Engagement 03
Forward-Deployed Engineering
We don't hand you a spec and disappear. Our engineers sit inside your team — in your Slack, your sprints, your codebase — and build alongside you until it ships.
Who this is for
Teams that have identified a real AI use case, have engineering capacity of their own, and want to move at build-speed rather than committee-speed.
Typical engagement
Initial embed in weeks, month-to-month after — scoped around a specific system or workflow, not an open-ended retainer.
Why this exists
Most AI initiatives stall in the handoff between ‘vendor delivers a recommendation’ and ‘your team implements it.’ We remove the handoff. One team, building together, from day one.
What's included
- Embedded senior engineer(s) working inside your existing tools and processes
- Direct integration with your production stack, not a sandboxed side-project
- Weekly shipped increments — visible progress, not milestone theater
- Full knowledge transfer so your team can own and extend the system after we're gone
Next step
From here, teams typically automate a workflow with Agentic Systems, or go deeper on model performance with Custom Model Development.
Agentic Systems →