An AI-native knowledge system for enterprise orchestration and operations, inserted at M&A integrations and transformations. We transform post-M&A integration starting at due diligence, capturing context, knowledge, decisions, timelines and learnings into an evolving knowledge graph (tau.KnoNet) that carries the deal thesis into execution and beyond, reducing risk, team friction and improving ROI on integrations.
The entry point into the Tautomatic platform. Processes the data room, meetings, and internal memos during diligence, ensures intelligence learned during meetings or risks identified are captured with their full context; monitors the RFI and tracks updates, flags cross-document gaps and contradictions, catches arithmetic inconsistencies across differing share bases, identifies missing or content-lite request-list items, and begins building the knowledge system for full knowledge retention and recall post-close. Tracks temporality of documents.
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AI-native, AI-curated knowledge system at the center of the platform, carrying knowledge from due diligence through active integration, post-close, and into business-as-usual operations. Integrates content, decisions, timelines and learnings into an evolving memory of the integration that compounds in value with time and use, and persists even when people leave.
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