A twin that attends the meeting with your judgment
Notetakers capture what was said. We are building something different: a verified twin of you that joins the meeting, asks the questions you would ask, evaluates the conversation the way you would — and leaves a memory you can interrogate afterwards. “Would I have taken this deal? What did I miss?”
It builds on what already runs today: fidelity-scored twins of named, consenting experts, holding live conversations billed per minute.
Early access — become a design partner
First cohort: investors running founder meetings. Experts and operators welcome too.
Consent-first, by design
An AI that participates in meetings carries real obligations — recording consent, transparency, data protection. We are building for them rather than around them: the twin announces itself before it speaks, participants consent before it takes part, its identity is verified so nobody wonders who is behind the face, and every evaluation is decision-support for a human — never an automated decision about a person. That is the same consent-native approach the live twin platform already ships.
Common questions
- Is the meeting twin available today?
- No — it is in design, and we are selecting early design partners now. Registering interest is how you become one.
- How is it different from a notetaker?
- A notetaker answers "what was said". A meeting twin is being built to answer "what would I have concluded" — it applies a specific, consenting person’s judgment and leaves a queryable memory of the meeting, not just a transcript.
- Is that even legal in the EU?
- That question is exactly why it is consent-first by design: the twin announces itself, participants consent before it takes part, identity is verified, and its evaluations are decision-support for a human — never an automated decision about a person. We are building with counsel review before any pilot.
- Who is it for first?
- Investor diligence — partners who take many founder meetings and want their own questions asked and their own frameworks applied consistently. Other verticals follow.
The judgment engine already answers questions in public — try the live flagship twin: