Built for National Scale
Production architecture, cloud deployment configurations, distributed datastores and edge integrations designed to scale safely to hundreds of millions of identity profiles.
Platform Engineering
Cloud-native platforms — Kubernetes, microservices and multi-region HA.
Overview
Cloud-native platforms — Kubernetes, microservices, service mesh and multi-region architecture engineered for high availability, disaster recovery and elastic scaling.
Systems Architecture
Key Capabilities
- Cloud-Native Architecture Containerised microservices on Kubernetes with Istio service mesh for observability, mTLS and traffic control.
- Multi-Tenant Platforms Secure tenant isolation for many agencies on shared infrastructure with dedicated resource guarantees.
- High Availability & DR Multi-region, active-active deployment with automated failover and disaster recovery tested through chaos engineering.
Cloud Computing
Multi-cloud, hybrid cloud and edge computing for identity at any scale.
Overview
Multi-cloud and hybrid-cloud architecture for identity infrastructure — AWS, Azure and GCP with cloud-agnostic abstractions, FinOps controls and edge computing where latency demands it.
Systems Architecture
Key Capabilities
- Multi-Cloud Strategy AWS, Azure and GCP deployments with Terraform/Pulumi abstractions that prevent lock-in and enable geographic choice.
- Hybrid Cloud Secure connectivity between on-premise identity systems and cloud services — critical for sovereign and air-gapped deployments.
- Edge Computing Identity processing at the edge — reduced latency for remote regions, offline capability and data residency compliance.
Distributed Systems
Event-driven architecture, message streaming and high-throughput data systems.
Overview
The distributed-systems layer underpinning Mantra platforms — event-driven architecture with Apache Kafka, distributed databases, CQRS/event-sourcing and high-throughput processing patterns.
Systems Architecture
Key Capabilities
- Event-Driven Architecture Apache Kafka and NATS for real-time identity events, fraud signals and audit streams at millions of events per second.
- Distributed Databases Polyglot persistence — PostgreSQL, CockroachDB, Redis, Elasticsearch, Neo4j and time-series — chosen per workload with global replication.
- High-Throughput Processing Stream processing with Flink and Spark for real-time fraud detection and identity analytics.
Full Stack Engineering
Backend, frontend, web, mobile and desktop — complete identity surfaces.
Overview
Full-stack engineering spanning backend services, modern frontend applications, progressive web apps, native and cross-platform mobile, and desktop clients — all grounded in secure-by-design and accessible-by-default principles.
Systems Architecture
Key Capabilities
- Backend Engineering Python, Go, Java (Spring Boot), Node.js and .NET services — REST, GraphQL and gRPC APIs built for security and throughput.
- Frontend Engineering React, Vue.js and Angular SPAs with TypeScript — accessible, internationalised and optimised for government and enterprise users.
- Mobile Engineering Native iOS (Swift/SwiftUI) and Android (Kotlin/Jetpack) plus React Native and Flutter for biometric capture and citizen apps.
AI Engineering
The MLOps backbone that trains, ships, monitors and governs every model.
Overview
The MLOps backbone that trains, ships, monitors and governs every model — with full lineage, drift detection and Responsible-AI controls.
Systems Architecture
Key Capabilities
- Training Pipelines Reproducible, distributed training with automated data versioning.
- MLOps & CI/CD Automated promotion, rollback and a versioned model registry.
- Monitoring & Drift Live accuracy, drift and per-cohort fairness tracking.
Edge & Device Engineering
Intelligence on the device — from silicon and firmware to edge AI.
Overview
From silicon and firmware to edge AI and secure connectivity — engineering that brings capture and matching to the device.
Systems Architecture
Key Capabilities
- Embedded & Firmware Purpose-built firmware for biometric capture devices.
- Edge AI Quantised, compressed models run on-device in under 200ms.
- Device Management OTA updates and fleet management at national scale.
Integration Engineering
Connecting identity across standards, systems and ecosystems.
Overview
OpenID Connect, OAuth2, SAML, SCIM, LDAP and DPI integration that make Mantra interoperable with any platform — federation across organisations and borders.
Systems Architecture
Key Capabilities
- Identity Federation Federate trust across organisations and borders.
- Open Standards OpenID Connect, OAuth2, SAML and SCIM out of the box.
- DPI Integration Native integration with MOSIP, eSignet and Inji.
Reliability Engineering
SRE, observability, resilience and performance for identity infrastructure.
Overview
Site Reliability Engineering for identity — observability, distributed tracing, capacity planning and chaos engineering that keep systems always-on.
Systems Architecture
Key Capabilities
- Observability Metrics, logs and distributed tracing across services.
- Resilience Engineering Chaos testing and graceful degradation.
- Capacity Planning Scale ahead of national demand spikes.
Build for Scale
Talk to our engineering and research teams about applying these capabilities to your country programme, enterprise platform or fintech stack.