Use Case
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Forward Deployed Engineering
FORWARD DEPLOYED ENGINEERING
From AI ambition to production in four weeks.
Our engineers work alongside your team to build and deploy on your infrastructure. You own the solution, the architecture, and what comes next.

Trusted by teams running AI in production
HOW IT WORKS
Four weeks. One production outcome.
From use case to deployment, with your team involved at every step.
Design
Scope the use case, architecture and success criteria.
Build
Develop and integrate on your existing stack.
Validate
Test, evaluate and refine with real workloads.
Handover
Transfer ownership, documentation and expertise.
THE OUTCOME
Built with you. Owned by you.
Production-ready AI
A deployed solution integrated with your systems, data and workflows.
Reusable architecture and controls
Documented integrations, evaluations, policies and components your team can extend.
An enabled team
Hands-on knowledge transfer and a roadmap for your next production use case.
WHEN TO ENGAGE
When production can’t wait.
Accelerate a priority use case
Move a high-value AI initiative from backlog to production without building a new team first.
Solve complex deployment challenges
Navigate integrations, security requirements and sovereign infrastructure with experienced engineers.
Build internal AI capability
Equip your engineers with the architecture, tools and experience to deliver independently.
REAL-WORLD APPLICATIONS
Built for real enterprise challenges.
From knowledge-intensive workflows to secure AI deployments.
Secure engineering assistant
AI-powered knowledge access within a customer’s sovereign environment, respecting data classification and access controls.
Enterprise knowledge assistant
Turn fragmented company documentation into accessible, searchable knowledge for employees.
Automated investment intelligence
Monitor news and portfolio exposure to surface relevant risks and accelerate investor reporting.
AI Gateway
Connect models and tools with centralized routing, visibility and control.
Software Factory
Establish governed, agent-driven software delivery workflows.
Shared Control Plane
Governance, security, evaluation and observability across both.
PLATFORM TESTIMONIAL
Trusted by teams running AI in production.
FAQ

