Built by practitioners

MindYards was founded by Selvakumar Dhanasekaran, a technology leader who has led engineering teams across enterprise platforms and AI products, from Node.js and Angular platforms to full-stack AI applications and agent systems.

We are based in Chennai and work with clients across India and the Middle East. We prefer short, well-defined engagements, written deliverables, and an honest conversation when something isn't worth building.

Senior-led deliveryThe people you meet are the people who build.
Your stack, your cloudWe work inside your environment and leave it documented.
Evaluation firstEvery model decision is backed by a test set you can see.
Transparent pricingFixed-fee phases with a written scope before we start.
Chennai Central railway station
Chennai, where MindYards is based. We work with clients across India and the Middle East.
The hard part of AI isn't the model. It's the hundred small decisions between a demo and something your customers rely on. MindYards operating principle

Small scopes, measurable outcomes

Every engagement follows the same four moves. It keeps risk low for you and keeps us accountable for what is working.

  1. 1

    Frame

    Agree the business outcome, the metric and what good enough looks like before any code is written.

  2. 2

    Prototype

    A working slice on your real data in weeks, not quarters, with an evaluation set you can inspect.

  3. 3

    Harden

    Guardrails, monitoring, cost controls, compliance evidence and fallbacks so the system behaves in production.

  4. 4

    Hand over or operate

    Your team owns it with documentation and training, or we keep running it under a managed retainer.

Questions we get on the first call

How quickly can we start, and what does the first month look like?

Usually within two weeks of a signed scope. The first two to four weeks are an assessment: interviews, a look at your data and systems, and a written roadmap with estimates. You can stop there or move straight into a build.

Do you work on fixed fees or time and materials?

Fixed fees for assessments and build phases, with written scope and acceptance criteria. Managed operations and fractional roles are monthly retainers you can end with notice. We avoid open-ended time-and-materials work.

Which models and clouds do you use?

Whichever fit the use case. We work on Azure, AWS and GCP, with OpenAI, Anthropic, Google and open-weight models, and we self-host when data residency requires it. We are not paid by any vendor to recommend them.

Can you help if our data isn't ready?

Yes. Data readiness is one of our service lines, and most programmes include some of it. We will tell you honestly if the data gap is big enough that a build should wait.

Do you handle EU AI Act and other regulatory work for companies outside Europe?

Yes. Indian and Middle East companies selling into the EU, or serving EU customers, carry obligations too. We also work with NIST AI RMF, ISO 42001, SR 11-7 style model risk controls and local regulator guidance.

What happens after the build is done?

Either your team takes over with documentation, training and a few weeks of on-call support from us, or we keep running it under a managed operations retainer with service levels and monthly reporting.

Tell us the problem. We'll tell you if AI is the answer.

A 30-minute call, no deck, no obligation.

Book a discovery call