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Bengaluru

117, Sai Balaji Royal, 4th Cross,Royal County Layout, Near Hosa Road Metro,Parappana Agrahara, Electronics City,Bengaluru 560100, India
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Facial recognition

Identity & Verification

Sub-second face verification at NIST FRVT-grade accuracy, with passive liveness detection and privacy built into the architecture.

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99%+
Match accuracy on NIST FRVT-grade benchmarks
<1s
End-to-end verification latency
anti-spoof
Passive liveness blocks photo, replay, and mask attacks

overview

Deep convolutional and transformer-based recognition supporting 1:1 verification and 1:N identification, with passive liveness blocking photos, replays, masks, and deepfake injections.

The same engine powers digital onboarding, biometric access, attendance, CCTV watchlist matching, and in-app re-auth — one governed system, not a credential per use case.

99%+ true-accept rate at operational false-accept thresholds on NIST FRVT benchmarks. Models tuned to your camera hardware, lighting, and demographic distribution before go-live.

what we build

01

1:1 verification and 1:N identification at sub-second latency

02

Passive liveness: detects photos, replays, 3D masks, deepfake injection

03

Document-to-selfie onboarding with OCR and liveness-checked face comparison

04

Consent capture, template encryption, configurable retention, audit logging

05

Adaptive quality gating on resolution, blur, pose, and illumination before matching

how it works

From input to outcome.

  1. 01

    Capture

    Frame evaluated for resolution, pose, and illumination before processing.

  2. 02

    Liveness

    Passive texture, depth, and temporal models detect presentation attacks.

  3. 03

    Match

    Embedding compared against enrolled template or indexed population.

  4. 04

    Decide

    Accept/reject/escalate record with scores written to audit log.

use cases

Common applications.

01

Digital onboarding and identity verification

Selfie + document OCR + liveness check completes in seconds, no manual review.

02

Biometric access control

Face entry at building or secure zone; credential can't be shared or cloned.

03

Step-up re-authentication

Face challenge before high-risk in-app actions; reduces account takeover.

04

Tamper-proof workforce attendance

Biometric credential is inseparable from the person; proxy impossible.

05

Watchlist and VIP recognition

1:N matching alerts on persons of interest or recognizes VIP guests.

IndustriesFinanceHealthcareReal estate & facilities

composes with

Built to combine.

module

Attendance & Membership

Powers face-based check-in for workforces and members.

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module

Biometric Hardware

Runs on the same access control hardware fleet.

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module

CCTV & Surveillance

Real-time recognition and watchlist matching across feeds.

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Want identity & verification in your product?

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