Your company's memory. For you, your team and your AI agents. Models are rented. Memory is owned.
Paris
Joined June 2026
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Decisions are made in meetings, and forgotten right after.
Verbasil now brings your calendars together, lets Nora set up the meeting, sends Verbasil Scribe to take the notes, and files the decisions straight into your team's memory.
verbasil.com
Les décisions se prennent en réunion, et s'oublient juste après.
Verbasil réunit maintenant tous tes agendas, laisse Nora caler le rendez-vous, envoie Verbasil Scribe prendre les notes, et range les décisions directement dans la mémoire de ton équipe.
verbasil.com/fr
Your agents are fast.
Do they know why you stopped selling to schools?
Verbasil keeps every decision and its why, so agents check before they act.
Your agents are fast. Do they know why you never ship on Fridays?
Verbasil keeps every decision and its why, so your agents check before they act. The final call stays yours.
Why., episode 1: Tech. One team a day.
Big milestone for us. 🎉
BIG news: @VerbasilHQ just joined Anthropic’s @claudeai for Startups program! 🎉
As a founder who builds with Claude every day, this is a small dream come true.
Verbasil is the memory of your team’s decisions.
This is just the beginning. 🔥
The new Verbasil.
Everything now starts with a conversation. Drop in meeting notes, a quick note or an email thread, and Nora files it into your company's memory.
Fewer places, more clarity: whatever needs your attention waits in one place, at your desk or on your phone.
Answering is not remembering.
Verbasil is your company's memory: it takes in what you already produce, surfaces the topic that keeps coming back, and hands you a decision that still carries its evidence. Twelve proofs, not a summary.
verbasil.com
The useful loop is simple: source, validated signal, decision, result, learning. The work is keeping those links usable over time.
An experiment is more useful when the original decision, the result, and the learning stay connected.
A reminder should not decide for a team. It should surface the evidence or question that helps the team decide well.
Good search helps people find what they ask for. Useful context can also return before someone knows which question to ask.
AI can structure information quickly. Human validation is what keeps a project’s context trustworthy.
An interview becomes a learning when it changes a later decision. Before that, it is only a record of a conversation.
