Being a startup CTO doing vendor due diligence is a particular kind of difficult. You're time-pressured, you're probably evaluating multiple vendors simultaneously, you're not sure how much skepticism is appropriate, and you're making a decision that could significantly affect the next 12 months of your company's trajectory.
This checklist is built for that situation. It's not exhaustive; it's prioritized.
Before the First Conversation
Before you get on a call with any vendor, do the following.
Check their LinkedIn presence, not for the company page but for the engineers. Are there real senior engineers listed as working there? How long have they been with the company? Churn at the senior engineering level is a meaningful signal.
Look for any publicly visible work. GitHub repos, technical blog posts, conference talks, open-source contributions. Companies that build good software often have engineers who are visible in the technical community. Not always, but often.
Check reviews on platforms like Clutch, G2, or Glassdoor. Read the negative reviews specifically. How the company responds to criticism is at least as informative as the volume of positive feedback.
Technical Capability Assessment
The portfolio review is not enough on its own. You need to go deeper.
Ask to see the architecture diagram of a comparable project, not a sanitized marketing version but an actual technical diagram showing how the system is structured. If they hedge on sharing this (client confidentiality is a legitimate reason), ask them to describe it verbally in enough detail that you can assess the technical decision-making.
Ask what technology choices they made and why. Not just what they built in, but why they chose that framework over alternatives. Technical decisions made for good reasons reveal a team that thinks, not just one that executes.
Ask about a technical mistake they made on a project and how they handled it. This is one of the most reliable questions in a vendor assessment. Teams that have genuinely built complex software have made and recovered from mistakes. Teams that say they haven't are either lying or haven't done the work.
AI-Specific Due Diligence
If your product roadmap includes AI, add these checks.
Ask specifically about AI features they've shipped, not explored, not researched, not built demos of. What was the model, what was it doing, how did they evaluate it, and what happened when it underperformed?
Ask how they approach AI feature testing. As discussed elsewhere, AI testing is a different discipline. Teams that don't have a clear answer to this question are not ready for production AI work.
Ask about their experience with the specific AI approach your product requires. Agentic AI, retrieval-augmented generation, fine-tuning, computer vision, NLP: these are distinct skill areas. Depth in one doesn't guarantee depth in another.
If you're evaluating vendors based in India's NCR region, a good AI development partner in Noida will be able to speak specifically and concretely to all of these. Generic answers about "leveraging AI" or "using the latest models" should lower your confidence.
Process and Communication
How a vendor communicates during evaluation tells you how they'll communicate during a project.
Do they ask good questions about your product and your users, or do they jump straight to proposing a solution? Do they follow up within the time they said they would? Is their written communication clear and substantive? These are soft signals, but they're consistent predictors of the working relationship.
Ask directly: what is your sprint cadence, what does a typical sprint review look like with a client, and how do you communicate when something is going wrong? Listen for specificity. Vague answers about "staying in touch regularly" and "keeping clients in the loop" are not a communication process.
Reference Check
Ask for two client references from projects of similar scale and complexity to yours. Not from their most impressive enterprise clients if you're building a startup product, and not from startup clients if you need enterprise-grade reliability. Similar context is what matters.
When you speak to those references, ask: did the final cost land close to the original estimate, how did the team handle it when something didn't go to plan, would you hire them again for a larger project, and what would you tell me to watch out for? The last question produces the most useful answers.
Contract Review
Have a lawyer review the contract. This is non-negotiable for any engagement over a certain size.
Specifically, check: IP assignment (you own the code, full stop), payment milestones and what triggers them, acceptance criteria and what happens if deliverables aren't accepted, how disputes are resolved, and what the exit clause looks like. A contract that doesn't have a clear exit mechanism for either party is a trap for both.
The Noida Vendor Landscape for Startup CTOs
Startups evaluating Noida-based software development companies have a specific advantage: the ecosystem here includes both large established software companies and lean specialist teams, often within the same price band. For AI-focused products, the talent concentration in sectors like Sector 62, Sector 63, and the Expressway corridor means that specialized AI engineering skills are more accessible here than in many other markets at comparable cost points.
The due diligence process above applies regardless of geography, but the Noida market does offer genuine quality at rates that make extended, thorough due diligence economically viable. You can afford to evaluate four or five vendors properly rather than just the one or two you'd have time for at higher rates.
FAQ
Q1: How many vendors should a startup CTO evaluate before choosing one?
Three to five is a practical number. Fewer than three gives you insufficient comparison. More than five creates evaluation fatigue and makes it difficult to give each vendor the attention needed for meaningful assessment. Shortlist based on initial research, then run detailed evaluation on your shortlist.
Q2: Should a startup CTO always do technical interviews with the actual developers who will work on the project?
Ideally yes, at least with the senior developer and tech lead. This is the most reliable way to verify the technical depth the vendor is representing. If a vendor resists this without a compelling reason, treat it as a yellow flag.
Q3: What's a reasonable timeline for the due diligence process?
For a project above a certain scale (more than a few months of work), two to four weeks of structured evaluation is reasonable. Below that scale, a week of focused evaluation is often sufficient. Startup urgency often pushes this timeline down, but shortcuts in due diligence almost always cost more than the time saved.
Q4: How should a startup CTO evaluate AI claims from vendors
Ask for specifics, not credentials. Not "we have AI experience" but "here is an AI feature we shipped, this is how we evaluated it, and this is what we'd do differently." Depth and specificity are the indicators of genuine capability.
Q5: Is there a risk of a vendor being too junior for a complex startup product?
Yes. Boutique vendors sometimes present senior-level capabilities while planning to deliver with junior-level teams. The mitigation is meeting the actual team who will work on your project, reviewing their individual experience, and asking the vendor to explain who the senior engineer on your project will be and how they'll be involved day-to-day.
Q6: What's the most overlooked item in vendor due diligence?
Documentation practices. Most startup CTOs don't ask to see examples of technical documentation, architecture notes, or handoff materials from past projects. The quality of documentation determines how transferable the work is if you need to change vendors or bring work in-house later. A vendor who doesn't document well is creating a dependency that may cost you significantly down the line.
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