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HyperVerge

The vendor that made enterprise-grade security work for the mid-market— identity verification, fraud prevention and credit underwriting on one platform, built for Indian regulation from the start. This hub is your complete intel file.

4 intel pages insideSole pass — DHS RIVTD Track 2RBI, SEBI & IRDAI aligned

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Trusted by 500+ enterprises across India

The company, at a glance

OriginIIT Madras · Bangalore, India
LeadershipKedar Kulkarni, co-founder & CEO
Scale500+ enterprises (vendor figure)
RecognitionDHS RIVTD Track 2 — sole pass of 16
India3 offices; no residency statement

Quick answer

HyperVerge runs identity verification, fraud prevention and credit underwriting on one platform, HyperVerge ONE. It came out of the Computer Vision Group at IIT Madras and is built for Indian regulation — RBI, SEBI and IRDAI aligned workflows, Aadhaar eSign, Account Aggregator and UIDAI checks. In the US DHS RIVTD Track 2 assessment of August 2024 it was the only one of 16 systems to meet every selfie-to-ID benchmark. Quote-only, and no India residency statement is published. Read more ↓ Show less ↑
The portfolio

Four intel pages. One onboarding journey.

The complete HyperVerge platform — every linked card is a full intel page, from the endpoint to the world-leading MDR service.

The coreIntel page →

Onboarding & KYC

Get the customer through, and keep the regulator happy.

eKYC, face authentication, Video KYC and Know Your Business, with Aadhaar eSign, Account Aggregator and bank account verification alongside. The tension this line manages is real: every check you add lifts compliance and costs you customers at the drop-off point. The engineering that matters is the checks that pass first time on a mid-range phone over a patchy connection, not the ones that work in a demo.

eKYC · Video KYC · face auth · KYBExplore
DHS Track 2 — sole passIntel page →

Fraud Prevention

The deepfake arrived before the policy did.

DeepfakeSafe, face deduplication, document forgery checks, device intelligence and AML screening. This is where the DHS RIVTD Track 2 result matters: of 16 systems assessed on matching a selfie to an ID document and catching impostors, HyperVerge was the only one to meet every benchmark. Injection attacks and synthetic faces are now cheap to produce, which makes presentation-attack detection a moving target rather than a feature.

Deepfake · dedup · forgery · AMLExplore
Where India is differentIntel page →

Credit Underwriting

Score the borrower the bureau cannot see.

Underwriting AI, Docs AI, Shopfront AI and Account-Aggregator-based income validation. The problem it addresses is specifically Indian: a large share of creditworthy borrowers have thin or no bureau history, so the decision has to come from bank statements, documents and business signals instead. Shopfront AI assesses a small business from photographs of its premises, which sounds odd until you have tried to underwrite a kirana store.

Underwriting AI · Docs AI · Shopfront AIExplore

HyperVerge ONE — the platform, not a fourth product

Platform & engine

HyperVerge ONE is the workflow layer the three lines run on: a no-code journey builder for assembling onboarding flows, the orchestration between checks, and the analytics over what is passing and failing. It is not sold as a separate thing, so it gets no page here. What it is worth asking about during scoping is who owns journey changes after go-live — onboarding flows get edited constantly as drop-off data arrives and regulation moves, and whether your team can make those changes without a vendor ticket is a real operational difference that never appears in a licence quote.

The sixteen names in their navigation, and why this hub shows three

Platform & engine

HyperVerge's site lists around sixteen items — Identity Verification, Face Authentication, Video KYC, OCR Software, Know Your Business, Anti-Money Laundering, Underwriting AI, Deepfake Detection, Document Verification, Fraud Detection, Bank Account Verification, Aadhaar eSign, Account Aggregator, Wet Signature and more. Their own India page groups these into three suites, which is the structure this hub follows, because the individual items are capabilities within a suite rather than separately licensed products. Ask which specific checks your quote covers: the suite name will not tell you, and per-verification pricing usually varies by check type.

The thesis

Why “MDR and integration” is the whole story

Point tools from different vendors don’t talk, and most mid-sized organisations can’t staff a HyperVerge started as a computer-vision lab at IIT Madras — face recognition, document intelligence and liveness — and the India-first build doubled down on it.

01
The origin advantage

Built for Indian regulation, not adapted to it

RBI, SEBI and IRDAI aligned workflows, Aadhaar eSign, Account Aggregator, UIDAI and GST verification are native rather than bolted on. A global vendor configures its way toward these; this one started here.

02
How to read the evidence

Benchmarks instead of analyst quadrants

No Gartner MQ or Forrester Wave names HyperVerge. What exists is stronger for this category: the DHS RIVTD Track 2 result and iBeta Level 2 liveness certification are measured outcomes, not positioning.

03
The real cost line

The drop-off tax nobody quotes

Every additional check raises compliance and loses customers mid-journey. The number that decides ROI is completion rate on a mid-range phone and a poor connection — ask for it by device tier, not as an average.

04
Where the value compounds

One platform, three lines

Identity, fraud signals and underwriting inputs on one journey means a fraud signal at onboarding informs the credit decision. Run separately, each line re-collects what the others already know.

Start with the line that is losing you money; all three run on the same onboarding journey.

The trophy wall

Peer & market recognition

Every claim on this hub traces to one of these public signals.

DHS S&T 2024

Sole pass, RIVTD Track 2

1 of 16 systems, selfie-to-ID match

NIST FRVT

Consistently top-rated

face recognition benchmarks

iBeta / ISO

30107-3 Level 2

presentation attack detection

Global Fintech Fest

Best-in-Class RegTech

2022 and 2024

Origin

IIT Madras

Computer Vision Group, 2009

India customers

Jio, WazirX, IndMoney

L&T Finance, MPL, KarmaLife

Analyst reports

None claimed

no Gartner MQ or Forrester Wave

Honest gap

No residency statement

India origin is not a storage commitment

By the numbers

The company in six figures

1 of 16 systems
the only one to meet ALL DHS RIVTD Track 2 benchmarks
DHS S&T
3 suites
onboarding and KYC, fraud prevention, credit underwriting
Vendor
2009
origin — the IIT Madras Computer Vision Group
Vendor
3 India offices
Bangalore, Mumbai and Coimbatore
Vendor
0 analyst placements
the technical benchmarks are the evidence instead
TechBag
0 published prices
quote-only; per-verification pricing varies by check
TechBag

See the platform, hear the pitch

HyperVerge (official)·Customer

Jio + HyperVerge Case Study

Onboarding at the scale of a national telco.

HyperVerge (official)·Benchmarks

Acing NIST — the Olympics of Face Recognition

How the face-recognition benchmarks work.

HyperVerge (official)·Webinar

60+ Days of Video KYC (with Microsoft)

What Video KYC looked like in practice.

The market maps

Where HyperVerge sits — the grids

Two company-level views you won’t find on any vendor site — tap any dot for the rationale. The category-level grid lives on the product page.

Grid 01 · The portfolio

HyperVerge Across Its Solution Areas

Each dot is a HyperVerge solution area: competitive position vs category momentum.

Emerging betsCrown jewelsSteady nicheAnchor strengths
Onboarding & KYCHyperVerge

The core line, built around Indian regulation.

Grid 02 · The industry

HyperVerge Across Its Suites

Depth within each suite vs how much it reuses the shared onboarding journey.

Focused specialistsDeep & broadPoint toolsBroad but shallow
HyperVergeHyperVerge

India-origin; DHS Track 2 sole pass.

Positions are TechBag’s illustrative synthesis of public review-platform standings and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.

Track 01 · Beginner guides

New to this? Learn it properly.

Zero-jargon starting points, in reading order. Each links into the deep education on the product page.

Interactive · 30 seconds

Where should you start with HyperVerge?

Answer three questions; we’ll point you at the right starting product. No email required — this isn’t that kind of quiz.

1. What is forcing the decision?

2. Where does the pain sit today?

3. What is the regulatory context?

The acronym decoder

Every term on these pages, in one place
HyperVerge
An India-origin identity verification company from the IIT Madras Computer Vision Group, running KYC, fraud prevention and credit underwriting on one platform.
HyperVerge ONE
The platform layer: a no-code journey builder, orchestration between checks and analytics on pass and fail rates. Not a separately sold product.
eKYC
Electronic Know Your Customer — verifying identity digitally rather than over a counter. In India this typically means Aadhaar, PAN and CKYC checks.
Video KYC
An RBI-permitted process where a live video session with a customer completes verification. Formally V-CIP, Video-based Customer Identification Process.
Liveness detection
Proving the face in front of the camera is a live person, not a photo, mask, replay or generated video. Certified against ISO 30107-3.
DHS RIVTD
Remote Identity Validation Technology Demonstration — a US Department of Homeland Security assessment. Track 2 tested selfie-to-ID-document matching.
Account Aggregator
India's consent-based financial data sharing framework, letting a borrower share bank statements with a lender without sending files by email.
Presentation attack
Any attempt to fool a biometric check with an artefact — a printed photo, a screen replay, a silicone mask, or now a real-time deepfake.
Thin-file borrower
Someone with little or no credit bureau history. Common in India, and the reason alternative underwriting signals exist at all.
Track 02 · Buying guides

Buy it like you’ve done this before

The procurement playbook TechBag runs with IT buyers — steps, licensing cheat-sheet, and the pitfalls that cost quarters.

01

Get your current completion rate

By device tier and connection quality, not as an average. Without that baseline you cannot tell whether any of this worked, and the average hides exactly the users you are losing.

02

Name which checks you actually need

Sixteen capability names sit inside three suites. Compliance requires some; the rest are conversion or fraud choices. Each one you add costs completions.

03

Ask where the data is stored

No India residency statement is published. The IIT Madras origin and RBI-aligned workflows do not answer this question. Get it in writing before signature.

04

Test on real Indian devices

A mid-range Android on a weak connection in poor light is the actual deployment. Pilot there, not on the demo handset, because that is where completion is won or lost.

05

Settle who edits the journey

Onboarding flows change constantly as drop-off data arrives. Whether your team can change them without a vendor ticket is an operational difference no licence quote mentions.

06

Get the quote — pricing is per verification

There is no list price, and per-verification cost usually varies by check type. TechBag scopes the check mix against your volumes and quotes in INR with GST.

The licensing cheat-sheet

ProductLicensing modelHow you enterBest for
Onboarding & KYCQuote-only — per verificationeKYC, Video KYC, face auth, KYBConvert more without failing compliance
Fraud PreventionQuote-only — per checkDeepfake, dedup, forgery, AMLStop what a document check misses
Credit UnderwritingQuote-only — scoped by volumeUnderwriting AI, Docs AI, Shopfront AILend to thin-file borrowers safely

Per-user/device plus appliances and MDR service — TechBag models the mix (managed vs self-managed) for your size.

Five pitfalls that cost buyers quarters

1

Assuming India residency from an India origin

HyperVerge came out of IIT Madras, has Bangalore, Mumbai and Coimbatore offices, and speaks fluent RBI, SEBI and IRDAI. All real — and none of it says where your customer data is stored. No such statement is published anywhere on their site. If in-country storage is a requirement, and for RBI-regulated payment data it is a legal one, get the answer in writing rather than inferring it from a founding story.

2

Buying checks without measuring drop-off

Every verification step raises compliance and loses customers. Organisations add checks to satisfy a risk committee, then discover months later that completion fell by a figure nobody was tracking, on devices nobody tested. Establish the baseline by device tier before you change anything, then measure per check. TechBag would rather scope a smaller check set that gets completed than a thorough one that quietly costs you a third of your funnel.

3

Reading the sixteen product names as sixteen products

The site lists Identity Verification, OCR Software, Deepfake Detection, Wet Signature and a dozen more. Their own India page groups these into three suites, and the individual items are capabilities within them, not separately licensed products. Commercially that means the suite name in your quote will not tell you which checks you pay for, and per-verification pricing varies by check type. Get the list written in.

4

Expecting an analyst report that does not exist

No Gartner Magic Quadrant, Forrester Wave or IDC MarketScape names HyperVerge, and anyone selling it to you should say so rather than gesture at generic recognition. For identity verification the technical benchmarks are better evidence anyway: the DHS RIVTD Track 2 result and iBeta ISO 30107-3 Level 2 certification are measured outcomes on a defined test, which tells you more about whether a deepfake gets through.

5

Testing liveness once and considering it solved

Presentation attacks move faster than almost anything else in security. Real-time face swaps are cheap, injection attacks bypass the camera entirely, and a liveness model that was excellent eighteen months ago may not be today. Certifications are point-in-time results against a defined protocol, not a guarantee. Ask about retraining cadence and injection handling — those answers age better than the badge.

Skip the homework entirely

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FAQ

Questions buyers ask about HyperVerge

HyperVerge is an identity verification company that runs KYC and onboarding, fraud prevention and credit underwriting on one platform called HyperVerge ONE. It originated as the Computer Vision Group at IIT Madras and was incorporated around 2014, with India offices in Bangalore, Mumbai and Coimbatore alongside Palo Alto, New York, Singapore, Ho Chi Minh City and Jakarta. Kedar Kulkarni is co-founder and Chief Executive Officer. The company states more than 500 enterprise customers and over 2 billion identity verifications processed; named India customers appearing in its own customer-story material include Jio, WazirX, IndMoney, L&T Finance, MPL and KarmaLife. TechBag scopes it and quotes in INR with GST.

Ready to shortlist HyperVerge?

Open any of the four intel pages for the deep dive, or let a TechBag advisor build the case with you — check-mix scoping, the India data question, quotes, trials, GST invoicing and lifecycle support included.

Stats, positions and figures are illustrative syntheses of public materials; verify before purchase.