The service enhances cross-functional collaboration through features like source filtering (e.g., limiting searches to Slack threads or specific date ranges) and integration deep dives—viewing full Jira ticket details without leaving the platform. Everfind’s semantic search capabilities bridge terminology gaps between departments, surfacing relevant engineering specs for product managers or customer requirements for developers. Privacy safeguards include encrypted data handling and automatic deletion of sensitive content, while role-based access controls ensure information security. Scalable pricing tiers accommodate growing teams, from individual contributors to enterprise-scale deployments.
Everfind prioritizes adaptability with customizable LLM options (including Google Gemini) and workflow-specific optimizations for product, engineering, and QA teams. The platform’s clean interface features collapsible panels for focused searches and quick access to frequent queries, balancing simplicity with depth. While currently in private beta, its roadmap emphasizes advanced analytics for tracking search patterns and optimizing knowledge retention. By transforming scattered data into actionable insights, Everfind empowers teams to accelerate decision-making and maintain institutional knowledge through personnel changes.
Key features include:
- Natural language search across integrated apps
- Real-time synchronization with Jira/Confluence/Slack
- Context-aware document summarization
- Cross-departmental terminology bridging
- Role-based access controls
- Decision history tracking
- Customizable LLM integrations (e.g., Google Gemini)
- Source-specific filtering (Slack/Jira/docs)
- Encrypted data handling
- Scalable tiered pricing (Free/Pro/Business)