AI that does real work, not demos.
Most AI projects stall between the prototype and production. We build agents and automations that call your APIs, read your documents and finish the task, then measure them so you know when they are getting better or worse.
What we build
AI agents, retrieval over your own data and workflow automation, with evaluation built in so every change is measured before it ships.
AI agents and assistants
Agents that use tools, call your systems and run a workflow end to end, with a human in the loop where it matters.
Retrieval over your data
Search and question answering grounded in your documents, tickets and knowledge base, with sources shown.
Document and data pipelines
PDFs, spreadsheets and messy inputs turned into structured data your team and your models can rely on.
Evaluation and monitoring
Test sets, automated grading and dashboards, so a model or prompt change is checked before customers see it.
Tools we use
- Python
- TypeScript
- LLM APIs
- Vector search
- Machine learning
How it works
From the first conversation to a product in production.
- 01
Scope
A call to understand the goal, then a written scope with what we will build, who will build it and what it costs.
- 02
Ship
Work happens in short cycles in your repositories. You review working software at the end of each one.
- 03
Support
After launch we keep improving it with you, or hand over with documentation your team can run with.
Frequently asked
Something else on your mind? Send us a message and we will get back to you.
AI agents and assistants, retrieval over company data, document processing pipelines and workflow automation. We also add AI features to products that already exist.
From Fuzzy Ideas to Sharp Solutions
Tell us what you are building. We will come back with how we would approach it and who would work on it.