Choosing an AI development partner in India is not about who demos the flashiest notebook. Production teams need a partner who can frame the problem, ship eval harnesses, deploy inference with SLAs, and hand you the weights and code when procurement asks.
TechieYan Technologies — headquartered in Hyderabad with 10+ years, 50+ partners, and 200+ projects delivered — uses this checklist on every engagement. Use it to evaluate any vendor, including us.
1. Do they separate POC from production?
Yes — a credible AI partner offers a fixed-scope POC (2–4 weeks) with explicit go/no-go criteria. Avoid open-ended hourly discovery that never ships to production.
2. Can they show eval discipline?
Yes — they must provide documented baselines, hold-out sets, and error analysis, not just accuracy on a demo split. Ask how they detect and handle data drift after go-live.
3. What is their MLOps story?
Model registry, CI/CD for ML, monitoring, and rollback paths should be in scope from day one — not a Phase 2 surprise. See our MLOps practice.
4. Who owns the IP?
You should own weights, code, and pipelines. NDAs and IP assignment should be standard before the first sprint — not negotiated after GPU hours are billed.
5. Can they deploy where you need it?
Yes — confirm they have shipped in your target environment: cloud, on-prem, air-gapped, or edge (Jetson, Coral, ESP32). See AI & ML services.
6. Do they understand your industry?
Manufacturing, defence, HealthTech, and AgriTech have different compliance and uptime constraints. Ask for relevant production outcomes, not generic CV templates. Explore our industry pages.
7. What does the first sprint deliver?
A credible partner returns a written scope within days: data requirements, eval metrics, deployment target, timeline, and a fixed price — before any GPU hours are billed.
8. Can they support you after go-live?
Yes — retained engineering pods, drift monitoring, and model retraining should be available from the same team that built the system, not a separate support desk.
Red flags to walk away
- Open-ended hourly discovery with no milestone deliverables
- Refusal to share eval methodology or hold-out set design
- Vendor retains model weights or claims licence fees on your data
- No production deployment references in your industry vertical
About TechieYan Technologies
TechieYan is an India-based deep-tech R&D studio building production AI, IoT, computer vision, robotics, and embedded systems. Book a free 30-minute call or WhatsApp +91-7075575787.
FAQ
What should I look for in an AI development partner in India?
Look for fixed-scope POCs, documented eval harnesses, MLOps in scope from day one, IP ownership, and production deployment references in your industry — not demo-day accuracy alone.
How long does an AI POC take with TechieYan?
Most POC sprints run 2–4 weeks with go/no-go criteria. Milestone-based production builds follow with weekly demos and defined inference SLAs.
