Trustworthy autonomy, engineered.
We explore agentic AI from first principles. Then we engineer what holds.
Your agentic systems work well enough to matter, but not predictably enough to be trusted without evidence. We help technical leaders close that gap, one named system at a time.
Exploration
The signal
The exploration is open-ended on purpose: ideas get followed because they are worth understanding. The stoa was the covered walkway in Athens where ideas were explored freely and reasoned from first principles, in the open, in the middle of working life rather than sealed away from it.
Distinguish what can be governed from what cannot, then act deliberately within that distinction.The research: seven areas
Engineering
The structure
The engineering is where ideas prove out. Findings that survive scrutiny move into development: methods, systems, and eventually products, each claiming only the evidence state it has actually reached. Across all seven research areas the hardest problems reduce to the same shape: we can generate and act, but we cannot cheaply verify. Verification is where the work concentrates.
Autonomy is earned per capability, not granted per agent.
How the lab worksServices
Four focused service families. Evidence first.
Evaluation & Verification
Outcome-level evaluation systems for agentic workflows: evidence you can defend, owned by your team.
Readiness · 1 wkAgentic Development & Pilot-to-Production
Verification-first engineering that takes working-but-untrusted systems to production.
Assessment · 1-2 wksHarness & Orchestration Engineering
The scaffolding, control plane, and durability agents run on, measured on your own tasks.
Audit · 1-2 wksTooling, Skills & Agent Security
Audit and hardening of the capability surface agents acquire: skills, MCP servers, tools, and permissions.