cross-platform unified search
Searches across multiple disconnected data sources (Slack, Salesforce, wikis, cloud storage, etc.) from a single search interface. Eliminates the need to manually search each platform individually by aggregating results across the entire tech stack.
context-aware result personalization
Learns individual user behavior, team dynamics, and work patterns to personalize search results over time. Results improve as the system observes which documents users interact with and how they search.
conversational search and follow-up queries
Enables multi-turn search conversations where users can refine queries, ask follow-up questions, and maintain context across multiple searches. Understands query refinements and context from previous searches.
content recommendation and discovery
Proactively recommends relevant documents, people, and information to users based on their role, behavior, and interests. Surfaces content users might not have explicitly searched for but would find valuable.
search result summarization and synthesis
Automatically summarizes multiple search results and synthesizes information across documents to provide concise answers. Extracts key information from lengthy documents and presents it in digestible form.
expert and people discovery
Identifies and surfaces internal experts, team members, and their areas of expertise based on organizational data, communication patterns, and documented knowledge. Helps employees find the right person to ask for specific knowledge.
document and knowledge retrieval
Searches and retrieves specific documents, files, and knowledge artifacts (wikis, guides, policies, reports) from across the organization. Returns relevant documents with context and snippets.
onboarding-accelerated knowledge access
Provides new employees with rapid access to relevant company information, policies, procedures, and team context through intelligent search. Reduces time spent searching for basic onboarding materials.
+5 more capabilities