AI implementation pod
Typical roles
- Solution architect
- AI / ML engineer (×2)
- Data engineer
- Delivery lead
OutcomeShips a production AI capability — not another prototype.
A pod arrives with a named delivery lead, a defined outcome, and the mandate to own it. You are buying a result, not a set of seats.
Who actually shows up
Three pods, shaped by what you're trying to finish.
Composition flexes. What doesn't flex is that one person owns the outcome and you always know who it is.
MLOps & quality pod
Typical roles
- MLOps engineer
- QA automation engineer
- DevSecOps engineer
- Site reliability engineer
OutcomeKeeps what's shipped fast, safe and observable.
Startup growth pod
Typical roles
- Full-stack engineer (×2)
- QA engineer
- DevOps / cloud engineer
OutcomeOne flexible team covering build, test and run.
Methodology
The Vantidge delivery framework
Four phases, in order, every time. The timings below are typical for a first engagement.
01
Weeks 1–2
Assess & align
Readiness audit, use-case prioritisation, and a scoped delivery plan with clear ROI targets.
02
Weeks 3–8
Build & integrate
Architecture and implementation inside your existing stack, workflows and security posture.
03
Ongoing
Operate & optimise
MLOps, testing and monitoring keep every system reliable, observed and improving.
04
Your timeline
Transfer & scale
Documented knowledge transfer and flexible scaling — stay hands-on, or hand off the keys.
Engagement models
Flexible by design. Scales with you.
Start in one model and move to another as the work changes — without re-procuring a new vendor.
Staff augmentation
Embed one specialist or many into your existing team, under your management.
Dedicated pods
A self-contained, cross-functional squad owning a product area end to end.
Managed services
Ongoing operational ownership of deployed AI systems against agreed service levels.
GCC build-operate-transfer
We build and run your India centre, then hand you the keys and the playbook.
Startup partner plans
Right-sized engagements built for early-stage budgets and changing scope.
Where we deliver from
The India delivery advantage
Offshore delivery earns its reputation one engagement at a time. Here is what we hold ourselves to.
Talent depth
Deep, specialised AI/ML and QA talent pools across India's major tech hubs — sourced directly, never layered through subcontractors.
Cost structure
Enterprise-grade delivery at a materially lower fully-loaded cost than onshore-only teams.
GCC experience
Hands-on centre stand-up expertise: entity guidance, facility, compliance and governance — not just resume sourcing.
Time-zone overlap
Structured overlap hours with US, UK and EU teams keep delivery continuous, not batch-and-wait.
Ready when you are
Let's scope the right pod for what you're building.
Tell us the outcome you need and the date you need it by. We'll come back with a pod shape, a phase plan and an honest view of the risks.