Starmind

Starmind builds a dynamic, self-learning map of organizational expertise by using signals from collaboration, communication, and content systems rather than relying on manual input or outdated organizational charts. It identifies topics and experts based on real interactions, creating evolving graphs that adapt as the organization changes.

The software instantly matches employees to the right internal expert directly within Microsoft Teams or Slack when they need assistance. Experts are identified based on their public work contributions rather than outdated directories or job titles. This capability enables the employees to connect with knowledgeable colleagues in minutes instead of weeks.

The platform ensures business-critical information is never lost or outdated by continuously capturing, organizing, and updating expert-verified answers. It makes the most relevant knowledge easy to find and reduces expert fatigue by storing answered questions in a searchable repository. Over time, this decreases repeated queries as knowledge becomes more accessible, preserving institutional wisdom even when employees change roles or depart the organization.

The software accelerates innovation cycles by connecting R&D teams with technical experts across the entire organization instantly. It captures specialized scientific knowledge from documents, tickets, and communications, making breakthrough insights accessible when researchers need them most.

This feature optimizes supply chain operations by connecting procurement, logistics, and operations professionals with experts who understand vendor relationships, regulatory requirements, and process improvements. This reduces disruptions, accelerates decision-making during supply chain challenges, and maintains operational continuity even as team members transition roles.