Four ways in, one way of working.
Strategy, assistants, automation and the interfaces that make them worth opening.
Built on the best models, designed to be trusted.
Support and service copilots
Assistants your customers and teams actually trust — answering in your voice, citing their sources, and escalating the moment they should.
Agents that clear the busywork
We wire models into your tools and let them do the repetitive work — triage, data entry, follow-ups — with a human on every handoff.
AI-native product design
Products people trust with real work: legible confidence, graceful failure, and no chat box by default.
AI audit and roadmap
Two weeks from "we should use AI" to a costed, sequenced plan — which workflow, which model, what it costs to run.
Assistants that earn their place.
We start from the job to be done, not the model. That means the workflow first, the interface second, and the model last — chosen on cost and fit.
- Grounded in your own sources
- Escalates to a human on low confidence
- Runs on the APIs you already pay for
Agents that clear the busywork.
Triage, data entry, follow-ups — the work nobody defends in a planning meeting. We wire models into the tools you already run.
- A person on every handoff
- Full audit trail on every action
- Runs inside your own systems
How an engagement runs.
An audit runs two weeks and ends with a costed plan. A first pilot is usually live six weeks after that.
Yes, all of it: the product, the prompts, the evaluation sets and the data. We build on APIs you already hold the contracts for.
Whichever fits the job. We benchmark candidates against your own tasks and pick on quality, latency and cost to run.
Have a workflow in mind?
Two weeks from question to costed plan. Tell us the job to be done and we will tell you whether a model is the right tool for it.