Start with one useful task
AI should save time or help someone make a better decision. We begin with a real task, such as finding information, reading documents, drafting a reply, or sorting support requests.
AI that fits
the way your product works.
We add useful AI features to existing products and workflows, with the right access, checks, and human control.
Grounded
Answers tied to your data
Evals
Quality measured over time
Guardrails
Risk matched to the action
Visible
Cost, latency, and failures
Build it into the existing product
We connect the model to approved data and tools while keeping the product's current permissions. Important actions can require human approval, and every result can be reviewed or traced.
- OpenAI
- Anthropic
- Python
- TypeScript
- pgvector
- Pinecone
- LangGraph
- Model gateways
Test it with real examples
Before launch, we compare the output against examples from your team. We track quality, speed, cost, and failures so model changes do not quietly make the feature worse.
Selected work
AI and data work in practice
Next steps
Choose the right type of AI work
Have a clear task AI might improve?
Bring the current workflow and a few real examples. We'll help decide whether AI is the right fit.