Company
About Inference Stack
Inference Stack is an enterprise AI execution authority firm. We define the standards, control layers, and runtime infrastructure that determine how AI systems behave in production.
Our work operates at the architectural layer — where decision rights, execution boundaries, and telemetry systems convert AI from experimental capability into durable institutional infrastructure.
Why the firm exists
Most enterprises now have mature infrastructure for cloud, data, and DevOps. Far fewer have equivalent infrastructure for AI execution — the application-layer standards and runtime controls that determine how AI systems actually operate once deployed.
Inference Stack exists to close that gap. We focus on execution architecture: defining authority boundaries, enforcing runtime discipline, and instrumenting systems so behavior is inspectable, versioned, and defensible.
Institutional perspective
Founded by Matt Vegas, Inference Stack draws on more than two decades of enterprise engineering and architecture experience across Fortune 500, healthcare, and high-trust SaaS environments.
The firm approaches AI not as experimentation, but as production infrastructure — systems where failure carries operational, financial, or reputational consequence.
Operating model
Execution Authority
We operate as a structural authority layer — defining execution standards, architectural boundaries, and runtime control mandates that teams must follow.
Architecture Discipline
Our work integrates control planes, agent frameworks, telemetry streams, and execution policies into cohesive, production-grade systems.
Selective Engagement
We partner with a limited number of organizations at a time, focusing on depth, execution quality, and institutional alignment — not volume.
Focus areas
- Enterprise AI execution architecture and application-layer control systems.
- Agentic infrastructure and bounded autonomy for tool-using systems.
- Execution standards, capability registries, and structured runtime mandates.
- Application-layer telemetry for inspectable AI behavior.
- Portfolio-level AI execution alignment for enterprises and investors.