AI ENABLEMENT
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: the model, the integration, the security review, and the cluster it runs on.
Forward-deployed engagementEMBEDDED
- EmbedRead-only, least-privilege
- IntegrateAgainst the real system
- HardenSecurity, approval, cost
- Hand overYou own and extend it
Your repos / your tooling / your approval gates
The Problem
Enterprise AI rarely fails because the model is wrong. It fails in the gap between the demo and production: integration, security sign-off, cost governance, and on-call reliability. That gap is what we close.
What We Do
- 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
How It Works
- 1EmbedRead-only, least-privilege
- 2IntegrateAgainst your live services
- 3HardenSecurity, approval gates, cost guardrails
- 4Hand overYou own and extend it
Outcomes
- Pilots that reach production
- AI with security and audit built in
- Your team able to run and extend it
What we bring to the engagement
Production AI PlatformsInference platforms, GPU scheduling and ML pipelines on Kubernetes.Explore AI Reliability & ObservabilitySLOs, error budgets and incident response for services and inference.Explore AI Security & GovernanceSecure CI/CD, policy-as-code and auditability for model workflows.Explore AI & Cloud FinOpsCost visibility and rightsizing across cloud, GPU and token spend.Explore
Tell us where your AI is stuck.
Talk to an engineer