Work on what matters most. Catapult handles the rest.

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.

Catapult is different in two important ways:

• It's proactive, not prompted. Cowork 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 — emails, Slack, meetings, docs — and starts on things before you ask. The bug ticket gets drafted before you've seen the Slack message. The investor follow-up is waiting when you sit down at your desk.
• It's built on deep, pre-existing context. This is the bigger one. Cowork and OpenClaw rely on MCPs (Model Context Protocol connectors) to pull in information at the moment you ask. That sounds fine in theory, but 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 small slice of recent data, and whatever fits in the context window. No accumulated understanding of you, your work, or your patterns.
  • The context is patchy. MCPs return whatever the underlying API exposes, which is often a lot less than what's actually in your work. Email attachments are the obvious one — most MCP integrations can't read them, so a thread about a contract becomes a thread about "the attached PDF." The same goes for images in Slack, linked docs, embedded tables, and anything that requires following a reference.
  • They can't see across sources. An MCP call to Gmail returns emails. A call to Slack returns messages. Nothing joins them up. If the answer to your question lives half in an email thread, half in a Slack DM, and half in a Notion doc from three months ago, you're doing the stitching.
  • 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 on it." The model never really learns your history — it just keeps re-fetching fragments of it.

Catapult takes a different approach: 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, calendar, the lot — and 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, and the threads that matter. It doesn't have to go look.

We comply with some of the strictest data regulations globally, including GDPR. We have built systems with bank-grade encryption, have agreements for no third-party training on your data, and are currently undergoing SOC 2 and ISO 27001 with Vanta.

Catapult includes clickable citations for every source it uses, so if you're unsure, you can click through to the exact doc, message or email used.

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.

Yes! Catapult's state of the art memory system remembers your conversations, preferences, styles and important facts. If you're curious, it's 100x richer than ChatGPT's, so it truly feels like working with someone who knows you.