AI Readiness Audit
- Investment
- Free
- Timeline
- 1–2 sessions
A no-commitment review of your idea, data and constraints. You leave with a feasibility view, a recommended architecture, a rough timeline and the risks worth knowing before you build.
How We Work — Engagements
Clear scope. Weekly software. Founders on the call.
How engagements with GenOrbit run, what they cost and how long they take — so you can plan an AI product with numbers, not guesswork.
Engagement models
Four ways to work with us.
AI MVP
- Investment
- From ₹8–15 lakh
- Timeline
- 4–8 weeks
A fixed-scope, production-quality first version with one AI capability done properly — real users, real models, evaluation and analytics in place from launch.
Production build
- Investment
- ₹25–60 lakh typical
- Timeline
- 3–6 months
Full platforms with integrations, role-based access, evaluation harnesses, observability and scale-ready infrastructure. Regulated domains such as healthcare include compliance work.
Product retainer
- Investment
- Monthly
- Timeline
- Ongoing
Continuous iteration after launch: new features, model re-evaluation as providers change, dependency and security updates, and infrastructure monitoring.
Ranges are indicative for India-based engagements; international projects are quoted in USD after discovery.
Process
From first call to production.
- 01
Discover
Users, data, constraints and the one outcome that matters. We pressure-test whether AI is the right tool before proposing it.
- 02
Scope & architect
A fixed-scope proposal with system design, data model, model choices and an evaluation plan. No open-ended hourly billing.
- 03
Build in weekly slices
Working software every week in a shared repository and staging environment, demoed live by the engineers who built it.
- 04
Launch & observe
Production deployment with tracing, cost monitoring and quality dashboards for every model call.
- 05
Refine
Iterate on real signal: user corrections, eval scores and analytics feed the next release.
Our commitments
What every engagement includes.
- Founder-direct: you work with Avinash Chandan and Abhijeet Shankar, not an account manager.
- You own the code, data, prompts and infrastructure accounts from day one.
- Typed, tested and documented code with CI/CD, so your own team can take over.
- Weekly demos and written updates; a shared channel for day-to-day questions.
- Honest scoping — we will tell you when a simpler, non-AI solution is the better choice.
See the work behind these numbers in our portfolio, read how we price AI product development, or learn what AI-native means.
Ready to scope your product?
Start with the free AI readiness audit. Founder reply within 24 hours.