Fractional Forward Deployed Engineering
We join your engineering team and ship production AI — agents, retrieval pipelines, internal automations. No full-time hire. No vendor lock-in.
01Why forward deployed
Most AI consulting ends with a strategy document and an invoice. Ours ends with code in production and a team that knows how to maintain it.
02What we build
Every engagement is scoped to your problem, but the work almost always lands in one of these areas.
Multi-step agents that take over the work your team does by hand — document processing, support triage, internal tooling.
Each request goes to the cheapest model that can handle it, with automatic fallback. Clients cut API spend by up to 60%.
Runs in your AWS, GCP, or Azure account — or fully on-prem. You own every line of code and every byte of data.
03How an engagement runs
Most teams see working code inside a month.
We map the workflow, benchmark models against your data, and tell you honestly whether it's worth building.
A working version against real data, so you can judge it before committing further budget.
Hardened, deployed in your environment, with your team trained to run it.
04Engagement models
Every tier is scoped on the call. Scale up or down as the work changes.
10–15 hrs / week
20–25 hrs / week
Full-time
05Next step
A 30-minute call with our engineering lead. We'll tell you what's feasible, what it costs, and how fast it ships.