It continuously connects to conversations, documents, and tools to capture context and preserve institutional knowledge without manual effort. The platform organizes inputs into a living memory that teams can query and rely on over time.

Language models are used to summarize, tag, and surface relevant information, converting scattered notes into concise summaries, action items, and follow-ups. This reduces repetitive work and keeps important context discoverable.

Built for teams, it integrates with common workflows to speed onboarding, reduce information loss, and help collaborators find answers faster — keeping projects aligned without extensive documentation.