01 · Forward Deployed AI Engineering
Our FDEs help your team make money with AI in 90 days.
Senior engineers deployed in your environment: working AI in 30 days, production in 90, pricing based on results.
100+
AI projects delivered inside customer environments.
$500M+
of business impact generated by those deployments.
~10 yrs
leading forward deployed AI engineering at Microsoft.
02 · The diagnosis
Nobody owns the last mile. That is the whole story.
- RAND · 2024>80% of AI projects fail — twice the failure rate of non-AI IT projects.
- S&P Global · 202546% of AI proof-of-concepts are scrapped before they reach production.
- BCG · 202614% of CEOs clearly define the P&L impact for all their AI initiatives.
Over the same window, the models got dramatically better. So whatever kills these projects, it is not model quality.
03 · The track record
Over 100 successful AI projects.
Over ten years of forward deployed AI across retail, energy, finance, healthcare, gaming and heavy industry. Every square below is one delivered project: filter them by industry.
04 · The value
What you get.
Most of what you need, you already have: real use cases, a platform, talented engineers. What is missing is the agentic playbook: the operational knowledge to turn what you already have into production systems that make money.
- 01
A measured P&L result
We sign the metric with you before kickoff, and your sponsor, not us, signs off the value.
- 02
Live in production, fast
Working software in 30 days, production in 90, built where pilots usually die: inside your cloud, your repos and your IAM.
- 03
A special-forces team
We transform your team into a high-quality special-forces team: your engineers pair with ours and come out able to build agents themselves, with the operational and tactical knowledge to execute.
- 04
No vendor lock-in
Most integrators are there to sell you their cloud, their AI or their product. We sell none of them: we stay independent, and you keep everything, your repos from the first commit, full IP assignment, no runtime licence.
- 05
Risk stays with us
Fixed fees, milestones gated on production, part of the fee tied to the signed result. You buy the result, not the effort.
Four ways to work with us
- AI StrategyFind where the money is: use cases ranked by value, feasibility proven on your data.
- Production PilotProve it is real: one use case, from measured pilot to first production deployment.
- Embedded FDEValue at scale: engineers embedded in your teams, shipping system after system.
- EnablementYour team operates like special forces: trained and certified to build, run and extend agents without us.
05 · Questions buyers ask
Frequent Questions
- 01
Our data cannot leave our perimeter.
It never does. All work happens inside your boundary: named individual accounts in your IdP, least-privilege and time-bound, on your devices or your VDI. Model hosting is your decision: open weights in your perimeter, your cloud’s in-tenancy endpoints, or an API under your contract. Nothing is copied to Datacean systems, a DPA is signed before access, and practices are evidenced against SOC 2 and ISO 27001 control sets in your vendor review.
- 02
We already licensed an AI platform.
Keep it. A platform ends at the API: integration, data quality and permissions stay on your side, and that is the gap where pilots die. We build that last mile on whatever stack you already run: AWS, Azure, GCP, on-premise or air-gapped.
- 03
Why not a Big-4 firm or a systems integrator?
They bill effort: senior people sell, junior people build, and the meter runs whether it works or not. We are paid on a measured result: fixed fees stay fixed, overruns are ours, and the variable part is tied to a number your sponsor signs before kickoff.
- 04
What do we own at the end?
Everything, from the first commit: source code in your repositories, pipelines and infrastructure as code, runbooks, prompts and evaluation suites. Full IP assignment: no runtime licence, no per-seat fees, no phone-home. There is nothing to hand back.
- 05
How do we avoid depending on you?
The exit is in the SOW: your team handles 90% or more of operations and changes without us by month 12, measured quarterly, and we certify your people as internal trainers. The pilot quotes the annual rate in advance, so nothing is ever renegotiated from a position of dependency.
- 06
What do you need from us?
A named owner, a weekly decision cadence, and 20–40% of two of your engineers. If we cannot get these, we tell you before you spend money. We put this on the page because vendors never do.
- 07
What happens in the scoping session?
A working session on your use case: where AI can produce money for your team, what it needs from your environment, and what the first 90 days would look like. You leave with a written summary. No cost, no obligation.
06 · Where to start
One next step: your AI readiness score.
Five questions. See where your team stands.