TatvaRatings is a lender-side index of India’s rated credit, built from the rating press releases the agencies already publish.
Why this problem
Read a single Indian credit rating press release and you may find an annexure listing the banks behind the rated borrower — the facility, the lender’s name, the sanctioned amount. SEBI mandates the press-release format and its public archive; the lender-wise annexure itself depends on the issuer’s consent, which is why it appears with 46.2% of rating actions rather than all of them. Where it is published, it has been public for years, and anyone can download it.
Read that annexure and you learn about one borrower.
The observation this company is built on is that the same rows answer a second question nobody had assembled them to answer: which rated borrowers name this bank? That question is the same data read in the other direction. It requires no new source, no privileged access and no relationship with any agency. It requires that somebody parse tens of thousands of press releases across seven agencies into one schema, resolve the lender names so that “State Bank of India”, “SBI” and a branch-suffixed variant are one lender, and index the result from the lender’s side.
Nobody had. So the relationship stayed published and unqueryable at the same time — printed in a table inside a PDF, one borrower at a time, across seven separate archives.
As at 29 August 2026 the index holds 179,857 lender-exposure rows across 70,337 rating actions, naming 1,501 distinct lenders. Coverage →
The honesty stance, as a deliberate position
The dataset has two structural limits.
The figures are floors, not totals. Only 46.2% of rating actions publish a lender-wise annexure at all — 32,498 of 70,337, as at 29 August 2026 — because disclosure depends on the issuer’s consent.
An annexure is a dated snapshot, not a feed. A typical annexure record describes a sanctioned position a year or more old, because a cooperating issuer’s rating is reviewed periodically, broadly once a year.
Those limits are on the homepage, on their own page, and inside every use case. That is a choice, and it is worth explaining why.
The buyer finds them anyway. Credit and risk teams are the one professional population trained to look for the hole in a dataset. They will find ours in the first hour of the first evaluation. The only variable is whether they read it here or discover it themselves — and the second version costs the deal.
A stated denominator is what makes a number usable. “At least 5,476, from public record” is something an analyst can work with. “5,476” alone is something they have to go and check. Stating the floor turns a limitation into a specification, and a specification is what this audience actually wants.
It qualifies out the wrong buyer early. If your requirement is a current and complete exposure position on one named company, or a system that tells you when something changes, this is not the right instrument. We would rather establish that in the first exchange than in the third. Nobody’s time is well spent discovering it in a pilot.
We do not publish customer counts, logos, testimonials or case studies, because we do not have ones we can name and an unnamed one is worse than none. We do not publish certifications, because we do not hold any. Every number on this site is a count taken from the database on a stated date.
Who is behind it
TatvaRatings is a product of Tatva Fintech Pvt. Ltd., incorporated in India.
Registered office Office No. 1, Mayfair Towers - II Shivajinagar, Pune Maharashtra 411005, India
CIN: U66190PN2025PTC250051
Email: hello@tatvaratings.com
TatvaRatings sits alongside TatvaCRM, TatvaBooks and TatvaMoney in the Tatva family of products.
What TatvaRatings is, and is not
It is market intelligence assembled from publicly published credit rating disclosures, indexed from the lender’s side, with every row traceable to the source document it came from.
It is not exposure monitoring, not a system of record, and not a control for any process requiring a current or complete exposure position.
It holds no regulatory status. No registration, licence, recognition or approval from the RBI or SEBI. It is not a credit rating agency, not a credit information company, and not a reporting institution under any supervisory framework.
It has no agency relationship. No partnership, endorsement, authorisation or affiliation with any credit rating agency, and none is implied. The source documents are public disclosures published by the agencies themselves; what is added here is parsing, entity resolution and the lender-side index.
It carries no credit opinion of its own. No score, no rank. The ratings held are the agencies’ opinions, attributed to the agency that issued them.
How it is sold
Directly, and scoped to your organisation. There is no self-service signup, no public sandbox and no trial link on this site. Access is provisioned to an organisation and administered inside it, with sign-in by a one-time code to a work address.
Tell us who you are and the first thing you would want to look up, and we will come back with what the current corpus can and cannot answer for that question.
Related
- Coverage — the seven agencies, the date range, the measured counts
- Data limits — the full specification of the boundaries
- Methodology — how a press release becomes a queryable row
- Sources — where the documents come from
- Security — architecture, access, and what we do not have
- Use cases — who reads this and what they read