How do I know if a software development company in India is genuine and not just rebranding itself as an AI company?

Why this problem is especially common in India right now

India has over 25,000 registered IT companies. When 'AI' became a selling point, a significant number added it to their branding without changing their actual capabilities. The result: buyers face a market where almost every vendor claims AI expertise, making it genuinely hard to separate substance from positioning.

Seven things to check before signing anything

1. Ask for deployed products, not mockups. A real AI company can point you to live apps, APIs in production, or dashboards used by real customers. Ask for a demo environment you can click through yourself.
2. Verify client references independently. Don't rely on logos on a website. Ask for a named contact at two or three clients, then call them. In India, founders are generally accessible and will give you an honest two-minute read.
3. Look at the actual team on LinkedIn. Check job titles, past employers, and education. Genuine AI capability requires data scientists, ML engineers, or researchers — not just full-stack developers who've done one Coursera course.
4. Ask a technical question they shouldn't be able to fake. Something like: 'What model did you use for this feature, how did you evaluate it, and what was the baseline you beat?' A rebranded shop will give vague answers; a real team will get specific fast.
5. Check GitHub or similar portfolios. Open-source contributions, model cards, or even internal documentation shared under NDA tell you a lot about engineering culture and actual output.
6. Scrutinize case study numbers. Phrases like 'improved efficiency' without a metric are filler. Ask what the metric was, how it was measured, and whether you can see the raw data or client confirmation.
7. Understand their data practice. AI work requires training data, validation sets, and ongoing model maintenance. If a vendor has no opinion on data governance or retraining cadence, they haven't actually built AI pipelines before.

Green flags worth weighting

• Case studies that name the client, the problem, the approach, and a specific outcome — for example, a logistics platform onboarding 800K+ trucks with AI route matching that measurably cut empty-truck miles.
• Willingness to sign an NDA before any discovery conversation — standard practice for firms that handle sensitive client data regularly.
• Clear answers on IP ownership from day one (you should own 100% of what's built for you).
• A milestone-based engagement model rather than a long retainer locked in upfront.

A note on offshore middlemen

Some firms registered in the US, UK, or UAE are actually reselling Indian development capacity without technical oversight. Always confirm who is doing the actual engineering work and whether you'll have direct access to that team.

Where CodeNicely fits

CodeNicely is a product development studio based in India (Raipur) with a portfolio that includes verifiable products like Vahak, GimBooks, and HealthPotli — each with public metrics and named outcomes. If you're evaluating them alongside other vendors, apply the same checklist above; they should pass it without hesitation.