About

Built by an analyst, for analysts.

Chinmay Raibagkar, founder of DataLens AI

Chinmay Raibagkar

Marketing analyst · Founder of DataLens AI

Who builds DataLens AI

I’m Chinmay Raibagkar — a marketing analyst focused on data and automation. My week runs through data-warehouse pipelines, ad platforms, and dashboards, which is exactly where DataLens was born: as the tool I kept wishing existed.

Every feature traces back to a real Monday-morning problem — numbers that need defending, reports that keep getting rebuilt, and questions that deserve answers faster than a ticket queue. The content on this site — the blog, the glossary, the calculators — comes out of the same work: the definitions and discrepancies I run into building and using DataLens myself.

Why DataLens exists

Most AI tools for data hand you a confident number and no way to check it. In marketing that is worse than no answer: Google Ads, Meta and your own database already disagree, and the person in the meeting needs to know which figure to defend. So DataLens is built around one rule — every number arrives with its receipt: the SQL that produced it, the sources it read and what the query cost. Nothing is asserted that wasn’t fetched.

It connects to Google BigQuery, Google Ads, Meta Ads and spreadsheets, runs only read-only queries, and shows the cost of a warehouse query before it runs. The security page covers how data and credentials are handled.

How the content on this site is made

The blog, glossary and calculators come from problems I hit building and using DataLens. A few standards apply to all of it:

  • Every calculator shows the formula it uses, a worked example and what it does not model.
  • Glossary entries give the definition first, then the formula, an example and the common mistakes.
  • Posts carry their publish date and, when the facts change, an updated date.
  • Found an error? Email contact.datalensai@gmail.com and it gets corrected, with the updated date changed to match.

Try it

DataLens is in open beta. Signing in with Google starts a 7-day free trial in your own private project — no credit card. After that, pricing is scoped per engagement; see how pricing works or get in touch.

See my work and background·GitHub

DataLens AI: company facts

Product
DataLens AI — agentic analytics that answers plain-English questions with live, verifiable SQL.
Connects to
Google BigQuery, Google Ads, Meta Ads, Google Sheets, CSV/Excel uploads.
Models
Bring your own key (Gemini, Claude, GPT, Grok, OpenRouter, …) or run local OpenAI-compatible endpoints.
Status
Open beta — a 7-day free trial on sign-in (no card), then pricing scoped per engagement. No automatic charging.
Maker
Chinmay Raibagkar, marketing analyst focused on data and automation.
Contact
contact.datalensai@gmail.com