Building Infrastructure for the AI Era
Founder and systems architect focused on distributed systems, AI/ML infrastructure, and quantum-safe security. Currently leading three complementary ventures that form a comprehensive technology stack for the next generation of computing.
Data Analytics and Systems Engineering, Oxford University
AI, distributed computing, and post-quantum cryptography
Zero-Configuration AI Infrastructure Platform
A comprehensive AI infrastructure platform that eliminates deployment and operational complexity for developers and enterprises.
Part of Google for Startups program
Universal API layers that abstract vendor complexity while providing enterprise-grade security
Advanced Computing Infrastructure R&D
Research and development lab focused on critical infrastructure technologies for the next generation of computing.
Distributed blockchain infrastructure for verifiable computing with hardware-backed security. Provides immutable settlement and audit trails for data, AI operations and distributed systems.
Learn more →Hardware-secured confidential computing platform using AMD SEV-SNP and Intel TDX. Enables secure processing of sensitive workloads with cryptographic attestation.
Learn more →A framework that enables distributed AI systems to collaborate intelligently through secure edge processing and data tokenization for real-time coordination.
Learn more →Tokenization platform for alternative assets, enabling investment and inclusion for traditionally inaccessible markets and ecosystems.
Learn more →AI-Native Financial Infrastructure
Commercial fintech platform providing payment processing, KYC/KYB verification, and autonomous AI financial capabilities.
Biometric authentication combined with post-quantum cryptography, enabling "proof of personhood" for digital and autonomous AI interactions.
Building foundational technologies that other companies can build upon, rather than competing in application layers.
Every system incorporates post-quantum cryptography and hardware-backed security from the ground up.
Designing for computation across multiple clouds, edge devices, and geographic regions without central points of failure.
Infrastructure specifically designed for AI workloads, including model training verification and autonomous agent operations.
The advancements in artificial intelligence, quantum computing, and distributed systems represent the most significant infrastructure shift since the internet.
Making advanced AI capabilities accessible without vendor lock-in
TENZRO
Developing foundational security and verification layers
PRAECISE
Demonstrating real-world applications of the integrated technology stack
RIVIER