Summary
Before you hire the “best AI development company” from a Google ad, ask who owns the code, how they estimate, what they ship weekly, and what happens after launch. Transparent answers beat polished decks.
Searching “best AI development company” returns ads, directories and lookalike homepages. Use these seven questions instead. They are the filter we wish every buyer ran — including on software companies in Pune like us.
If the answer is fuzzy, walk away. You want source in your repo, fine-tuned weights (if any), embedding pipelines and IP assignment in writing. A trustworthy AI development company treats this as default.
Ask which architecture they recommend for your use case and why. Buzzwords without a data-flow diagram is a red flag. Related: RAG vs fine-tuning.
Cloud LLM APIs, self-hosted pgvector, on-prem — get it in writing. Under DPDP, “we use ChatGPT” without controls is not an architecture.
Demand working retrieval, eval metrics or integrated features — not slide decks. AI projects fail when demos never connect to your real documents.
Ask about citation requirements, confidence thresholds, human handoff and test suites. Production AI needs evaluation, not prompt hope.
Models drift, prompts break, API costs spike. Ask about monitoring, retainer scope and who owns incident response.
Case studies beat adjectives. Ask for something like our NotesAI RAG platform — or a client reference call about data handling and delivery.
Short discovery, written ₹ range, milestone payments, IP you own. If that matches what you want from a AI development company in Pune, start on our AI & machine learning page — and use the same seven questions on competitors.
Where your data flows, who owns models and code, and how they measure answer quality in production — not only in demos.
Local helps for workshops and compliance discussions, but RAG/MLOps experience and ownership terms matter more than pin code.
Three written proposals with architecture sketches beats ten vague “AI strategy” calls.
No data-flow diagram, no eval plan, “ChatGPT wrapper in two weeks,” and prices that ignore integration or MLOps.
Use these seven questions on every call — including ours. Start with our AI & ML development page or read the 2026 AI cost guide.
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