EmpireVault Knowledge Base vs Slite

EmpireVault Knowledge Base is a public article portal that also feeds EmpireVault’s in-app Help Assistant and suggested ticket replies. Customers can search published content, browse nested categories, and vote on article helpfulness without signing in. Authors work in a rich editor supporting images, embedded video, code blocks, callouts, inline links, and editable SEO descriptions and slugs. Draft changes can remain separate from the published version, and approval workflows are available. Reporting covers views, helpfulness votes, and search queries, while surfacing heavily viewed articles that remain unresolved or receive many negative votes. The Help Assistant uses knowledge-base passages to answer questions and can offer ticket creation when no answer is found. EmpireVault lists REST API access, signed webhooks, and Civo S3-compatible storage. It supports API, extension, and web platforms, public publishing, SSO, analytics, e-signatures, quote tracking, CRM integrations, and custom branding. Pricing starts at $39 a month per seat, with a 21-day trial and no free plan.

Slite is an AI knowledge base for teams, with tools for keeping shared information accurate and verified. Its Knowledge Management Panel surfaces documents that need attention and supports bulk actions; verification helps teams identify relevant information. Slite Agent searches connected tools, detects knowledge drift, drafts document changes, and routes them to a reviewer. Integrations include Google Drive, Slack, Linear, GitHub, Jira, Notion, Airtable, and BigQuery, with Figma and Loom embeds. The Basic plan includes MCP and API access; Slite describes using verified knowledge with tools such as Claude, ChatGPT, and Cursor. Basic costs $10.00 per user per month billed yearly, and Pro costs $20.00 per user per month billed yearly. Signup starts a 14-day trial of Basic and Pro features without a credit card; a subscription is required afterward, and there is no free plan. Slite says production data is hosted in the EU, protected with TLS in transit, and encrypted at rest. It does not currently offer end-to-end encryption. The company says customer data used for AI features is not used to train external models.