Hopper: everything in, only signal out.

AI has made intelligence cheap but judgement scarce. Hopper is a subtraction engine — it strips the noise, surfaces what matters, and routes signal to the right place.

Coming soon

How it works

1. Everything goes in

Meeting recordings, voice notes, emails, browser clippings, photos of whiteboards, forwarded messages, raw ideas. No formatting required. No structure imposed on the human.

2. AI distils to essence

Every input is classified: decisions routed to Anchor, actions routed to Maverick, knowledge filed, signals flagged, noise discarded.

3. Signal reaches the right place

Decisions go to Anchor. Tasks go to Maverick. Knowledge goes to project memory. Alerts reach you only when something genuinely needs human attention.

4. Distilled briefings

Instead of checking five apps and twenty notifications, you get a single view of what actually matters today.

Core capabilities

Universal intake

Meetings, voice notes, emails, Slack threads, photos of whiteboards, handwritten notes. Accept input from any source without imposing structure.

Intelligent routing

Decisions to Anchor. Actions to Maverick. Knowledge to project memory. Research signals to the intelligence feed.

Project memory

Every distilled insight filed against the relevant project. Automatically organised, cross-referenced, temporal, and semantically searchable.