We were once
told that…

We need an intelligent system that understands what's happening across the team, highlights what's important, handles the coordination, and turns our collective knowledge into helpful assistance.

Highlight lives where you work, and connects with the tools your team already uses, whether to coordinate (chat, email, meetings) or to create (docs, design, coding agents). By knitting fragmented data into a single, coherent context graph, Highlight avoids individual knowledge silos and allows AI to be truly proactive: It understands what is happening across your team and surfaces what matters right when you need it.

As a result, you have more time for meaningful work:

• You leave a meeting and your follow-ups are already drafted, grounded in context from across people and tools.
• You can go heads down without falling behind. When you come up for air, you'll see what you missed, synthesized across meetings, chats, and platforms - your personal briefing.
• Your team chat gets quieter because information already goes where it should - updates shared automatically, simple questions answered before needing a ping.

Team knowledge gaps cease to exist. Relevant information is always accessible to those who need it (agent or human).

We aren't just building a better way to work; we're building the operating system for what comes after the SaaS era.

The most valuable team knowledge rarely lives in a polished artifact, it lives in the trail of daily work; the specific path to a decision, the screenshare and verbal explanation, the comment that changed a plan, the nuance of a discussion thread.

We are building the secure infrastructure to capture, model, retrieve, and apply this high-fidelity context.

In practice this breaks down into a few unsolved problems:

• Proactive assistance
  We are replacing manual prompting with autonomous, proactive action. Highlight surfaces what matters to you and your team, keeps track of context, and lets you run agents and workflows across tools before you even have to ask.
• High-fidelity capture
  We're evolving Highlight into an always-on presence that stays with your workflow (via screen capture, audio transcription, and indexing), turning human-computer interaction into semantic data with total user control over privacy. Users choose what's captured and when it's shared.
• Shared memory
  We've moved beyond "search a pile of text." We are building a shared, unified team memory where AI understands the evolving state of a project by organizing context from every person and tool into a collective context graph.
• Scaling collective intelligence
  Memory without agency is just text collecting dust. We provide an execution layer for multiplayer agents that's grounded in context, enabling developers to scale a team's collective intelligence across every tool and system.

At the core, we need a foundation of universal context made accessible and useful to teams, so we're starting there. Our plan is to:

1. Build a 10x context capture system and shared memory layer.
2. Use the shared memory layer to power a proactive command center for teams.
3. Launch a platform for developers to build multiplayer agents on top of our shared memory and command center.
4. Enable teams to deploy fine-tuned world models as agents that learn by observation.

We've already proven our core technology with hundreds of thousands of users, and are now in early access with organizations.

We are a team of systems thinkers and founders from places like Discord, Medal.tv, and Meta who are obsessed with product and user behavior.

If you want to solve the hardest problems in context and autonomy, join us.

See open roles →