Survives turnover.
When someone leaves, what they knew doesn't leave with them. Every renewal note, pricing exception, and workaround they ever looked up stays queryable, not trapped in their head or a Slack thread nobody will scroll back to.
Every company needs a brain.
AI is finally good enough to take on real work. But it can only help if it understands how your company actually runs. Trace brings your team's scattered know-how together in one place, so everyone, and every AI tool, is working from the same playbook.
Your best people are your only documentation.
Every company runs on know-how that lives in people's heads, old email threads, chat messages, support tickets, and a dozen different tools. Things work because someone remembers where to look.
That doesn't scale, and it definitely doesn't work for AI. Without a clear, up-to-date source of truth, AI tools end up guessing, which means inconsistent answers, mistakes, and work you still have to double-check yourself.
One place that knows how your company works.
Trace quietly pulls knowledge from the documents, conversations, and tools your team already uses, and organizes it automatically. Nobody has to write it down or keep it updated. The result is an accurate, current picture of how things actually get done: how refunds are handled, how pricing exceptions are decided, how incidents get resolved.
It's built on the same intelligence layer that powers Trace for individuals, now shared securely across your whole team and always up to date. This is the collective side of what Trace is building: a personal and collective intelligence layer for the AI-native era.
Four things no wiki, no CRM note field, and no chatbot can do alone.
Not a knowledge base your team has to feed. A record of how your company actually works, built automatically from work they're already doing.
Onboards new hires instantly.
A new rep opens a tab on an account and already sees what was discussed last quarter, the pricing agreed, the objection raised, without waiting on a handoff doc that was never written.
Answers questions a wiki can't keep current.
Ask "what's our policy on X" and get the precedent from real, recent decisions, not a page nobody's touched since last year.
Grounds every AI tool in the same facts.
Sales copilot, support bot, internal agent: whichever AI your team plugs in reads from the same current, shared graph, so their answers stop disagreeing with each other.
Nothing leaves your infrastructure unless you say so.
The tool that ends up knowing everything your team works on has to be one your security team actually trusts. Trace is built local-first, not cloud-first, so enterprise control is the default, not an add-on you configure later.
Local by default.
Every indexed page, document, and conversation stays on-device unless your team explicitly turns on sync.
Bring your own cloud, or none.
Connect Ollama locally, or your own AI provider keys. Nothing is sent anywhere unless you choose to.
Full data ownership.
Bring your own Supabase instance for sync, so your company's knowledge graph lives on infrastructure you control, not ours.
Auditable, not a black box.
Trace ships with an auditable codebase, so your security team can verify what it does instead of taking our word for it.