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.
Buy through TechBag
Same software. Better outcome — at a lower cost.
The company, at a glance
Quick answer
Three 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.
Onboarding & KYC
Get the customer through and the regulator happy.
eKYC, face authentication, Video KYC and KYB, with Aadhaar eSign, Account Aggregator and bank account verification alongside.
Fraud Prevention
The deepfake arrived before the policy did.
DeepfakeSafe, face dedup, forgery checks and AML screening; the only one of 16 systems to meet every DHS RIVTD Track 2 benchmark.
Credit Underwriting
Score the borrower the bureau cannot see.
Underwriting AI, Docs AI and Shopfront AI assess thin-file borrowers from bank statements, documents and photos of premises.
HyperVerge ONE, the platform
Platform & engineHyperVerge ONE is the no-code journey builder, orchestration and analytics under the three lines; not sold separately, so it has no page
The sixteen names, three suites
Platform & engineHyperVerge's site lists around sixteen checks, which its India page groups into three suites; ask which checks your quote covers
Why “the vision lab” is the whole story
Most identity fraud is caught, or missed, in the image: a face, a document, a liveness check. HyperVerge started as a computer-vision lab at IIT Madras — face recognition, document intelligence and liveness — and its India-first build doubled down on it.
Built for Indian regulation
RBI, SEBI and IRDAI aligned workflows, Aadhaar eSign, Account Aggregator, UIDAI and GST verification are native — a global vendor configures toward them.
Benchmarks, not quadrants
No Gartner MQ or Forrester Wave names HyperVerge; the DHS RIVTD Track 2 result and iBeta Level 2 liveness certification are measured outcomes instead.
The drop-off tax nobody quotes
Each extra check loses customers mid-journey. The ROI number is completion on a mid-range phone and a poor connection — ask for it by device tier.
One platform, three lines
Identity, fraud and underwriting on one journey, so an onboarding fraud signal informs the credit decision instead of each line re-collecting data.
Start with the line that is losing you money; all three run on the same onboarding journey.
Peer & market recognition
Every claim on this hub traces to one of these public signals.
Sole pass, RIVTD Track 2
1 of 16 systems, selfie-to-ID match
Consistently top-rated
face recognition benchmarks
30107-3 Level 2
presentation attack detection
Best-in-Class RegTech
2022 and 2024
IIT Madras
Computer Vision Group, 2009
Jio, WazirX, IndMoney
L&T Finance, MPL, KarmaLife
None claimed
no Gartner MQ or Forrester Wave
No residency statement
India origin is not a storage commitment
The company in six figures
See the platform, hear the pitch
Jio + HyperVerge Case Study
Onboarding at the scale of a national telco.
Acing NIST — the Olympics of Face Recognition
How the face-recognition benchmarks work.
60+ Days of Video KYC (with Microsoft)
What Video KYC looked like in practice.
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.
HyperVerge Across Its Solution Areas
Each dot is a HyperVerge solution area: competitive position vs category momentum.
The core line, built around Indian regulation.
HyperVerge Across Its Suites
Depth within each suite vs how much it reuses the shared onboarding journey.
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.
New to this? Learn it properly.
Zero-jargon starting points, in reading order. Each links into the deep education on the product page.
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?
Why completion rate decides the ROI
Every check you add lifts compliance and loses customers mid-journey. The number that matters is completion on a mid-range phone.
Read →What the DHS Track 2 result actually says
Sixteen systems assessed on matching a selfie to an ID document and catching impostors. One met every benchmark.
Read →Underwriting a borrower with no bureau file
Bank statements, documents and business signals instead of a credit score. The Indian lending problem in one sentence.
Read →Benchmarks are not analyst reports
No Gartner MQ or Forrester Wave names HyperVerge; for identity verification, measured benchmarks are better evidence.
Read →An India origin is not data residency
IIT Madras roots and RBI-aligned workflows are real. A commitment about where data is stored is not published. Ask.
Read →Which checks does your quote include?
Sixteen capability names, three suites, and per-verification pricing that varies by check type. Get the list written in.
Read →The acronym decoder
Every term on these pages, in one place- HyperVerge
- India-origin identity verification firm from IIT Madras: KYC, fraud prevention and underwriting on one platform.
- HyperVerge ONE
- The platform layer — no-code journey builder, check orchestration and pass/fail analytics; not sold separately.
- eKYC
- Electronic Know Your Customer — digital identity checks; in India, typically Aadhaar, PAN and CKYC.
- Video KYC
- RBI-permitted verification done over a live video session with the customer, formally called V-CIP.
- Liveness detection
- Proving the face on camera is a live person, not a photo, mask, replay or deepfake; certified against ISO 30107-3.
- DHS RIVTD
- A US Department of Homeland Security assessment; its Track 2 tested selfie-to-ID-document matching.
- Account Aggregator
- India’s consent-based framework for sharing financial data, such as bank statements with a lender.
- Presentation attack
- Fooling a biometric check with an artefact — a printed photo, screen replay, mask or real-time deepfake.
- Thin-file borrower
- Someone with little or no credit bureau history — common in India, and why alternative underwriting exists.
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.
Get your current completion rate
Measure it by device tier and connection, not as an average — the average hides the users you lose, and without a baseline nothing can be proven.
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.
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.
Test on real Indian devices
Pilot on a mid-range Android, a weak connection and poor light — the real deployment, where completion is won or lost.
Settle who edits the journey
Flows change as drop-off data arrives. Whether your team edits them without a vendor ticket is a real operational difference.
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
| Product | Licensing model | How you enter | Best for |
|---|---|---|---|
| Onboarding & KYC | Quote-only — per verification | eKYC, Video KYC, face auth, KYB | Convert more without failing compliance |
| Fraud Prevention | Quote-only — per check | Deepfake, dedup, forgery, AML | Stop what a document check misses |
| Credit Underwriting | Quote-only — scoped by volume | Underwriting AI, Docs AI, Shopfront AI | Lend to thin-file borrowers safely |
Quote-only and usage-based: per verification for KYC, per check for fraud, scoped by volume for underwriting — TechBag models the mix for your size and quotes in INR with GST.
Five pitfalls that cost buyers quarters
Assuming India residency from an India origin
An IIT Madras origin, India offices and fluent RBI, SEBI and IRDAI workflows say nothing about where data is stored, and HyperVerge publishes no such statement. If residency is required, get it in writing.
Buying checks without measuring drop-off
Each added check raises compliance and loses customers. Baseline completion by device tier first, then measure per check — a smaller set that gets completed beats a funnel quietly losing a third.
Reading the sixteen product names as sixteen products
The sixteen names are capabilities within three suites, not separate products. The suite name won’t show which checks you pay for, and pricing varies by check type — get the list written in.
Expecting an analyst report that does not exist
No Gartner, Forrester or IDC report names HyperVerge, and a seller should say so. The DHS RIVTD Track 2 result and iBeta ISO 30107-3 Level 2 certification are measured outcomes instead.
Testing liveness once and considering it solved
Presentation attacks move fast — cheap face swaps, injection attacks that bypass the camera. A certification is point-in-time; ask about retraining cadence and injection handling.
The evaluation kit
Each intel page carries an 8-question vendor checklist and a value calculator:
Skip the homework entirely
Bring your requirements and current tool bills — a TechBag advisor models the whole decision for you.
Book a discovery call →The forces shaping this market
Four trends with momentum scores (TechBag’s read of analyst and market signals) — and what each means for your next decision.
Category momentum — estimated market growth
Illustrative CAGR synthesis**Directionally consistent with public analyst forecasts; verify exact figures before quoting. The takeaway: deepfake detection compounds fastest — which is where the DHS Track 2 result matters most.
Deepfakes moved from demo to deployed
Real-time face swaps are cheap, and injection attacks bypass the camera entirely.
What it means for you
Liveness is a moving target: ask about retraining and injection handling, not just the badge.
Regulators want the audit trail, not the assurance
RBI, SEBI and IRDAI expectations increasingly turn on evidence you can produce.
What it means for you
Each verification must be reconstructable later — which check ran, its result, who reviewed it.
Alternative underwriting reaches the thin-file majority
A large share of creditworthy Indian borrowers have little or no bureau history.
What it means for you
Account Aggregator statements and business signals become decision inputs, widening who can borrow.
Completion rate is the metric that decides renewals
Compliance checks and conversion pull in opposite directions on every journey.
What it means for you
Measure completion on mid-range phones and weak connections, where most Indian users are.
Questions buyers ask about HyperVerge
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.