We Turn Business Problems Into Production-Ready AI.
Strategy, data, agents and automation — delivered end to end.
- 135+
- AI Projects Delivered
- 10+
- Industries Served
- 99.9%
- Client Satisfaction
Trusted by teams across 10+ industries — manufacturing, retail, healthcare, logistics, BFSI and more.
Who We Are
AI That Is Still Being Used in Month Three
ThinnAiQ is an AI consulting and development company based in Coimbatore. We work with manufacturers, exporters, hospitals, lenders and growing businesses across India — places where a new system has to prove itself in weeks, not quarters.
Most of our work starts with a problem someone has already tried to fix. A quality check that misses defects on the night shift. A forecast the planning team quietly overrides. A day a week lost to paperwork that arrives as photographs of paper. These are ordinary problems. They are also expensive, and they rarely appear as a line in anyone's budget.
We build the models ourselves rather than only connecting ready-made tools. That matters on the day a standard product does not fit your formats, your data or the languages your staff work in. It matters again a year later, when something needs changing and you want the people who built it.
It also means we can tell you when AI is not the answer. Sometimes the fix is a process change, a sensor, or a conversation with a supplier. You will hear that from us in the first two weeks — not in month five, after the invoices have started.
Models built for your data
We design, train and test models in-house. When a ready-made tool cannot handle your formats, your languages or your edge cases, we build one that can.
Answers where people already work
We connect to the systems you run — your ERP, your hospital software, WhatsApp — so the answer arrives in the tool someone already has open. Not one more login to remember.
You are not left holding it
You get the working system, documentation and training for your team. Your data stays yours and exports whenever you ask. Anything else that transfers is agreed in writing before work starts.
What We Do
AI Solutions Built Around Your Business
Nine service lines, one delivery model — from first strategy workshop to a system running in production.
Industries We Serve
Deep Expertise, Industry by Industry
We bring domain context to every engagement, so the solution fits how your sector actually operates.
Straight Answers
The Six Reasons Businesses Stall on AI
And what we actually do about each one. If your hesitation is not here, ask us directly — we would rather answer it than have you guess.
“AI is too expensive for a business our size.”
Cost depends on scope, not on how big you are. One focused use case — automating a document workflow, or forecasting one product line — usually takes a few weeks. We work out the likely return with you first. You see that number before you commit to anything.
“Our data is a mess. We are not ready.”
Almost no company is ready. Waiting until you are is how three years pass with nothing built. Cleaning the data is part of the project, not something you must finish first. In practice, the first project usually improves your data as a side effect.
“We do not have anyone in-house to run it.”
We build for handover and write the documentation as we go. Your team can run what we deliver without us. If you want ongoing help, we offer monitoring and retraining. That is your choice, not something we design you into.
“What happens to our data?”
It stays yours. We can work inside your own cloud or your own servers, so nothing leaves your systems. We sign an NDA and a data processing agreement as standard. Access control and audit logs are built in from the start, not added later.
“How do we know it will actually deliver ROI?”
You agree the measure before we build anything. We start by writing down what success looks like in your numbers: hours saved, stock reduced, defects caught, cycle time cut. Then we report against it. If a use case cannot be measured, it is rarely the right one to start with.
“These projects always overrun.”
They do when the scope is vague. We work in short stages, and you get something to review at the end of each one. A proof of concept takes four to eight weeks. Full deployment usually takes three to six months. You see progress long before you see a bill for the whole thing.
Our Approach
One Process. Five Steps.
The same delivery model on every engagement, whether it is a four-week pilot or a year-long programme.
- 01
Discover
Understand your business, data, challenges and goals.
- 02
Design
Prioritise use cases and design the solution architecture.
- 03
Build
Develop, train and validate models against real outcomes.
- 04
Deploy
Integrate into your systems with monitoring and governance.
- 05
Optimise
Measure, refine and scale what demonstrably works.
Common Questions
What Businesses Ask Us First
Three things, in order. First, work out which of your problems AI can solve and which it cannot. Second, build the solution and test it on your real data. Third, put it into your systems and keep it working as things change. The first step matters most. A good use case built averagely beats a poor one built perfectly.
It depends on scope, not on company size. One focused use case is usually a few weeks of work. A system that connects several platforms is a bigger project. After the first call we send a written quote, with the expected return worked out next to it.
A working proof of concept takes four to eight weeks. Full deployment usually takes three to six months. It depends on how many systems we connect to and how ready your data is. We plan it so you get something useful early, not everything at the end.
Yes. We are based in Coimbatore, Tamil Nadu, and work with clients across India and abroad. Most of the work happens remotely. We come on site when the project needs it, such as setting up cameras on a factory floor.
Yes, and most of our work involves exactly that — ERP, CRM, warehouse management, accounting packages, custom internal tools and spreadsheets. We treat integration as part of the solution rather than an afterthought, because an AI system nobody can reach is not worth building.
We will say so. Plenty of problems that look like AI problems are actually process, data-quality or reporting problems, and solving them properly is cheaper and faster than modelling around them. Telling you that costs us a project and earns us a reputation we would rather have.
Let's find the AI use case that pays for itself.
A 30–45 minute discovery call. No commitment, no obligation — just a clear view of what is realistic for your business.
Book a Free Consultation