About
Who authorized this action, and can an outsider check it?
Current human authority for consequential AI. AI acts. Humans authorize. Regulayer™ enforces, and proves it.
The technology
The airlock between your AI agents and the real world.
AI becomes consequential when its actions affect people, systems, assets or decisions. It can keep acting after the human decision that governed it has changed.
Regulayer™ sits outside the AI, in front of the real world. Before an action goes through, it checks the action against the authority a named person set, now. Off that authority, the action is sent back to correct. If correction fails, it holds and does not run. Every decision leaves a signed record.
Mathematical. Outside the AI. It runs independently of the model provider, so the authority that decides what the machine may do stays in your custody. The evidence can be verified by anyone holding the file, without an account and without contacting us.
The platform
One floor, and the engines built on it.
Every engine answers one of three questions: what authority governs now, may the machine proceed under it, and what is the evidence.
What it unlocks
AI that can be trusted with real work.
The founder
Louisa Johnson Bullock
Louisa has spent her career in industries where safety is engineered and proven, never assumed. She drove adoption of the USP 797 sterile-compounding standard across hospital, pharmaceutical and nuclear-pharmacy practice. She led CRISPR commercialization at Thermo Fisher, taking genomics, protein sciences and biobanking to market in forty countries. At DuPont, the Tyvek clean-environment business. At Texas Instruments, in-line semiconductor manufacturing. At ITW, contamination control.
In a semiconductor cleanroom or a sterile-compounding suite, cleanliness is never taken on trust. It is built into the environment, and it is proven. Regulayer™ brings that principle to consequential AI.
Architecture and safety are not separate. They are one breath.
The position
An enabling company.
An enabling architecture for AI systems that require external authority, consequence control and proof. Enterprises, AI platforms and OEMs embed it in their own systems, on their own infrastructure.
Patent pending.