HyperVerge

HyperVerge markets HyperVerge ONE, a no-code onboarding workflow builder, analytics, and 100+ APIs/integrations across identity verification, face authentication, Video KYC, OCR, KYB, AML, bank-account verification, eSign, underwriting and related checks. It positions logistics and ecommerce for instant delivery-partner onboarding and impersonation prevention.

The India page presents current identity/KYC, Video Verification, KYB, digital signatures, AML, Underwriting AI, Docs AI and Shopfront AI. It claims 500+ enterprises, 2B+ identity verifications and millions of daily checks; Shopfront AI confirms business address, signage and inventory from a photo.

HyperVerge says it originated in the IIT Madras Computer Vision Group and names co-founders Kedar Kulkarni, Kishore Natarajan, Vignesh Krishnakumar and Praveen Kumar. Kedar is CEO, Vignesh CTO, and the company says it reached $19M+ ARR after raising $1.1M. Its timeline claims 1B+ identities and 200+ customers in 2024, while another section says 900M users.

The official profile classifies HyperVerge as privately held, founded in 2014, with a 51–200 employee size band. It lists Palo Alto as headquarters while its About text describes Bangalore headquarters and offices in India, Southeast Asia and the US; the band and locations are platform-entered rather than audited.

Public packaging is Start, Grow and Enterprise across regional tabs. Start includes a one-month sandbox/free trial and 14-day data retention; Grow adds end-to-end identity verification, central database, AML and custom workflows; Enterprise uses custom pricing and dedicated support. Unit pricing is volume based and numeric production prices are not disclosed.

The policy names HyperVerge Inc. and group company HyperVerge Technologies Private Limited. It describes document authenticity, biometric comparison, database/AML/adverse-media and prior-engagement fraud checks. Service Results can contain confidence scores, recommendations and reasons; the client independently decides whether to proceed, and HyperVerge disclaims credit or similarly significant decisions on the client's behalf.

The current product combines database checks, OCR, biometric/liveness, forgery/deep-image/face-deduplication, quality and AML checks with journey analytics. Vendor benchmarks include three-second verification, 95% pass-through and 99% OCR precision across 190+ countries.

Passive liveness and face match authenticate users for onboarding or later transactions. The page claims 0.2-second authentication, 95% straight-through processing, 50% lower drop-off and twice the fraud caught; it recommends fixed confidence thresholds rather than exposing a merchant-configurable threshold.

HyperVerge offers agent-led and agentless Video KYC with PAN/Aadhaar/CKYC prechecks, queueing and scheduling, random-code video verification, document capture, liveness/deepfake/face match, logs and audit. It also documents WhatsApp/SMS nudges, progressive dialing and automatic approval of a correctly read Video OTP; broader KYC approval remains client controlled.

The AML product screens sanctions, PEP and adverse-media sources across 195+ countries, applies configurable filters and risk assessments, refreshes profiles, schedules ongoing screening and sends automatic alerts into a review dashboard. It supplies matches and risk signals rather than filing reports or making the customer's compliance decision.

Fraud modules check document forgery, manipulated images, known/duplicate faces, liveness and face match at registration, login or transaction. They produce fraud checks/signals that customers can route into configured accept, reject or review flows.

The current use case detects deepfake faces, video injection and synthetic identities during onboarding, authentication and transactions. It explicitly identifies ecommerce refund fraud and fake sellers, drivers and users as applicable threats, while not documenting refund, order or payment execution.

The marketplace advertises 100+ integrations across identity extraction/database checks, biometric validation, digital KYC, bank-account verification, AML, financial/background checks, autopayments, eSign, authentication, geolocation and KYB. Visible modules include DigiLocker, Aadhaar/Voter/Passport OCR, KYC Record search/download, liveness, face match and AML screening.

The live hub resolves to 18 distinct canonical case pages, with WazirX duplicated as a card and L&T Finance represented by two materially distinct workflows. It also contains named qualitative testimonials from FE Credit, Jio and CIMB Vietnam. Hub aggregate claims of 850M users and 100+ businesses conflict with newer company surfaces.

The live canonical case identifies KarmaLife as a HyperVerge customer. The retained page/hub surface did not expose a reliable quantitative outcome body, so the case is normalized qualitatively.

True Balance COO Souparno Bagchi reports 100,000+ applications per day, 40–45% lower processing time, a sub-three-minute happy-path Video KYC and a sub-five-minute overall loan journey. The page also gives growth and borrower-coverage context not attributable solely to HyperVerge.

Flip reports reducing false acceptance from 40–45% to essentially zero, about 0.5% false rejection, onboarding 100,000–150,000 users per month, 98% SLA attainment within 30 minutes and liveness under five seconds. Copy alternates between a potential and realized 3–4% verification/conversion increase.

Dhan's vendor case reports 100% rejection of fraudulent attempts, ten-minute onboarding and 98–99% reliability, alongside a 500,000+ active-user context claim.

Oona reports implementation in two months, processing time from 20 minutes to under five, onboarding from three–five days to under one day, 40% higher activation, 70% lower application-completion time and 90% fewer data errors. A quote reframes the last figure as a 90% accuracy increase. Auto-adjudication is described as future work.

Angel One describes using OCR, liveness, face match and Penny Drop for compliant onboarding and reports lower turnaround and latency while expanding toward tier-two and tier-three markets, but the page exposes no reliable quantified product outcome.

The OCR deployment reports 70% straight-through processing, 50% lower operational cost and 90%+ accuracy. It is one of two distinct L&T Finance case pages and is not double-counted with the broader onboarding deployment.

PDAX reports ID validation in 3.59 seconds, liveness in 1.13 seconds and face match in 0.97 seconds.

The broader L&T Finance deployment reports five-minute end-to-end consumer-loan turnaround, 45-second micro-loan turnaround, 30-second two-wheeler-loan turnaround and less than 0.5% false-match likelihood. A Tamil Nadu ration-card workflow is described as a limited successful pilot.

Home Credit reports at least 50% lower errors, errors reaching 5%, at least one-third lower application-processing time, 33% faster merchant/dealer onboarding, 100% uptime and a 200-applications-per-minute peak test. The page also says 80% of the process is automatic and 20% requires agent intervention.

Freo/MoneyTap describes using HyperVerge to reduce fraud and reports greater than 99% collections. The collections measure is a lending-business outcome without a disclosed causal design, baseline or formula and is not treated as a verification-only effect.

Ahamove reports reducing verification from 12 hours to under five minutes and onboarding batches described as 1,000–10,000 customers at a time.

INDmoney reports a nine-day concept-to-live implementation, 80% automated workload with 20% manual review, and fourfold business growth after deployment. The growth attribution is not isolated to HyperVerge.

ZestMoney reports reducing KYC from ten minutes to under ten seconds, with 70% automated and 30% manual review. A 300% transaction upsurge in 2021 is business context with under-specified attribution.

Avail Finance reports KYC falling from two–three hours to under one second and 3.5 million documents digitized within hours. Other body wording references a 48–64-hour activation queue and roughly five minutes of manual checking, so the baseline scope is contradictory.

WazirX reports ten million users onboarded with HyperVerge and a peak of 30,000 KYC checks per day. Duplicate cards on the customer hub resolve to this single canonical case.

MPL reports a 30% accuracy improvement and throughput above 700 KYC checks per minute, with more than 90 million users as customer context. The page does not state whether 30% means relative change or percentage points.

slice describes reliable scaled onboarding without escalations and gives customer context of five million users as of October 2021 and a 150 million-person target market. No quantified HyperVerge outcome is isolated, so the case is qualitative.

The official historical account says the team incorporated a private limited company in India in December 2013 and describes its roughly one-million-dollar seed fundraising journey. Current total raised is more clearly stated as $1.1M on the About page.

The marketplace solution supports participant registration, KYC/KYB, AML and fraud controls for compliant marketplace operations. It verifies entities and users but does not publish or manage marketplace product listings or orders.

The US surface automates intake from inbox to CRM records, classifies businesses, analyzes bank statements and background reports, and routes decision-ready information. It explicitly says underwriting teams retain credit decisions and can choose what is automated versus a human call.