Engineers who sit with your team and ship.
Our Forward Deployed Engineers (FDEs) embed directly with your business and technical teams — on-site or remote — to turn ambiguous, high-priority problems into working AI and data solutions in production, in weeks rather than quarters.
Overview
An FDE is part consultant, part software engineer. They learn your workflows first-hand, prototype quickly with real users, integrate with your existing systems and data, and harden what works into production-grade software your teams can own.
Engagements are outcome-driven and time-boxed. We pair FDEs with our offshore delivery centre in Hyderabad for scale, and we transfer knowledge throughout so your organization keeps the capability when we step back.
What you get with us.
Embedded with your team
Engineers who work in your environment, tools and rituals.
Rapid prototyping
Working software in front of real users within days, not slide decks.
Systems integration
Connecting AI to your data platforms, ERPs, CRMs and legacy systems.
Production hardening
Security, testing, monitoring and scale for solutions that last.
Onshore + offshore
Forward-deployed leads backed by our Hyderabad delivery centre.
Knowledge transfer
Documentation, pairing and handover so your team owns the result.
How an FDE engagement runs
- Week 1: embed, map the workflow, define success metrics
- Weeks 2–3: prototype with real users and data
- Weeks 4–8: integrate, harden and deploy to production
- Ongoing: measure, iterate, then hand over or scale
Related articles
Agentic AI in the Enterprise: A Practical Guide
What agentic AI is, where AI agents deliver value first, how to design them safely with guardrails and human oversight, and how to move from pilot to production.
What Is Forward Deployed Engineering — and When Do You Need It?
Forward deployed engineers embed with customer teams to turn ambiguous problems into production software. Here is how the model works and when it beats traditional delivery.
How to Measure Generative AI ROI
A practical framework for measuring the ROI of generative AI — baselines, value metrics, quality and risk, full cost of ownership and how to report results.
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Learn moreReady to build what’s next?
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