About
Building the management layer for AI agents
We believe AI agents will transform how work gets done. But without proper governance and control, they remain too unreliable for serious use. We're building the infrastructure to change that.
Mission
Make AI agents reliable enough for production
The current generation of AI agents can do remarkable things-write code, analyze data, execute complex workflows. But they fail unpredictably, hallucinate confidently, and are nearly impossible to debug at scale.
We're building Executive AI to solve this. By introducing a hierarchical management layer that controls memory, context, and tool access, we make it possible to run agent systems that are reliable, auditable, and controllable.
Our goal isn't to replace human decision-making. It's to create AI systems that humans can actually trust to handle complex, long-running tasks with appropriate supervision.
Vision
The future of AI is supervised
We envision a world where AI agents handle the execution of complex workflows while humans maintain oversight and control. Not replacing human judgment, but amplifying human capability through reliable delegation.
This requires infrastructure that treats AI agents like any other production system: with proper access controls, observability, and governance. That's what we're building.
Values
What we believe
Reliability over novelty
We prioritize systems that work consistently over shiny demos. Production AI needs to be predictable and debuggable.
Control without friction
Strong governance shouldn't mean constant manual intervention. We build controls that work automatically.
Transparency by default
Every decision an agent makes should be visible and explainable. No black boxes in production systems.
Operators first
We build for the people who run AI systems, not just those who build them. Observability and control are core features.
Team
Built by operators
We've built and run AI systems at scale. We know the pain points firsthand.
Alex Chen
Co-founder & CEO
Previously led AI infrastructure at a Fortune 100. 15+ years building distributed systems.
Jordan Park
Co-founder & CTO
Former ML platform lead at a unicorn AI startup. PhD in distributed systems from MIT.
Sam Rivera
Head of Engineering
Ex-principal engineer at AWS. Expert in agent systems and reliability engineering.
Morgan Liu
Head of Product
Built developer tools at Stripe and Vercel. Focused on making complex systems accessible.
Want to join us?
We're building the infrastructure for the next generation of AI systems. If that sounds interesting, we'd love to hear from you.