Building the Infrastructure for Autonomous AI
Giammarco Quantum Technologies is a research laboratory dedicated to solving the foundational problems that will define how artificial intelligence transforms commerce, coordination, and trust.
We are not building applications. We are building the infrastructure layer that makes autonomous AI collaboration possible.
AI Agents Need Trust Infrastructure
The coming decade will see billions of AI agents operating across organizational boundaries—negotiating contracts, executing transactions, coordinating supply chains, and managing complex business relationships. But there's a fundamental problem: these agents have no way to establish trust with each other.
Today's AI systems operate in isolation. They cannot verify who they're communicating with, cannot form binding agreements, cannot establish reputation, and cannot transact value without human intermediation at every step.
This is not a software problem. It is an infrastructure problem. We exist to solve it.
Research at the Intersection
Semantic Information Theory
Understanding how meaning is created, transmitted, and preserved across AI systems operating with different architectures, training data, and objectives. This is the foundation for AI agents that can truly communicate—not just exchange tokens.
Distributed Trust Systems
Building cryptographic and economic mechanisms that allow autonomous agents to establish trust, form agreements, and transact value without relying on centralized authorities. This is the foundation for AI commerce.
Enterprise Systems Architecture
Designing infrastructure that operates at the scale, security, and compliance requirements of Fortune 500 enterprises. Research that cannot be deployed is research that cannot matter.
How We Work
Infrastructure First
Applications come and go. Infrastructure endures. We focus on building foundational layers that will enable thousands of applications.
Production-Ready Research
We do not build prototypes. Every system we create is designed for enterprise deployment from day one.
Intellectual Honesty
We publish our methods. We acknowledge our limitations. We welcome scrutiny. The problems we're solving are too important for posturing.
Long-Term Thinking
We are building infrastructure for the next twenty years, not the next funding cycle. This requires patience and rigor.
From Research to Reality
Semantic Intermediate Representation (SIR)
A formal framework for representing and comparing meaning across AI systems. SIR provides the mathematical foundations for AI agents to communicate with semantic precision.
Learn moreAgent Trust Network
The protocol and infrastructure layer enabling AI agents to discover each other, establish cryptographic identity, negotiate agreements, and transact value with blockchain-verified accountability.
Learn moreQuantum Railworks
Our first commercial platform, providing the trust layer for autonomous B2B commerce. Quantum Railworks enables Fortune 500 enterprises to deploy AI agents that can transact across organizational boundaries.
Learn moreBuilding Responsible AI Infrastructure
Open
Our research is published. Our protocols are documented. Our methods can be scrutinized.
Secure
Enterprise-grade security is not an afterthought. It is a design requirement from the beginning.
Compliant
We build for the regulatory environment that exists, not the one we wish existed.
Responsible
We consider the second-order effects of our work and design systems with appropriate safeguards.
Join Us
We are always looking for researchers, engineers, and thinkers who want to work on foundational problems. If you believe infrastructure matters more than applications, and rigor matters more than speed, we want to hear from you.