From stalled pilot to production AI, with engineers who ship.
We embed forward-deployed engineers with your team to take AI from a promising demo to a system your business runs on. They own the outcome end-to-end: the model, the integration, the security review, and the cluster it runs on.
- EmbedRead-only, least-privilege
- IntegrateAgainst the real mess
- HardenSecurity, approval, cost
- Hand overYou own and extend it
Enterprise AI rarely fails because the model is wrong. It fails in the gap between the demo and production: the data plumbing, the security sign-off, the cost, the on-call reality. Around 95% of enterprise AI pilots never deliver measurable impact. That gap is what we close.
- Embed senior AI-native engineers in your environment and tooling
- Take a pilot through integration, security review and scale
- Design human-in-the-loop approval and full auditability
- Leave your team self-sufficient: runbooks, no lock-in
- 1EmbedRead-only, least-privilege
- 2IntegrateAgainst the real mess
- 3HardenSecurity, approval gates, cost guardrails
- 4Hand overYou own and extend it
- Pilots that reach production
- AI with security and audit built in
- Your team able to run and extend it
Forward-deployed engineers. Not a ticket queue.
The best AI teams in the world (OpenAI, Anthropic, Palantir) don't win enterprise deployments by handing over an API. They put senior engineers inside the customer's environment to learn the data, the constraints, and the politics, then ship production code against the real mess. That's the model we're built on. You get engineers who own the outcome end-to-end, from the model call to the cluster it runs on.
Not a model vendor. Not a slide-deck consultancy.
We partner with best-in-class innovators to deliver future-ready, secure and scalable solutions.
Four rules we don't break.
- 1
Read-only and least-privilege by default.
We start by listening and understanding your systems and data, never by making changes.
- 2
We work inside your tooling.
GitOps, IaC, and your workflows. We plug in, we don't work around.
- 3
Nothing ships to production without your sign-off.
Every consequential action, human or AI, is yours to approve.
- 4
We leave you self-sufficient.
Runbooks, documentation, and enablement so your team owns what we build. No lock-in.
Questions we get asked
What is a forward-deployed engineer?
A forward-deployed engineer (FDE) is a senior engineer who embeds directly in your environment rather than working from a statement of work at arm's length. They learn your data, constraints and controls, then ship production code against the real system: the model calls, the integration, and the cluster underneath it.
How do you keep enterprise AI secure?
We start read-only and least-privilege, put policy-as-code guardrails on every change, human or AI-generated, and require human approval for consequential actions. Every step leaves an auditable trace, which is what SOC 2, PCI DSS, ISO 27001, GDPR and RBI reviews actually ask for.
How fast can you get a pilot into production?
It depends on what the pilot is blocked on: integration, security sign-off, or cost. We scope that in the first engagement phase and tell you plainly what stands between the demo and production, rather than quoting a timeline before we have seen the environment.