For CTOs and chief data officers with a problem nobody has scoped yet
Forward-deployed teams
A forward-deployed engineer is a senior engineer from TechFabric who works on your problem for the length of the engagement, either embedded in your team or as part of a pod that owns delivery outright. They scope and build in the same motion rather than handing a specification to someone else, and the engineer in the first conversation is the one who writes the code.
Product, design and engineering people who sit inside your business, find the real problem, and ship it.
6 common questions, answered below ↓The people in the room are the people who build it. Not only engineers: product engineers who decide what is worth building and design engineers who make it usable, working alongside the people writing the code. Embed them in your team, or hand us the whole programme and we will run it as a full team from our own offices. Either way there are no account managers and no handoff to a delivery team you have never met.
- Product, design and engineering on the same team, not sequential vendors
- Embedded with your team, or a full team delivering from our offices
- Scoping and building are the same activity, not sequential phases
- Continuity. The same people stay with the engagement
What we bring with us
Systems we have already built for this work.
Fabric Harness
A TypeScript framework for durable, deployable autonomous agents.
Read the detailWhere humans steerFabric Tower
Mission control for AI agent squads. Where people watch, steer, and approve the work.
Read the detailThe whole stack, workingFabric GTM Brain
A revenue engine for GTM teams, and the reference implementation of everything above.
Read the detailHow an engagement works
01
Talk to an engineer
A real conversation about your initiative with a senior engineer who has built this before. Not a sales call. What you are trying to build, what has been tried, and what is realistic.
02
Discovery and scoping
Two to three weeks to clarify requirements, evaluate where AI fits, and define realistic scope. You get a plan you can act on before committing to a larger engagement.
03
The right team, daily demos
We put the team the work actually needs on it and show you running software every day. Built with the same rigor as any enterprise system: tested, monitored, documented.
04
Production and beyond
Deployed and running under real load, handling real business processes. Ongoing support and team continuity for whatever comes next.
Databricks implementation
Lakehouse to live application. Migration, governance, and native Databricks apps.
Platform & SaaS development
Full product delivery, from first architecture to a system running under load.
APIs & durable systems
Long-running operations that survive restarts, retries, and partial failure.
FAQ
Forward-deployed teams, answered
How is this different from staff augmentation?
A contractor takes a ticket. A forward-deployed engineer takes the problem. They sit with the people who have it, work out what is actually wrong, and build the fix. You are buying judgment about what to build, not hours against a specification someone else already wrote.
How long before they are productive on our codebase?
Days, not months. Our engineers average fifteen years of experience and have worked in unfamiliar enterprise codebases many times. The two-to-three week discovery exists so that ramp happens against a scoped piece of real work rather than as unbilled onboarding.
Do we get the same people for the whole engagement?
Yes. Continuity is the point. The team assigned to your project stays on your project and learns your systems, your data and your business context. We do not rotate people between accounts to balance utilisation.
Do they join our team, or run the work themselves?
Either, and the choice is yours. Our people can embed in your team, joining your standups, using your tools and reviewing your pull requests. Or we take the whole programme and run it as a full team from our own offices, delivering against outcomes while your team stays on its current roadmap. That second model is how we take on the larger builds, and plenty of engagements start as one and become the other.
Is this only engineers, or do you bring product and design too?
Both. Alongside software engineers we field product engineers, who decide what is worth building and cut the scope that is not, and design engineers, who make the thing usable rather than merely functional. All three work as one team, and AI has made that team considerably smaller and faster than the equivalent staffing three years ago. We have a Director of Product and a Director of Design, not a subcontracted design partner.
What size engagement makes sense?
Most start with a two-to-three week discovery, which gives you a scope, an architecture and a realistic cost before you commit to anything larger. From there we put the right team on it to get things done, with daily demos so you see working software rather than status reports. That might be a single embedded engineer or a pod that owns the programme outright.