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Overmind

Overmind provides a Voice Operating Layer that lets enterprise employees ask questions in natural language and receive sourced, versioned answers from approved company knowledge. The platform combines a Knowledge Structuring Engine, conversational voice interface, and a human governance layer to ensure answers are evidence-based and new knowledge is reviewed before becoming official. It supports use cases including maintenance, shift handovers, customer service, and knowledge transfer.

Traction 1/10
London, United Kingdom · HQ
Founded 201214200+ followers
  • AI Agents
  • Enterprise Software
  • Artificial Intelligence
  • Software Only
Updated 8 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprise teams lose time switching between tools, searching for scattered information across handbooks, PDFs, and colleagues' memories, and manually documenting actions. In operational environments, finding the right knowledge at the right moment is slow, and untrained or outdated information can lead to costly downtime and errors. Voice interactions commonly remain limited to simple queries and cannot execute actions or provide verifiable answers in business systems.

Solution

Overmind builds a Voice Operating Layer that enables employees to ask questions in natural language and receive sourced, versioned answers from approved company knowledge, while also guiding them through next actions. The platform combines a Knowledge Structuring Engine (KSE) that organizes sources and versions, a Voice module that conducts conversational dialogs with clarifying questions, a Frontend that makes answers and open questions visible, and a TalkTo governance layer where humans review and approve new knowledge before it becomes official. This makes documented knowledge and open gaps explicitly distinguishable, ensuring decisions are grounded in evidence. The solution supports use cases in maintenance, shift handovers, customer service, and knowledge transfer, with voice and text input options.

Target Audience

Primary customers are enterprise companies in industrial maintenance, machine building, and customer service, targeting executives and operational teams including COOs, CISO/Legal, CSO, and CPO roles who need to control business processes through voice while maintaining governance and audit compliance.

Features

  • Voice-first interface with chat fallback, enabling hands-free operation in environments where typing is impractical
  • Knowledge Structuring Engine (KSE) that stores approved knowledge with visible sources and versions
  • Conversational engine that asks clarifying questions and labels which information is confirmed and which remains open
  • TalkTo governance layer where responsible people review, approve, and release new knowledge suggestions
  • 4C framework orchestrator that decides between data queries, tool actions, and escalations based on conversational context
  • Policy Gate that validates role, context, risk, and data before each action, supporting low, medium, and high confirmation levels with SSO/PIN step-up for high-risk operations
  • Tool contracts with schemas for required fields, value ranges, and validation, including error paths with retry, timeout, and circuit breaker mechanisms
  • Exchange ledger and evidence bundles that record intent, actor, sources, policies, decisions, and actions with replay capability
  • PII redaction, masking, and policy-driven retention for GDPR-compliant data handling
This profile is AI-generated and may contain inaccuracies.