01
Agentic workflows
Systems that take action across your tools rather than answer questions about them — with guardrails, retries, and a human in the loop where the decision warrants one.
What we build
Four capabilities
02
AI-first platforms
Products designed around the model from the first sketch: data model, interface and evaluation loop built together instead of a feature bolted onto an existing app.
03
Forward deployed engineers
Our engineers work inside your team — your codebase, your standups, your users. Shorter feedback loops, and decisions made in the room rather than in a status report.
04
AI integrations
Into the ERP, CRM and internal tools you already run — including the unglamorous parts: authentication, data access, permissions and audit trails.
Five ways to start
Most clients begin with one of the first two and continue into the others.
01
Discovery sprint
Find where AI actually pays in your operation, what it costs to build, and what should come first.
02
Proof of concept
One workflow, end to end, on your own data — built so the result supports a real go or no-go decision.
03
Build and ship
An AI-first product taken to production, with the operational work done properly: evaluation, monitoring, permissions, rollout.
04
Embedded team
Forward deployed engineers inside your team, building alongside your people rather than in parallel to them.
05
Managed AI systems
We keep what we built running — monitoring, evaluations, model changes and support — so it does not decay after launch.
Bring the workflow you want to automate.
We will tell you whether it is worth building, and what it would take.