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Forward Deployed Engineering

We don't send a deck.We move in.

An engineer from our team works inside yours — your repository, your data and your delivery rhythm — scoping, building and shipping alongside the people who will own the system.

See what you actually get ↓
A strong fit

Embed an engineer when

  • You know what needs building but delivery is stalled
  • The work needs daily access to your team and data
  • Production and handover matter more than a prototype
Use consulting instead

Do not embed yet when

  • The core decision has not been made
  • There is no internal owner to work alongside
  • You only need generic development capacity
04
What you get

Not advice about the work. The work.

iEngineers Inside Your Team

One of our engineers in your repository, your standups and your channels — learning your domain instead of reading a brief about it.

  • ·Your stack and your tools, not ours
  • ·Direct access, no account manager
  • ·A working rhythm agreed with your team
iiPilot to Production

The gap where most AI quietly dies. We take the demo that impressed everyone and make it survive real data, real load and real edge cases.

  • ·Smallest end-to-end slice first
  • ·Your real data from day one
  • ·Accountable until it's actually live
iiiEvals & Guardrails

Before we call anything done, we build the tests that prove it works — and the limits that stop it doing damage on the day it doesn't.

  • ·Evaluation sets built with your team
  • ·Human veto where the stakes are real
  • ·Monitoring a human can actually read
ivHandover, Not Lock-In

We're meant to be a temporary organ. Documentation, walkthroughs and a codebase your own team can run without calling us.

  • ·Documented as we build, not after
  • ·Ownership and access agreed before delivery
  • ·A handover designed from the start
How we work

From embedded to handed over

  1. 01
    Embed

    We sit with your team, learn the process and read the actual data — not the sanitised version.

  2. 02
    Prove

    One narrow slice, end to end, on your real data. If it won't work, this is where we say so.

  3. 03
    Ship

    Production code in your stack and your repository, reviewed by your own engineers.

  4. 04
    Hand over

    Documentation, walkthroughs, and your team running it. We stay on call only if you want us to.

Radical honesty
We'd rather leave than be needed.

The dishonest version of this service creates dependency. We design documentation, ownership and handover from the start — and if the problem does not need an embedded engineer, we say so before defining the engagement.

Still deciding what to build, and need a decision rather than hands?See AI consulting →

Got a pilot that never shipped?

Most companies have one. Tell us what stalled — we'll tell you whether an embedded engineer is genuinely the fix.

Use the AI Fix Check