Work on what matters most. Catapult handles the rest.

Built uniquely for you, Catapult understands your work as if it's been with you since day one. Every email, message, meeting and document.

So it knows your tone, your priorities, the context behind your decisions. It anticipates what you need before you think to ask, and helps you get it done.

It drafts your replies in your voice. It preps you for the meeting, then follows through on what you promised. It catches what you'd have missed. It thinks through the hard problems with everything you've ever worked on in front of it. And the more it learns, the more it does that you never thought to ask for.

No explaining yourself. No uploading context. No markdown files, no workflows to build. It just works.

We're a small, obsessed team of repeat founders, researchers, and engineers — from Meta, Amazon Research, Oxford, Cambridge, and Imperial building Catapult for ourselves, and for people like us.

We can't wait for you to try it.

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A few of the things Catapult does

Do your life's best work, and help the world do theirs

We're building at the frontier of AI, solving problems that look impossible: dynamic long-term memory, proactive agents, context engines that understand your work like you do.

Between us, we've built and scaled startups, published in top journals, and shipped everything from quantum random number generators to local coding agents.

Join us, and spend your best years changing how the world works.

Things we get asked

Which models do you use?

Two things make Catapult work.

The first is the live model we build of your work: a deep understanding of everything you've ever worked on. That's the part we've pioneered, and it's what sets Catapult apart.

The second is how we answer your questions. There we stay model-agnostic. We continuously test the best agents available and match each task to whichever one handles it best, so you always get the strongest result.

Does Catapult have memory?

Yes, and it's real memory, not the shallow kind.

Most tools "remember" by re-fetching a handful of recent messages the moment you ask, then starting from zero next time. Catapult builds a living model of your work and keeps it current in the background. It learns what's top of mind this week, the people you work with, your tone and preferences, what's coming next, and what's starting to slip.

Because it holds the context of every conversation, you never repeat yourself or re-explain what you meant last time.

Ask what's on your plate and Catapult can write your week back to you, often more clearly than you would yourself. That's when it stops feeling like a tool and starts feeling like someone who already knows you.

How does Catapult compare to Hermes, OpenClaw and Claude Cowork?

Catapult is different in two ways that matter.

It's proactive, not prompted. Cowork and Hermes, and OpenClaw wait for you to assign a task: you open the app, point it at a folder, write a prompt. Catapult watches what's happening across your work, from emails to Slack to meetings, and starts on things before you ask. The bug ticket is drafted before you've seen the Slack message. The investor follow-up is waiting when you sit down.

It's built on deep, pre-existing context. This is the bigger one. Cowork, Hermes and OpenClaw rely on MCPs (Model Context Protocol connectors) or CLIs to pull in information the moment you ask. That sounds fine in theory. In practice it means:

  • They start from zero every time. Each task is like opening an incognito window: a few live API calls to Gmail, Slack, or Drive, a thin slice of recent data, whatever fits in the context window. No memory of you, your work, or your patterns.
  • The context is patchy. MCPs return whatever the underlying API exposes, which is usually far less than what's actually in your work. Attachments are the obvious one: most can't read them, so a thread about a contract becomes a thread about "the attached PDF." Same for images in Slack, linked docs, embedded tables, and anything behind a reference.
  • They can't see across sources. A call to Gmail returns emails. A call to Slack returns messages. Nothing joins them up. If the answer lives half in an email, half in a Slack DM, and half in a Notion doc from three months ago, you're the one stitching it together.
  • Retrieval is shallow and recent. MCPs are good at "the last 20 messages in this channel," bad at "what did we decide about pricing six months ago, and who pushed back." The model never learns your history. It just keeps re-fetching fragments of it.

Catapult works the other way around. Instead of pulling context at query time, it builds a persistent model of your work in the background. It ingests everything: emails and their attachments, Slack threads and the images in them, docs, meetings, the calendar, the lot. It keeps that model current as you work, so when Catapult acts, it already knows the context: your tone, your priorities, the commitments you've made, the threads that matter. It doesn't have to go look.

How secure is Catapult?

Your data is yours. It's encrypted in transit and at rest, and it's never used to train third-party models. We comply with GDPR, and we're currently completing SOC 2 and ISO 27001 certification with Vanta.

Does Catapult act without my permission?

No. We believe you should have the final say on everything Catapult does. Catapult prepares work for you to review, so you can hit send or take the action.