AI that does a real job,
with a bill you can predict.
AI features and agents
We add LLM features to your product and build agents for your team: chat over your documents, extraction, triage, drafting and tool-using agents. Each one ships with tests, cost limits and a way to tell when it's wrong.
What we build.
- Chat and search over your documents, policies or product data (RAG)
- Pulling structured data out of PDFs, invoices, emails and forms
- Triage and routing for leads, tickets and inbound messages
- Drafting replies, summaries and reports for a human to approve
- Agents that call your own APIs and tools, with guardrails and logs
- Adding AI to an existing app without rewriting it
How we keep it reliable.
Evals before launch.
A test set of real examples, so "it seems fine" becomes a score.
Cost caps.
Model choice, caching and limits so a busy day doesn't surprise you.
Human in the loop where it matters.
The AI drafts, a person approves.
Your data stays yours.
Keys on your accounts, no training on your data, logs you can see.
Model-agnostic.
OpenAI, Anthropic or open models, whichever fits the job and budget.
Includes
- Scoping call
- Prototype in week 1
- Evals
- Production deploy
- Handover doc
- 2 weeks of fixes
Frequently asked questions.
Message us on WhatsApp or use the contact form. No bots, no sales script.
Whichever fits the job and budget: OpenAI, Anthropic or open-source models. Keys sit on your account, so you see every cost.
We test it against real examples before launch, ground answers in your data, show sources, and keep a person in the loop for anything that matters.
We use providers' business APIs that don't train on your data, store only what's needed, and keep access on your accounts. We'll sign an NDA if you need one.