everfind | All your documents and emails in one AI workspace.

What

everfind is an AI workspace for company knowledge that brings documents and emails from multiple business systems into one searchable interface. It is designed for SMEs and mid-size teams that work across tools such as Gmail, Outlook, Google Drive, SharePoint, Slack, or Teams and need faster access to scattered information.

The product’s core workflow is to connect existing sources, index them without file migration, and let users either search for files or ask questions in plain language. Its positioning appears to be a workplace search and AI assistant layer for operational knowledge, with added structure for document-heavy use cases such as invoices, contracts, reports, and email-based retrieval.

Features

• Unified workplace search: Searches across connected apps from one interface, reducing the need to remember which inbox, drive, or folder holds a file.
• AI question answering with citations: Lets users ask natural-language questions and receive summarized answers linked back to source documents for verification.
• No-migration setup: Connects existing data sources and starts indexing without requiring teams to move files into a new repository.
• Automatic document categorization: Identifies document types such as invoices, receipts, emails, quotations, and contracts to improve sorting, review, and analysis.
• Structured document views: Supports detail, list, and table views so teams can inspect files in formats that fit browsing, operations, or record review.
• Multi-source support: The page explicitly lists support for Google Drive, Google Mail, Outlook, Jira, IMAP, and NFS; FAQ content also mentions other environments, though some of those references are broader than the supported-app list shown.

Helpful Tips

• Check connector coverage carefully before rollout, since the page shows some sources as supported and references others more generally in FAQ content without equally explicit implementation detail.
• Validate access controls for your internal use case, because the site says access will be role-based, which suggests some permission features may still be evolving.
• Use a pilot with a document-heavy team such as finance, operations, or legal, where invoice tables, contract retrieval, and cross-mailbox search can show value quickly.
• Test answer quality on real internal queries and verify the cited sources, especially for analytical questions that summarize multiple documents over time.
• Review data residency and security requirements early if they matter to procurement, as the site emphasizes Germany hosting, encryption, GDPR alignment, and CASA Tier 2 certification.

OpenClaw Skills

everfind could fit well into the OpenClaw ecosystem as a knowledge retrieval layer for agent workflows that need grounded access to internal documents and email. Likely use cases include skills for invoice lookup, contract extraction, project correspondence summaries, onboarding Q&A, and evidence-backed answers for finance or operations teams. Based on the page, this would most naturally rely on everfind as the indexed knowledge source rather than as a full system of record.

In a broader OpenClaw setup, agents could likely use everfind search and cited answers to trigger downstream workflows such as drafting replies, preparing approval packets, summarizing account history, or compiling due diligence materials. This is an inferred workflow opportunity rather than a confirmed native integration, but the combination could materially improve how knowledge workers handle fragmented business information by turning document search into a step inside larger automated processes.