Data Sutram

Data Sutram is a Mumbai-based regulatory technology startup founded in 2019 by Rajit Bhattacharya, Ankit Das, and Aisik Paul, who met as engineering students at Jadavpur University.

Reviewed by 7wData
Share Email

On this page

Profile

AI platform that helps banks detect fraud by analyzing customers' digital footprints outside their own systems.

Data Sutram is a Mumbai-based regulatory technology startup founded in 2019 by Rajit Bhattacharya, Ankit Das, and Aisik Paul, who met as engineering students at Jadavpur University. The company specializes in AI-powered fraud detection and compliance solutions, primarily serving financial institutions. Its platform processes over 110 million individual identities to generate real-time risk assessments through a proprietary 'Trust Score,' which evaluates digital footprints across sources like government records, telecom data, and ecommerce activity.

In May 2025, Data Sutram raised $9M in Series A funding co-led by B Capital and Lightspeed to expand into insurance, gaming, and crypto sectors while scaling internationally. The startup differentiates itself by aggregating external behavioral data beyond traditional banking parameters, helping clients detect synthetic identities and collusion patterns. While its technology is already deployed by several Indian banks and NBFCs, the company faces scaling challenges as it moves into new verticals and geographies with stricter data regulations.

Track Data Sutram and 240+ vendors.

48k+ subscribers read the daily AI & data note. One email, both newsletters. Unsubscribe anytime.

Who buys this

  • Commercial banks and NBFCs
  • Fintech lenders
  • Insurance providers
  • Cryptocurrency exchanges
  • Online gaming platforms

Strengths and what to watch

Strengths

  • Proprietary Trust Score algorithm analyzing 110M+ identities in real-time
  • Early traction with major Indian financial institutions as enterprise clients
  • Co-led Series A by tier-1 VCs B Capital and Lightspeed in 2025

Watch for

  • Regulatory scrutiny as it expands into crypto/gaming sectors with higher fraud risks
  • Dependence on third-party data partnerships that may face privacy law changes
  • Unproven international expansion beyond Indian market dominance

Key Information

Founded
2019
Headquarters
Mumbai, India

Frequently Asked Questions

What is Data Sutram and what does it do?

Data Sutram is a Mumbai-based AI startup founded in 2019 that helps banks detect fraud. Its platform analyzes customers' digital footprints across 110M+ identities, generating real-time risk assessments through a proprietary Trust Score that evaluates telecom, ecommerce, and government data beyond traditional banking parameters.

How does Data Sutram's Trust Score work for fraud detection?

The Trust Score algorithm analyzes behavioral data from external sources like telecom records, government databases, and ecommerce activity. This helps financial institutions detect synthetic identities and collusion patterns by evaluating digital footprints that traditional banking systems miss, processing assessments in real-time.

Which industries use Data Sutram's fraud detection platform?

Primary clients include commercial banks, NBFCs, and fintech lenders in India. The 2025 Series A funding is expanding its reach into insurance providers, cryptocurrency exchanges, and online gaming platforms—sectors with high fraud risks needing advanced detection beyond basic KYC checks.

Who invested in Data Sutram's Series A funding round?

In May 2025, Data Sutram raised $9M in Series A funding co-led by B Capital and Lightspeed. The investment aims to support international expansion and vertical growth into crypto, gaming, and insurance markets while scaling its AI fraud detection technology.

What are the risks facing Data Sutram as it expands?

Key challenges include navigating stricter data regulations in new markets, dependence on third-party data partnerships vulnerable to privacy law changes, and unproven traction beyond India. Expansion into crypto and gaming also brings higher regulatory scrutiny due to elevated fraud risks in those sectors.

How is Data Sutram different from traditional fraud detection systems?

Unlike systems relying solely on internal banking data, Data Sutram aggregates external digital footprints—analyzing telecom, ecommerce, and government records to detect synthetic identities and collusion patterns. This broader behavioral analysis helps catch sophisticated fraud that traditional parameters might miss.

Sources

  1. yourstory.com — $9M Series A funding and product details
  2. yourstory.com — Founding story and team background
  3. inc42.com — Early funding context
  4. www.livemint.com — Market context on India's data sovereignty debates