Unleash

Indexes and searches across multiple disconnected SaaS platforms, databases, and internal systems from a single search interface. Eliminates the need to switch between different tools to find information.

Interprets conversational, natural language search queries rather than requiring exact keyword matching. Understands context, synonyms, and intent behind user questions.

Automatically crawls, indexes, and maintains searchable indices across connected platforms including Slack, Notion, Salesforce, and other enterprise tools. Keeps indices updated with new data.

Provides pre-built connectors and integration workflows for major enterprise tools like Slack, Notion, Salesforce, and others. Handles authentication and data synchronization.

Breaks down information barriers between teams and departments by making all indexed data discoverable through unified search, reducing tribal knowledge and improving organizational knowledge sharing.

Ranks search results based on relevance, recency, and contextual importance rather than simple keyword frequency. Learns from user behavior to improve ranking over time.

Measurably decreases the time knowledge workers spend searching for information across multiple platforms by consolidating search into a single interface with intelligent results.

Respects and enforces existing access controls and permissions from source platforms, ensuring users only see search results they have permission to access. Maintains security boundaries across integrated systems.

Provides rich previews and contextual information for search results, including snippets, metadata, source information, and related content to help users understand relevance before clicking.

Manages indexing, searching, and retrieval across large volumes of enterprise data without performance degradation. Handles concurrent users and complex queries at scale.