Cull Meeting · Enterprise early access

AI can listen. Cull decides what it may keep.

Meeting intelligence with consent built in. Check each participant's permission, retain what your policy allows, and leave with an auditable record of the decisions.

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A control point between what a machine hears and what it keeps.
The starting point

Cull Meeting is in early access. Cull Clerk handles the announcement and consent step inside the meeting.

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See the decision trail

A record of the decisions behind every session.

Watch the full walkthrough →
Example meeting session · consent and retention events
Illustrative
09:14:02
Cull Clerk announces the session to every participant
DISCLOSED
09:14:06
Consent confirmed for 4 participants
ALLOWED
09:14:11
Decision and action items retained under policy
KEPT
09:14:20
Off-the-record segment discarded
CULLED
09:14:21
Session event record signed for review
SIGNED

Illustrative interface. The meeting walkthrough shows the announcement, consent gate, stop command, and report together.

Three controls, before storage.

How Cull Meeting works
01 · Ask
Consent gate
Cull Clerk announces itself and asks each person. The meeting record follows the permissions given by its participants.
02 · Decide
Selective retention
Keep the decisions, action items, and agreed summaries your policy permits. Discard content outside that scope.
03 · Prove
Signed event record
Give reviewers a timestamped account of the consent and retention decisions made during the session.
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Built for the buyer

Useful meeting output. A reviewable path to it.

Legal, compliance and privacy teams need more than a summary. They need to know who was informed, what each person permitted, and what entered the record. Cull brings those decisions into the meeting workflow.

Explore Cull MeetingTalk through your use case →

One approach, more than one setting.

What comes next
EARLY ACCESS
Cull Meeting
Consent-aware meeting intelligence for enterprise teams.
See Meeting →
EARLY ACCESS
Cull Recap
Field summaries and action items without a stored raw transcript.
See Recap →
LONG-TERM VISION
Devices that sense
Applying governance to future wearables, vehicles, and robots.
Explore the vision →
Who is building it

Cull brings together speech AI engineering, enterprise AI research, and patent and governance experience.

Led by Hitesh Gupta, founding engineer for speaker identification at Otter.ai; Matt Ertosun, Stanford engineering PhD, AI researcher & entrepreneur; and Raj Abhyanker, patent counsel, inventor and founder.

Meet the teamRead the founding story
Start with a meeting

See what consent-aware meeting intelligence could look like for your team.

Watch the demoDiscuss a pilot