Workplace Search That Finds Context, Not Just Documents
Workplace Search that returns answers with company context saves time. Coworker connects across 40+ apps and indexes historical data so you get a complete answer, not a list of links, in seconds.
saved per knowledge worker weekly
fewer repetitive questions
product velocity increase
saved per 100 employees
Why Traditional Search Leaves Work Unfinished
Coworker indexes both structured and unstructured sources so you can search Slack, Jira, docs, and databases from one query. The system returns consolidated answers that reference sources and conversations for full traceability.
OM1 tracks 120+ dimensions of your org to prioritize results by role, project, and decision history. That memory lets Workplace Search surface the right expertise or document based on how work actually happens in your company.
Search respects your existing access controls and audit logs so users only see what they are allowed to see. Security stays intact while search becomes broader and more useful across the enterprise.
Workplace Search With Full Company Context
Context Is Missing From Results: Search tools deliver matches but not meaning. Teams waste hours stitching together conversations, decisions, and documents because results lack cross-tool context.
Siloed Systems Hide Expertise: Your best answers live in chats, meetings, and code reviews, not just documents. Traditional search treats those sources as separate, so tacit knowledge stays locked away.
Security Concerns Slow Adoption: Copying sensitive content into public models creates compliance risk and user distrust. Many teams avoid search tools when privacy or auditability is unclear.
Search Without Action Creates Work: Finding a document is only the first step. If search results do not connect to execution, teams still need manual follow-up and tasks fall through the cracks.
What Better Search Delivers for Your Teams
Teams stop hunting for context and start acting on it. Customers report reclaiming nearly a full business day per knowledge worker as answers arrive with the necessary decisions and dependencies attached.
Search queries return curated, contextual answers so repetitive lookups decline sharply. Faster access to the right information accelerates project velocity and shortens decision cycles.
Coworker surfaces who knows what, why a decision was made, and where things stand now. Teams spend less time coordinating and more time executing on priorities.
Fewer duplicated efforts and less tool sprawl translate to real savings. Enterprises see lower overhead as institutional knowledge becomes searchable rather than recreated.
Enterprise-Grade Security for Search and Memory
Connect 40+ Apps Quickly: Coworker integrates with Slack, Jira, GitHub, Google Workspace, and more so your search spans the systems teams rely on. Most customers connect core apps in minutes and have full indexing in under one day.
No Custom Coding Required: Prebuilt connectors and automated indexing mean IT can enable search without heavy engineering. The result is faster time to value and less internal lift for integrations.
Index Historical Data and Capture Memory: Coworker reads historical content to build OM1 so results account for past decisions and conversations. That memory improves relevance and preserves institutional knowledge.
Extendable Via APIs and Developer Tooling: Where you need custom workflows or embedded search experiences, Coworker provides APIs and developer hooks. Teams can integrate search outcomes into internal apps and dashboards.
Connects to your entire stack
100+ OAuth connectors. Permissioned and secure. Your agents work across every tool your team already uses.
Enterprise-Grade Security for Search and Memory
Coworker is SOC 2 Type 2 and GDPR compliant and passes third-party audits across multiple controls. You get independent verification of the controls that matter to enterprise security teams.
Your data is never used to train public models, preserving confidentiality. Queries and memory respect privacy while enabling rich, contextual search results.
Search results follow your existing permissions and generate audit trails for each access. Compliance teams get the visibility they need without blocking productive search.
Data never leaves your cloud unless you permit it, and end-to-end encryption protects data at rest and in transit. These controls help meet corporate and regulatory requirements.
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Learn moreFAQ
Frequently asked questions
Workplace Search respects your existing role-based access controls and integrates with your apps to enforce the same permissions. Audit logs record who queried what and which results were returned, giving security teams full visibility and control over search access.
Coworker does not use underlying customer data to train public models. Queries and OM1 memory remain within your controlled environment unless you explicitly permit broader use, keeping sensitive information protected while enabling enterprise-grade search.
Initial connections and indexing for core apps typically complete in under a day for pilot teams. Full historical indexing depends on data volume, but customers frequently start seeing useful search results within hours of connecting primary systems.
Yes. Search results can include suggested next steps and one-click actions such as drafting an email or creating a Jira ticket. That capability turns search into an operational tool so findings immediately convert to work that moves projects forward.
Coworker pairs search with OM1 organizational memory that tracks 120+ dimensions of your company, so results reflect decisions, relationships, and priorities. That cross-functional intelligence surfaces tacit knowledge generic tools miss and delivers context-rich answers rather than simple matches.
Coworker is architected for scale with efficient indexing and near real-time updates across large data volumes. Relevance signals and OM1 continuously adapt as roles and projects change so search quality improves rather than degrades at scale.
Coworker supports 40+ connectors including Slack, Jira, GitHub, and common cloud storage platforms. The integration grid covers the most-used enterprise tools and provides APIs for custom connections when needed.
Measure time saved per knowledge worker, reductions in duplicate work, and improvements in decision velocity to quantify ROI. Customers report reclaiming 8–10 hours per week and a 14% velocity increase after enabling contextual search and execution.
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