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?
Ask for a fixed-scope POC (2–4 weeks) with explicit go/no-go criteria. Avoid open-ended hourly discovery that never ships.
2. Can they show eval discipline?
Demand documented baselines, hold-out sets, and error analysis — not just accuracy on a demo split. Ask how they 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 — 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, not negotiated after the first sprint.
5. Can they deploy where you need it?
Cloud, on-prem, air-gapped, and edge (Jetson, Coral, ESP32) — confirm they have shipped in your target environment. See AI & ML services.
6. Do they understand your industry?
Manufacturing, defence, HealthTech, and AgriTech have different constraints. Ask for relevant outcomes, not generic CV templates. Explore our industry pages.
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.
