The Technology Behind
Trusted Identity
An AI-native, agentic foundation spanning machine learning, generative & autonomous AI, computer vision, biometric science, security engineering and digital-identity research — the engineering competencies beneath every Mantra identity solution.
One Integrated Platform Stack
From the solutions customers run, down to the research that powers them — every layer works as one.
From Science to Production
Twenty-eight technology domains across three layers — the scientific capabilities at the core, the engineering disciplines that operationalise them, and the research that pushes the frontier forward.
The Science of Identity
AI & ML, generative & agentic AI, computer vision, biometrics, authentication, IAM, identity intelligence, trust, fraud, GRC and digital identity infrastructure.
Explore CoreBuilt for National Scale
Platform, cloud, distributed systems, full stack, AI, edge, integration and reliability engineering — how we ship identity at population scale.
Explore EngineeringAdvancing the Frontier
Intelligent identity systems, generative AI research, agentic AI research, trusted biometrics, future identity and privacy-preserving technologies.
Explore ResearchThe Science of Identity
The AI, vision, biometric and trust capabilities at the heart of every deployment. Open any domain for a full capability page — mission, frameworks, business outcomes and applications.
AI & Machine Learning
Intelligent systems that learn, adapt and improve identity decisioning.
Generative AI New
Multimodal generative AI that turns knowledge into intelligent experiences.
Agentic AI & Autonomous Systems Flagship
Autonomous AI agents that reason, plan and execute identity workflows.
Computer Vision & Document Intelligence
Seeing, reading and verifying identity from faces, documents and video.
How a Raw Signal Becomes a Trusted Identity Decision
Every Mantra deployment runs the same six-stage AI pipeline — from biometric capture and feature extraction through ensemble inference and continuous learning. This is the engine beneath every eKYC, authentication and fraud-prevention outcome we deliver.
Identity Signals
Biometric capture, document scans, behavioural signals and device telemetry ingested in real time.
Feature Intelligence
Deep-learning feature extraction creates embeddings and normalised vectors for downstream models.
AI Models
An ensemble of specialised models — biometric matching, liveness, document intelligence and fraud signals — run in parallel.
Inference Engine
GPU-accelerated inference at sub-200 ms latency, with horizontal scaling for population-level throughput.
Decision Intelligence
Weighted score fusion, policy rules and risk thresholds produce an explainable APPROVE / REVIEW / DENY decision.
Continuous Learning
Production outcomes feed back into retraining — drift detection, fairness audits and model versioning keep accuracy above 99.97%.
Biometric Intelligence
Recognising people accurately and fairly at population scale.
Authentication & MFA New
Passwordless, FIDO2, biometric and adaptive multi-factor authentication.
Framework ◇Identity & Access Management New
IAM, CIAM, access governance, SSO, RBAC, ABAC and privileged access.
Framework ◇Identity Intelligence
Resolving and correlating identity across systems and signals.
Trust & Fraud Intelligence New
AI-powered fraud management, risk scoring and financial crime prevention.
Framework ◇Data Intelligence
Turning identity data into analytics, graphs and operational insight.
Framework ◇Security & Trust Engineering
Cryptography, zero trust, data protection and confidential computing.
Framework ◇Governance, Risk & Compliance New
GRC frameworks, regulatory compliance and continuous audit readiness.
Framework ◇Digital Identity Infrastructure
Standards-based building blocks for national & enterprise identity.
Compliance & Standards Reference
The full compliance and standards landscape for identity deployments.
Built for National Scale
The engineering disciplines that turn capability into reliable, secure, production infrastructure — from cloud platforms to silicon to site reliability. Open any discipline for the full stack.
Every Model is Trained, Shipped and Governed the Same Way
From raw training data to a live, monitored, production model — our MLOps backbone ensures every AI system is reproducible, auditable and continuously improving. This is how we maintain 99.97% field accuracy across 1B+ identities.
Data Pipeline
Curated, versioned and privacy-compliant training datasets. Feature stores ensure consistency from experiment to production.
Training
Distributed GPU training with experiment tracking, hyperparameter optimisation and reproducible runs.
Evaluation
Bias audits, fairness checks, accuracy benchmarks and ISO 30107 liveness validation before any model ships.
Deploy
Blue-green and canary deployments with model registry, staged rollout and instant rollback capability.
Monitor
Real-time drift detection, performance dashboards and SLA alerting — every model is tracked in production 24/7.
Retrain
Production signals automatically trigger incremental retraining — models don't degrade, they improve continuously.
Platform Engineering
Cloud-native platforms — Kubernetes, microservices and multi-region HA.
Cloud Computing
Multi-cloud, hybrid cloud and edge computing for identity at any scale.
Framework ◇Distributed Systems
Event-driven architecture, message streaming and high-throughput data systems.
Framework ◇Full Stack Engineering
Backend, frontend, web, mobile and desktop — complete identity surfaces.
Framework ◇AI Engineering
The MLOps backbone that trains, ships, monitors and governs every model.
Framework ◇Edge & Device Engineering
Intelligence on the device — from silicon and firmware to edge AI.
Integration Engineering
Connecting identity across standards, systems and ecosystems.
Reliability Engineering
SRE, observability, resilience and performance for identity infrastructure.
Advancing the Frontier
Four research themes shaping the next decade of identity — from autonomous, agentic systems to privacy-preserving computation. Open any theme for its focus topics.
From a Research Idea to a National-Scale Deployment
Mantra's research doesn't stay in the lab. Every breakthrough follows a disciplined five-stage path — validated in the field, hardened for compliance, then scaled to serve millions. This is how frontier science becomes trusted infrastructure.
Research
Scientific exploration of new biometric methods, AI architectures and cryptographic primitives. Published research, benchmark datasets and open collaboration.
Prototype
Working proof-of-concept systems built in controlled environments. Internal evaluation against real-world identity datasets to establish feasibility.
Pilot
Live field deployment with a controlled population. Edge cases, failure modes and regulatory requirements are stress-tested in real conditions.
Productise
Hardened for production — certified against ISO, GDPR and biometric standards. Integrated into the Mantra platform stack with full documentation and support.
Scale
National-scale deployment to millions — supported by our MLOps backbone, SRE team and continuous improvement loops. Research becomes reliable infrastructure.
Intelligent Identity Systems
Research into autonomous, reasoning identity systems.
Generative AI Research
Foundation model research for identity — synthesis, grounding and governance.
Agentic AI Research
Autonomous agent architectures, safety and multi-agent identity systems.
Trusted Biometrics
Advancing biometric accuracy, fairness and spoof resilience.
Future Identity
Decentralized, portable, citizen-owned identity.
Privacy-Preserving Technologies
Proving identity without revealing the underlying data.
An Engineering Company, AI-Native by Architecture
Open Standards, No Lock-In
Interoperable across hardware, platforms and ecosystems. MOSIP-native and standards-first, so you are never vendor-trapped.
AI-Native & Agentic
Deep-learning and agentic systems purpose-built for identity, governed end-to-end by an MLOps and Responsible-AI backbone.
Population-Scale, Proven
Validated at 1B+ identities in live national deployments — engineered for country-level load, not synthetic benchmarks.
Silicon to Cloud, One Partner
Devices, firmware, platforms, integration and support under one accountability chain — edge to data centre.
Secure & Compliant by Design
PKI, zero-trust, confidential computing and ISO 27001 / DPDP compliance built into the architecture — not added later.
25+ Years of Identity Engineering
Founded in 1999 — building identity hardware and software longer than most identity startups have existed.
Let's build identity infrastructure together
Talk to our engineering and research teams about your country, enterprise or platform requirements.