CEO & Founder
Ansari Sohel
Ansari Sohel is the CEO & Founder of Praman Labs. He sets the company direction and keeps the work tied to the question the product is built around: who is really behind a financial application?
Praman Labs verifies the person behind the application.
Praman Labs is a financial identity-risk platform for institutions that need to know whether a genuine, independent, economically active person controls a financial application.
The company is built around personhood risk.
Documents can be valid while control of the application sits somewhere else.
Praman Labs is a financial identity-risk platform built for lenders, banks, insurers, payment aggregators, brokers and AMCs. The product verifies whether a real, independent, economically active person controls a financial application, instead of relying only on valid documents.
Its modules include Personhood Score, Cluster Intelligence, V-CIP Integrity, Sleeper Watch and Workbench. Together, they detect synthetic applicants, identity farms, fraud rings, generated video, virtual-camera attacks and post-onboarding risk.
The site also offers backtesting, privacy architecture, governance, research and industry-specific solution pages, positioning Praman Labs as a RegTech and fraud-prevention partner for financial institutions across regulated Indian markets.
Company snapshot.
The current public profile describes an active private company headquartered in Gujarat.
Sep 30, 2025
Founded
Praman Labs is an active private, for profit company headquartered in Surat, Gujarat, India.
Pre-Seed
Stage
The company is at pre-seed stage with a 1-10 person team focused on application-time financial identity risk.
Financial Services
Market
Praman Labs serves lenders, banks, insurers, payment aggregators, brokers and AMCs across regulated Indian financial markets.
pramanlabs.com
Website
The public site explains the product modules, research position, privacy architecture and industry-specific deployment pages.
Funding record.
Praman Labs has raised $450K across 1 listed funding round.
$450K
Total funding
Praman Labs has one listed funding round: a pre-seed round announced on Jan 8, 2026.
Pre-Seed
Funding type
The round supports early product, research and go-to-market work for regulated financial identity-risk teams.
1
Funding rounds
The current public company record lists 1 funding round for Praman Labs.
Crunchbase
Company profile
The external company profile carries the funding, headcount and market-intelligence record supplied for this update.
Meet the team.
A small team, with Ansari Sohel responsible for the company and Amaan Raza responsible for the technology.
CTO
Amaan Raza
Amaan Raza is the CTO of Praman Labs. He owns the technical side of the product: the scoring systems, evidence records and deployment patterns that make the risk signal usable for financial institutions.
What we believe.
These are product positions that affect thresholds, deployment and what we are willing to claim.
Validity is not control.
A PAN, Aadhaar record and face match can all be valid while another person controls the application and the account that follows.
Thin is not false.
A first-time borrower with little bureau history should not be treated like an identity assembled for fraud. Contradiction and absence are different signals.
The useful test happens before procurement.
A risk team should be able to test the claim on its own historical applications before committing engineering time or changing a credit policy.
Privacy architecture is part of model quality.
Institutions will not pool customer identity records, and they should not have to. Cross-member learning must work without building a central customer database.
How we work with institutions.
Evidence, authority and accountability stay visible from the first backtest through any later operational use.
Evidence before authority.
Backtests and shadow mode come before a score changes an application outcome. The institution reviews the results and decides when, where and whether to grant decision authority.
Institutional control.
Each institution owns its policy thresholds, review capacity, exception paths and the legal basis for its final decision. Praman Labs supplies evidence and versioned recommendations.
Claims with context.
Any performance figure must identify the cohort, outcome label, decision threshold and evaluation date. A result from one institution is not presented as a universal benchmark.
Assurance by scope.
Security and governance evidence is considered with its scope and date. A public description does not replace an institution's diligence or contractual controls.
Judge the argument on your own applications.
A backtest shows where the signal helps, where it misses and how much review capacity it requires before your team considers operational use.
Book a backtest