The Knowledge Layer for 1 Billion Connected Minds

Where scattered insights become compounding intelligence

Your best ideas are everywhere. Slack threads. Browser tabs. Meeting notes. AI chats. They're not connected. And every time you switch context, you lose the thread.

Every App Is Another Silo

Your knowledge fragments across tools. Context dies between apps.

💬 Slack
📝 Notion
📊 Linear
🎨 Figma
🧠 Claude
💭 ChatGPT
📄 Google Docs
🔍 Perplexity
🎯 Asana
📧 Gmail
🗂️ Confluence
💼 Salesforce
🎤 Granola
🧩 Miro
📱 Discord

That brilliant connection you made? Lost in a Slack thread.
The pattern you spotted? Buried in tab 47.
Your teammate's breakthrough? Hidden in their Notion.

What's the Real Cost of That?

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Lost Context

That pattern you spotted this morning? By afternoon, it's just bookmarks without meaning.

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Restarted Thinking

Every context switch means rebuilding your mental model from scratch. Again.

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Insights Don't Compound

Last month's breakthrough doesn't inform today's decision. Knowledge resets, not builds.

Research shows we revisit the same pages repeatedly, re-research what we've already discovered,
because we can't reconnect with our past understanding.

The North Star

What if your context wasn't trapped in silos, but threaded across every tab, and app you use?

What if every insight you've ever captured compounds automatically?

What if you could finally focus on connecting dots instead of recollecting them?

This is our north star: Your knowledge shouldn't fragment across tools. It should compound across everything.

The Evolution of Knowledge Work

Era 1
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We Stored Files

Save everything, find nothing. Knowledge buried in folders.

Era 2

We Search Stuff

Find anything, understand nothing. Information without connection.

Era 3

Context Moves With Us

Understanding persists. Insights compound. Knowledge evolves.

What This Looks Like in Your Work

Your past research stays in the horizon - always accessible, ready to extend. Every highlight, every note, every connection you made weeks or months ago is right there when you need it. And your team can build on it too.

You Continue Your Research

You highlighted competitor pricing patterns weeks ago - "across a few webpages" and made notes about their strategy.


As you start do some research today about competitor pricing, those old highlights will be there and you to work on.


You're not starting over. You're extending what you already discovered.

Your Colleague Builds on Your Work

Sarah is researching the about related product landscape. She's never researched realted pricing psychology. But you have.


Your highlights from competitor pricing surface in her workspace.


Sarah doesn't redo your research. She builds on your foundation. Your work becomes her starting point.

What's Under the Hood

The knowledge layer isn't another app. It doesn't suck your data into a new silo.

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🧠
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It's a set of connected threads: highlights, notes, links, provenance—that travel with you. It shows you what matters, when it matters. You search by concept, not keyword.


How do we thread knowledge across every tool you touch?


We're building semantic infrastructure that understands not just what you highlighted, but why it matters to you. Using graph-based knowledge representations—similar to how modern language models build understanding—we map relationships between your scattered insights.


When you highlight "pricing strategy" in a competitor analysis, our system recognizes its connection to "revenue models" in your product docs and "market positioning" in your Slack threads. It's not keyword matching; it's conceptual understanding.


Every annotation becomes a node in your personal knowledge graph, with edges that strengthen each time you make a connection. The same transformer architectures that power AI's language understanding now power your memory—turning fragmented thoughts into a coherent, queryable intelligence that grows smarter with every interaction.

Build Your Knowledge Layer

The future of work isn't just about better tools. It's about connected intelligence.

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