Staff augmentation
It gives you hands. You still own the problem, the architecture and the risk — and the job of coordinating everyone.
How we work
Engineers deployed inside your business.
We don’t hand you a team and walk away. We embed elite engineers in your context — your stack, your data, your constraints — and make them own the problem until it produces a measurable result.
The Forward Deployed model
A startup CTO for every client.
A Forward Deployed Engineer doesn’t write code at a distance: they sit in your context, understand the business before the ticket, and own the problem end to end. Palantir originated the model — internally they call them “Deltas” — to solve problems no off-the-shelf product could. We run it as a boutique firm: few clients, elite engineers, full ownership of the outcome.
- Context before code We understand the business, the data and the real constraints first. Code comes after that, not before.
- End-to-end ownership A single owner of the problem, from discovery to measurement. We don’t fragment accountability.
- Experienced, not supervised hands Engineers who make technical and product decisions from the same seat, with no intermediate layers.
Model validation (2026)
The market backed this model with billions.
This is not a niche trend. In 2026 the world’s leading AI labs institutionalized the Forward Deployed model with capital and dedicated infrastructure.
US$4.0B
raised by OpenAI’s “DeployCo” from 19 investors led by TPG
May 11, 2026
US$1.5B
in Anthropic’s joint venture with Blackstone, Hellman & Friedman and Goldman Sachs
May 4, 2026
+800%
growth in Forward Deployed Engineer job postings
Jan–Sep 2025
- May 11, 2026 OpenAI formed “DeployCo”: US$4.0B+ from 19 investors led by TPG, a ~US$10B pre-money valuation, and ~150 Forward Deployed Engineers brought in through the acquisition of Tomoro.
- May 4, 2026 Anthropic announced a US$1.5B joint venture with Blackstone, Hellman & Friedman and Goldman Sachs to bring its engineers into the client’s context.
- Jan – Sep 2025 Forward Deployed Engineer job postings grew +800%, a signal that the model went from a rarity to a standard.
AXENOR is the elite, boutique version of this model.
We cite this as proof of the model’s validity, not as affiliation.
The process
Four phases. One quantified result at the end.
The journey is deliberately short and visible. Each phase leaves something measurable behind — not a promise for the next meeting.
- 01
Onboarding
We embed in your team and your stack. We get access to the systems, tools and people that matter from week one.
- 02
Discovery
Immersion in your real context and data. We pinpoint where the value is and which constraints — technical, regulatory, human — shape the solution.
- 03
Delivery
Building under real-world constraints. We iterate in production, not in a lab, with visible milestones at every step.
- 04
Measurement
A quantified result, not a deliverable. We close against a business metric agreed in advance and monitored live.
Risk reduction
Built for the buyer who can’t afford to be wrong.
A long buying cycle is, at heart, a long list of anxieties. Our process dismantles them one by one: continuous visibility, short milestones, measurable deliverables and early value that justifies moving forward.
- Continuous visibility Access to real progress, not a monthly report. What we build is seen and tested live.
- Short milestones Brief, verifiable cycles. Each milestone is a decision point, not an act of faith.
- Measurable deliverables Every phase closes on something provable against an agreed criterion, not against an opinion.
- Time-to-value Value lands before the project closes. You validate the direction while you can still correct it.
Forward Deployed
We own the outcome. We take on the whole problem and answer for the final metric, not for billed hours.
The next step
Have a problem that demands the best engineers?
We review every application personally. We don’t work with everyone — and that’s precisely the point.