Reattend positions itself as an enterprise “organizational memory layer.” Rather than being a traditional wiki or search tool, it automatically captures, links, and makes traceable the decisions, rationale, and context found across meetings, Slack/email, documents, code, customer information, and vendor information. Its core value is reducing organizational amnesia caused by employee turnover, repeated decision-making, and new hires lacking background context.
The product is organized around six pillars: Capture, Connect, Recall, Run, Govern, and Deploy. It can capture information from Slack, Gmail, Notion, Drive, GitHub, meetings, OCR, voice, and other entry points, while AI handles classification, deduplication, entity extraction, and knowledge graph construction. Users can ask questions in natural language and receive answers with citations. It also supports a Time Machine feature for looking back at the state of knowledge on a given historical date. Going further, Reattend offers contradiction detection, duplicate-work alerts, policy guardrails, and agents for onboarding, exit interviews, vendor reviews, and more. On permissions, it emphasizes record/cell-level RBAC, department-level access controls, SSO/SAML, SCIM, channel-level toggles, and access revocation after employee departure.
Pricing is relatively straightforward: Solo is free forever; Professional is $19 per seat/month; Enterprise is $29 per seat/month with a 5-seat minimum, and annual billing saves 20%. All paid plans include a 45-day card-free trial. Integration messaging is somewhat inconsistent: the page claims 200+ integrations, while also explicitly stating that the currently live integrations are Slack, Notion, Gmail, Google Calendar, Google Drive, and GitHub, with new ones added weekly. For developers, it offers a REST API, Webhook, CLI, and Zapier support.
The security story is fairly comprehensive: RBAC is enforced before LLM retrieval, with hash-chained/WORM audit logs, TLS 1.3, encryption at rest, EU/US data residency, zero-retention model APIs, and no use of customer data for model training. That said, SOC 2 and ISO 27001 audits are not yet complete, and customer-managed KMS is still on the roadmap. Deployment options include SaaS, dedicated tenant, VPC, on-premises Kubernetes, and air-gapped environments, though the FAQ also indicates that on-premises/isolated deployments are tied to the needs of the first regulated customer, so buyers should confirm delivery status before procurement.
Its strengths are a focused use case, permissions and citation mechanisms that align well with real enterprise AI adoption pain points, and a low barrier to trial. The downsides are that some marketing metrics and delivery status claims need verification, and compliance certifications are not yet in place. It is suitable for knowledge-intensive teams, mid-sized enterprises, regulated industries, and organizations that need smoother handovers, decision reviews, and faster onboarding.
The main content does not provide information on mainland China network accessibility, a Chinese-language interface, RMB payments, or local compliance. Paddle may support international payments and tax handling, but the specific methods are not listed. Teams in China may also want to evaluate alternatives such as Notion, Confluence, 飞书知识库, 语雀, and Glean.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on reattend.com official site.
reattend.com is an United States SaaS Tools provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach reattend.com directly.