AI built for the way your industry works.

Every sector in India has its own forms, its own regulator and its own way of getting things done. We start there, not with a model.

Why industry matters

A collections call in Pune is not a support chat in Bengaluru. An IRDAI claim file is not a GST return. The model is often the easy part. The hard part is the workflow around it: who checks the output, which system it writes to, what the regulator expects, and what happens when the AI is not sure.

So we focus. We work in four sectors where we understand the documents, the systems and the rules well enough to build something that runs on Monday morning.

  • The documents your teams handle every day
  • The systems you already run: core banking, HIS and LIS, Tally, SAP, Zoho, Salesforce, WhatsApp
  • The rules you answer to: RBI, IRDAI, SEBI, the DPDP Act, clinical responsibility
  • The languages your customers and staff actually use

Other sectors we work with

We also take on selected work in education, real estate and professional services, including CA and legal firms. If your problem is a document, a queue of calls or a back-office task, the method is the same. Tell us about it →

What stays the same in every sector

A metric before we build

Every engagement has a success metric and an evaluation set agreed in writing before any build starts.

Your environment, Indian regions

We deploy in your cloud account or on your premises, in Indian cloud regions by default. Your data is never used to train models.

Discover → Prove → Build → Run

A short sprint, a fixed-price pilot on real data, a production build, then a managed retainer that keeps quality measured every week.

Tell us about one workflow that costs you too much time.

Thirty minutes with a founder. Within three working days you get a one-page note on whether AI is the right tool, and what we would do next.