working on and we'll get back to you within 24 hours with an honest assessment — no sales pitch, no obligation.