What we do

Production AI, four ways in.

Every engagement ends with working software running in your environment - not a slide deck. Most clients arrive with one of these in mind and discover the others over time.

Private AI workspaces

A multi-model AI workspace for your whole company, running in your cloud. Chat, documents, and internal knowledge behind your own auth - no data leaving your tenant.

What you get

  • Self-hosted, multi-model gateway
  • SSO + role-based access
  • Company knowledge retrieval
  • Usage & cost governance

Agents in your operations

Agents that do real work inside the tools your team already uses - drafting, triaging, summarising and routing - with humans in the loop where it matters.

What you get

  • Workflow agents in your stack
  • Tool + API integrations
  • Human-in-the-loop controls
  • Evals & monitoring

AI inside your product

Search, vision and generation features shipped to your users at scale - designed, built and hardened for production traffic, not demos.

What you get

  • Semantic & hybrid search
  • Vision & content pipelines
  • Latency + cost tuning
  • Shipped behind feature flags

Strategy & enablement

Audits, workshops and prototype sprints that point leadership at the right bets - and leave your team able to carry them forward.

What you get

  • Opportunity & risk audit
  • Hands-on team workshops
  • 2-week prototype sprints
  • A costed, staged roadmap

How engagements run

From first call to running system.

Step 01

Discovery

A short paid discovery to map the problem, data and constraints.

Step 02

Prototype

A working prototype in your environment within weeks, not quarters.

Step 03

Production

Harden, secure and scale it to real traffic with evals and monitoring.

Step 04

Handover

Documentation and pairing so your team owns and runs it without us.

Start with thirty minutes.

Tell us what your business needs from AI. We'll show you something running, and be straight about whether we're the right fit.