For Investors
Company knowledge that doesn't leave when people do.
Theo is an AI knowledge system that captures the institutional knowledge companies lose every time someone leaves — the process nobody wrote down, the decision only one person remembers, the exception that lives in one inbox.
The problem
Every company has the same hidden failure mode: the real "how things work" knowledge lives in Slack DMs, one person's inbox, or nobody's head at all. Existing AI tools summarize documents that already exist — none of them go looking for the knowledge that was never written down in the first place. That gap, between what a company has documented and what it actually knows, is expensive and invisible until someone leaves.
What Theo does differently
Theo connects to the tools a company already uses — Gmail, Google Drive, Slack, Notion — and extracts structured "skill cards": named processes with an owner, a confidence score, and a flag for what's missing or undocumented. When it finds a gap, it automatically generates an interview and reaches out on Slack to capture that knowledge directly from the person who has it, before it's lost. That capture mechanism — not just retrieval — is the core differentiator from enterprise search tools and generic AI assistants, which only work with what's already been written down.
Where things stand
Pre-revenue. The product is fully built — source ingestion, AI skill extraction with confidence scoring, automated gap detection, an expert-interview capture pipeline, a Slack-native bot, analytics, and seat-based billing are all live. Access is currently gated behind a waitlist while we build demand ahead of a broader rollout. A live, fully interactive demo is available at meettheo.ai/demo — no signup required.
Market context
Enterprise knowledge management is an active, funded category — enterprise search platforms and AI workplace assistants have both raised significant capital recently, validating that companies will pay for AI-native tools built around their internal knowledge. Theo is positioned differently from both: not a search layer over existing documents, and not a task-execution agent, but the capture mechanism that makes sure the knowledge exists to search or act on in the first place.
Interested in learning more?
We're happy to share more detail on the product, roadmap, and traction.
investors@meettheo.ai