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AI Native Biometric Intelligence

Continuous verification for every digital identity journey.

Mantra Cognitive Intelligence builds multimodal biometric AI for fingerprint, face, iris, palm, document and liveness verification across government, border, enterprise and embedded identity systems.

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Multi Fingerprint, face, iris and palm
AI Liveness and deepfake defense
API SDK-first integration
Scale Government and enterprise ready
Strategic segments

Built for identity programmes that cannot afford uncertainty.

The Mantra Cognitive Platform supports high assurance use cases where identity trust must be fast, measurable and resistant to fraud across both physical and remote channels.

Government identity biometric AI Segment 01
Government ID & public services

Enroll citizens, prevent duplicate identities, secure credential issuance and enable trusted access to public services.

Border control biometric verification Segment 02
Border control

Support passenger verification, watchlist checks and biometric matching across airports, ports and high security checkpoints.

Enterprise identity verification Segment 03
Enterprise IDV

Verify users, reduce fake accounts, secure account recovery and prevent identity fraud across digital onboarding journeys.

Forensic biometric investigation Segment 04
Forensic biometrics

Assist investigation teams with search, match, case comparison and traceable biometric intelligence workflows.

Platform layer

One intelligence layer. Multiple biometric signals.

Inspired by global biometric platform practices, cognitive intelligence combines recognition, liveness, document checks and identity decisioning in one API-friendly architecture.

01
Biometric Recognition

Fingerprint, face, iris and palm recognition for enrollment, authentication, border control and investigation workflows.

02
Liveness & Deepfake Defense

Detect spoofing, injection attacks, manipulated media and low trust biometric attempts before granting identity trust.

03
Document & NFC Checks

Verify document data, chip information and user presence for remote onboarding and regulated journeys.

04
Embedded SDKs & APIs

Bring biometric intelligence into applications, kiosks, edge devices, mobile apps and enterprise identity platforms.

Technology modules

Biometric AI mapped to real deployment needs.

The platform is designed for teams that need accuracy, flexible deployment, strong fraud detection and smooth integration across existing identity infrastructure.

Multimodal biometric recognition Recognition
Fingerprint, face, iris and palm

Use the right modality for the right context, from high assurance enrollment to frictionless remote verification.

ABIS search and match at scale ABIS
Search and match at scale

Enable high volume biometric search, deduplication and matching for government and investigation environments.

Fraud defense
Liveness detection

Detect spoof attempts before they reach the decision layer, including replay, presentation and manipulated media risks.

Documents
ID document verification

Support OCR, document authenticity checks and identity matching for compliant digital onboarding journeys.

NFC
Chip data verification

Validate chip-based identity evidence where secure document verification is required.

Embedded
Device-ready SDKs

Integrate biometric AI into mobile apps, hardware devices, enterprise portals and controlled access systems.

Use cases

From public infrastructure to enterprise onboarding.

Cognitive Intelligence helps organisations create a trusted link between a person, a credential, a device and a transaction.

Unified biometric identity layer
One biometric layer. Multiple assurance journeys.

Government ID, border control, law enforcement, banking, telecom, enterprise onboarding and embedded authentication can share one consistent verification architecture.

Banks and fintech

Customer onboarding, fraud prevention, liveness checks, face match, document verification and high-risk account recovery.

Telecom operators

Subscriber registration, SIM-swap risk reduction, remote verification and scalable identity assurance.

Digital platforms

Identity verification toolkit for apps, marketplaces, SaaS ecosystems and remote workforce platforms.

Government agencies

Identity enrollment, deduplication, credential issuance, service access and secure identity lifecycle operations.

Fast start checklist

How to plan the right biometric AI layer.

Before choosing a biometric verification platform, define the modality mix, transaction volume, risk model, integration path and deployment environment.

01
Define the identity journey

Separate enrollment, authentication, onboarding, recovery, investigation and continuous assurance use cases.

02
Select the modalities

Map fingerprint, face, iris, palm, document and NFC verification to the level of trust required.

03
Plan fraud controls

Include liveness, deepfake defense, injection attack checks and document authenticity in the workflow.

04
Confirm deployment model

Choose cloud, server, mobile, edge or embedded SDK deployment based on latency and control needs.

05
Integrate with existing systems

Connect the biometric layer to IAM, KYC, CRM, national ID, case management or transaction systems.

06
Measure performance

Track accuracy, false match risk, liveness outcomes, throughput, latency and manual review rates.

FAQ

Frequently asked questions.

Clear answers for teams evaluating biometric AI, identity verification, liveness detection and embedded biometric intelligence.

What does the Cognitive Intelligence do?

It builds multimodal biometric AI and identity verification capabilities across fingerprint, face, iris, palm, document and liveness intelligence.

How is this different from a single biometric product?

It is positioned as a platform layer that supports multiple biometric signals, fraud checks, document intelligence and deployment models from one architecture.

Which use cases are supported?

Government ID, border control, law enforcement, enterprise onboarding, banking, telecom, fraud prevention and embedded device verification are supported use cases.

Why is liveness detection important?

Liveness detection helps prevent fake faces, fake fingerprints, replay attacks, deepfakes and presentation attacks from passing identity verification.

Can the platform integrate with existing systems?

Yes. The concept is API-first and SDK-friendly so it can work with existing applications, devices, identity systems and enterprise workflows.

Get in touch

Build a smarter biometric identity layer.

Share your modality requirements, transaction volume, fraud risk, compliance needs and deployment environment. The Cognitive Intelligence BU can help map the right biometric AI architecture.

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