About
The hard part of AI at work is trust, not capability.
Models got good enough to do the job a while ago. What is missing is a reason to let them.
Every company has been offered an AI assistant that summarises email or books a meeting. Almost nobody has handed one their actual inbox and walked away. The gap between those two things is not a model problem — it is that nobody built the machinery that would make walking away reasonable.
So that is what we build. Work runs as a structured process rather than an open-ended prompt, so there are fewer places for it to drift. Every action that leaves your company is checked four ways and then held for a human. And autonomy widens only where there is a measurable record to justify it — per company, per action, revocable.
It is slower to build than a chatbot. We think it is the only version of this that ends up being worth paying for.
Who we are
Two people, building carefully
- Founder nameCo-founder
- PLACEHOLDER — two sentences on background and what they own here.
- Founder nameCo-founder
- PLACEHOLDER — two sentences on background and what they own here.
Where this goes
The assistant is the first hire, not the only one.
The governance, memory and verification underneath the executive assistant are not specific to assistants. Once a role can be trusted with real work, the same machinery supports the next one — a project manager, an engineering manager. We are deliberately doing one job properly first.