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Research & Frontier

Advancing the Future

The research themes shaping the next decade of identity — intelligent and agentic systems, generative AI, privacy-preserving cryptography and trusted biometrics.

01

Intelligent Identity Systems

Research into autonomous, reasoning identity systems.

Intelligent Identity Systems — AI brain concept

Overview

Research into agentic AI, decision intelligence and identity foundation models — the science behind autonomous identity systems.

Research Focus

Agentic AI Decision Intelligence Identity Foundation Models Autonomous Reasoning Multi-Agent Systems Agent Memory Architectures AI Planning Agent Governance

Key Capabilities

  • Agentic AI Autonomous reasoning and multi-agent collaboration.
  • Decision Intelligence Explainable, accountable automated decisions.
  • Identity Foundation Models Reusable models specialised for identity.
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02

Generative AI Research

Foundation model research for identity — synthesis, grounding and governance.

Generative AI Research — neural synthesis

Overview

Research into foundation model fine-tuning, synthetic identity data generation, RAG architectures and governance frameworks for enterprise-grade generative AI in identity contexts.

Research Focus

Foundation Model Fine-Tuning Synthetic Identity Data RAG Architecture GenAI Evaluation Hallucination Detection Factuality Grounding GenAI Governance Multimodal Research

Key Capabilities

  • Foundation Model Research Domain-specific fine-tuning and evaluation of LLMs for identity, KYC and compliance tasks.
  • Synthetic Data Science Privacy-safe synthetic identity data pipelines to improve model coverage and reduce bias.
  • RAG Architecture Research Retrieval architectures that ground identity AI answers in accurate, verifiable enterprise knowledge.
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03

Agentic AI Research

Autonomous agent architectures, safety and multi-agent identity systems.

Agentic AI Research — robotic intelligence

Overview

Research into multi-agent collaboration, agent safety, planning and memory architectures for autonomous identity systems — bridging research and production AgentOps.

Research Focus

Multi-Agent Research Agent Safety Agent Architecture Planning Research Memory Research Agent Evaluation Frameworks Simulation Environments Agent Benchmarks

Key Capabilities

  • Agent Architecture Research Novel architectures for autonomous identity workflows — reflection, planning, tool use and multi-agent coordination.
  • Agent Safety Research into safe, bounded, auditable autonomous systems with provable human-in-the-loop guarantees.
  • Memory & Planning Long-term memory, episodic recall and multi-step planning for complex identity processes.
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04

Trusted Biometrics

Advancing biometric accuracy, fairness and spoof resilience.

Trusted Biometrics — contactless fingerprint capture

Overview

Research into contactless biometrics, liveness science and anti-spoofing — pushing the limits of trustworthy recognition.

Research Focus

Contactless Biometrics Anti-Spoofing Liveness Science Multi-Modal Fusion Synthetic Identity Detection Large Scale Identification Biometric Fairness Accuracy Optimization

Key Capabilities

  • Liveness Science Next-generation passive liveness research.
  • Anti-Spoofing Defending against presentation and morph attacks.
  • Contactless Biometrics Camera, palm and vein modality research.
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05

Future Identity

Decentralised, portable, citizen-owned identity.

Future Identity — decentralised identity network

Overview

Research into self-sovereign identity, verifiable credentials and digital wallets — the architecture of portable, privacy-preserving identity.

Research Focus

Self-Sovereign Identity (SSI) Verifiable Credentials Identity Wallets Decentralized Identity Trust Frameworks Identity Interoperability OpenID4VC Credential Binding

Key Capabilities

  • Self-Sovereign Identity User-controlled identity models.
  • Verifiable Credentials W3C VC for portable, privacy-preserving proofs.
  • Identity Wallets Offline-capable citizen wallets.
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06

Privacy-Preserving Technologies

Proving identity without revealing the underlying data.

Privacy-Preserving Technologies — encryption mesh

Overview

Research into federated learning, homomorphic encryption, differential privacy and zero-knowledge proofs — privacy-preserving identity by construction.

Research Focus

Privacy-Preserving AI Federated Learning Homomorphic Encryption Differential Privacy Zero-Knowledge Proofs Secure Multi-Party Computation Synthetic Data Privacy Auditing

Key Capabilities

  • Federated Learning Models learn across silos without moving data.
  • Homomorphic Encryption Compute on encrypted biometric templates.
  • Zero-Knowledge Proofs Prove attributes without revealing them.
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Talk to our engineering and research teams about applying these capabilities to your country programme, enterprise platform or fintech stack.