The Science of Identity
The scientific core of every deployment — AI, computer vision, biometrics, authentication, trust and the cryptographic foundations that make identity decisions intelligent, accurate and secure.
AI & Machine Learning
Intelligent systems that learn, adapt and improve identity decisioning.
Overview
Mantra builds intelligent systems that continuously learn and improve — powering verification, fraud detection and real-time decisioning. Models are trained on real-world identity data and governed end-to-end by an MLOps and Responsible-AI backbone.
Core Technologies
Key Capabilities
- Deep Learning at the Core Convolutional and transformer architectures purpose-built for biometric and document recognition.
- Decision Intelligence Risk, behavioural and predictive analytics turn raw signals into explainable, auditable decisions.
- Knowledge Graphs Graph reasoning links identities, devices and signals for richer context.
Generative AI
Multimodal generative AI that turns knowledge into intelligent experiences.
Overview
A generative-AI stack built for identity — LLMs, SLMs and vision-language models with retrieval-augmented generation, grounded in enterprise knowledge and governed for accuracy, privacy and safety.
Core Technologies
Key Capabilities
- Foundation & Language Models LLMs, SLMs and domain-tuned models for identity and document understanding.
- Retrieval-Augmented Generation Grounds answers in enterprise knowledge for accurate, citable responses.
- Multimodal Understanding Joint reasoning over images, documents, text and video.
Agentic AI & Autonomous Systems
Autonomous AI agents that reason, plan and execute identity workflows.
Overview
Agentic Identity Systems: multi-agent architectures that plan, reason, use tools and act — with human-in-the-loop controls and full AgentOps governance for safe, auditable autonomy.
Core Technologies
Key Capabilities
- Multi-Agent Orchestration A supervisor coordinates specialised agents across a workflow.
- Planning & Reasoning Agents decompose goals, call tools and adapt to outcomes.
- Memory & Tool Use Persistent memory and tool/API calling for real actions.
Computer Vision & Document Intelligence
Seeing, reading and verifying identity from faces, documents and video.
Overview
Our computer-vision stack combines deep face recognition, passive and active liveness, and intelligent OCR with state-of-the-art presentation-attack and deepfake detection.
Core Technologies
Key Capabilities
- Face Recognition & Search CNN embeddings power 1:1 authentication and 1:N search across 1B+ records.
- Liveness & PAD Passive and active liveness with ISO 30107-3 presentation-attack detection.
- Deepfake Detection Defends remote channels against synthetic and replayed media.
Biometric Intelligence
Recognising people accurately and fairly at population scale.
Overview
The science of biometric recognition — multi-modal biometrics, fusion and deduplication engineered for national identity programmes and ABIS-grade workloads.
Core Technologies
Key Capabilities
- Multi-modal Fusion Score- and feature-level fusion of face, fingerprint and iris for lower error rates.
- 1:N Identification ANN-indexed search and deduplication at 1B+ enrollment scale.
- Template Protection Cancelable templates and quality assessment protect and standardise data.
Authentication & MFA
Passwordless, FIDO2, biometric and adaptive multi-factor authentication.
Overview
A complete authentication stack from OTP and push to FIDO2/WebAuthn passkeys and biometric factors — with risk-based adaptive MFA that escalates assurance only when signals warrant it.
Core Technologies
Key Capabilities
- Passwordless & FIDO2 Standards-based passkey authentication with hardware security key and platform authenticator support — phishing-resistant by design.
- Multi-Factor Authentication TOTP, HOTP, push, biometric and out-of-band OTP factors — layered assurance across every surface.
- Adaptive & Risk-Based Step-up authentication driven by real-time risk signals — device, location, behaviour and identity confidence.
Identity & Access Management
IAM, CIAM, access governance, SSO, RBAC, ABAC and privileged access.
Overview
A complete IAM and CIAM stack: role- and attribute-based access control, privileged access management, SSO federation and identity governance — aligned to zero-trust principles and open standards.
Core Technologies
Key Capabilities
- IAM & CIAM Workforce IAM and customer identity (CIAM) with consent, preferences and progressive profiling.
- Access Governance Entitlement reviews, segregation of duties and policy-based access control.
- RBAC & ABAC Role-based and attribute-based policies with dynamic, context-aware enforcement.
Identity Intelligence
Resolving and correlating identity across systems and signals.
Overview
Turning identity signals into resolution, correlation and lifecycle insight through identity graphs and entity resolution — the connective intelligence across the identity stack.
Core Technologies
Key Capabilities
- Identity Resolution Resolve and correlate identities across systems with identity graphs.
- Entity Resolution Unify fragmented records into a single trusted identity.
- Consent Management Auditable, revocable consent across services.
Trust & Fraud Intelligence
AI-powered fraud management, risk scoring and financial crime prevention.
Overview
An end-to-end fraud management and trust intelligence layer — synthetic-identity detection, behavioural biometrics, device intelligence, transaction monitoring and case management — purpose-built for BFSI and government disbursement.
Core Technologies
Key Capabilities
- Fraud Management Platform End-to-end fraud orchestration: rules engine, ML scoring, case management and watchlist screening in one unified platform.
- Synthetic Identity & AML Detect fabricated identities, mule accounts and AML-flagged patterns at onboarding and transaction time.
- Behavioural Biometrics Continuous authentication from keystroke dynamics, touch patterns and interaction signals — invisible to the user.
Data Intelligence
Turning identity data into analytics, graphs and operational insight.
Overview
A data-intelligence layer — feature engineering, identity graphs, entity resolution and population analytics — that powers smarter models and sharper operations.
Core Technologies
Key Capabilities
- Identity & Graph Analytics Identity graphs and entity resolution at population scale.
- Feature Engineering High-quality features that power every downstream model.
- Population Analytics Insight into enrolment, coverage and programme health.
Security & Trust Engineering
Cryptography, zero trust, data protection and confidential computing.
Overview
End-to-end security engineering: PKI, HSM, confidential computing, data tokenisation and masking, identity threat detection and secrets management — security by architecture, not afterthought.
Core Technologies
Key Capabilities
- Cryptography & PKI End-to-end encryption, digital signatures and HSM-backed key lifecycle management.
- Zero Trust Architecture Never trust, always verify — micro-segmentation, mTLS and policy-based access across every service.
- Data Protection Tokenisation, data masking, classification, DLP and encryption at rest, in transit and in use.
Governance, Risk & Compliance
GRC frameworks, regulatory compliance and continuous audit readiness.
Overview
GRC built into the architecture: governance frameworks, risk management, continuous controls monitoring and compliance automation — spanning ISO 27001, GDPR, DPDP, SOC 2, NIST RMF and identity-specific standards.
Core Technologies
Key Capabilities
- Governance Frameworks Governance, policy enforcement and board-level reporting across identity infrastructure and data-processing activities.
- Risk Management NIST RMF and ISO 31000-aligned risk assessment, treatment and continuous monitoring.
- Regulatory Compliance ISO 27001, ISO 27701, GDPR, DPDP Act, PDPA, SOC 2 Type II, PCI-DSS — mapped to architecture controls with automated evidence.
Digital Identity Infrastructure
Standards-based building blocks for national & enterprise identity.
Overview
Vendor-neutral digital identity infrastructure — registries, verification platforms, verifiable credentials, digital wallets, eSign and trust registries — the generic building blocks behind Aadhaar-class, MOSIP and DPI deployments.
Core Technologies
Key Capabilities
- Identity Registries Foundational registries for citizens and entities.
- Verifiable Credentials & Wallets W3C VC issuance and verification with offline-capable citizen wallets.
- Digital Signatures & eSign Legally-valid electronic signing integrated with PKI and national identity.
Compliance & Standards Reference
The full compliance and standards landscape for identity deployments.
Overview
A reference domain consolidating all the standards, certifications and regulatory frameworks Mantra designs to — covering identity protocols, security, biometrics and privacy, for government and enterprise.
Core Technologies
Key Capabilities
- Identity Protocols FIDO2, WebAuthn, OAuth 2.0, OpenID Connect, SAML 2.0, SCIM — the open standards behind every authentication surface.
- Security Standards ISO 27001, ISO 27701, SOC 2, NIST CSF/RMF, FIPS 140-2 — the security frameworks for platform and data.
- Biometric Standards ISO 30107 (liveness/PAD), ISO/IEC 19794 (biometric data), STQC, NIST FRVT, UIDAI RD, FIDO Biometrics.
Build with Core Technologies
Talk to our engineering and research teams about applying these capabilities to your country programme, enterprise platform or fintech stack.