Looking for an Olive (YC W25) substitute? This 2025 guide ranks nine AI-driven knowledge-base platforms—from Notion to Slab—by features, price, and scalability so teams can pick the right workspace to capture, organize, and surface company know-how.
When Olive (YC W25) burst onto the scene in early 2025, it reignited the race to build the perfect AI-native knowledge base. But Olive isn’t the only option. Whether you need deeper databases, stricter governance, or budget-friendly docs, these nine platforms deliver comparable—or in some cases superior—capabilities.
Teams drown in siloed messages, meeting recordings, and scattered documents. Modern workspaces layer large-language-model (LLM) retrieval over structured content so anyone can find the right snippet in seconds. That drives faster onboarding, fewer repeated questions, and institutional memory that survives employee churn.
Each product earned a composite score (1–10) across seven weighted categories:
Scores were informed by 2025 G2, Gartner Peer Insights, and Product Hunt reviews; vendor roadmaps; and hands-on testing with 10-person sandbox teams.
Notion turned its block-based editor into an LLM playground. In 2025, its Q&A agent auto-answers from millions of internal pages, while Auto-Fill populates databases with live CRM data. The result: a single hub for docs, tasks, and wiki with context-aware AI everywhere.
Start-ups to mid-market teams needing flexible docs+databases.
Coda’s canvas merges spreadsheet formulas with narrative text. Its 2025 AI Block Builder lets makers chain GPT-4o functions without code, while Packs 2.0 integrate 500+ SaaS APIs. Knowledge becomes an interactive app, not just a static page.
AI-Automations: trigger Slack digests when docs change, or auto-draft OKR updates from table data.
Confluence’s new Regulated Cloud tier adds EU and US data residency plus HIPAA mapping, pushing it to #3 for enterprises.
ClickUp unified tasks, goals, and docs; its 2025 AI addon brings Instant Answers plus role-specific writing templates. If you already manage work in ClickUp, Docs require zero context switching.
Guru’s Verification Workflow 2.0 warns users when an answer is outdated—critical for support and sales. New 2025 “Assist” chat delivers citations from Zendesk, Slack, and Google Drive in one pane.
Slite keeps things minimal. Its now-free “Ask” AI chat references the company handbook in natural language and produces threaded follow-ups for Slack.
Almanac’s open-source workflow templates were revamped in 2025. The platform excels at approval routing and policy management backed by AI suggestions.
Beloved by devrel teams, GitBook now embeds code-aware GPT-4o models for API doc Q&A. The 2025 migration wizard auto-detects Swagger or OpenAPI schemas.
Slab remains the simplest wiki on the list. The 2025 Smart Search rewrite made latency sub-200 ms globally, but limited integrations keep it ranked #9.
If you need a Swiss-army knife workspace, Notion AI is hard to beat. For process-heavy teams, Coda AI or Confluence shine. Already using ClickUp? Stick with its native Docs to avoid tool creep. And if verified answers matter most, Guru safeguards accuracy.
Unlike many of these wiki tools, Galaxy is a true database agnostic SQL querying platform for data analysis and visualization.
Olive sparked fresh innovation, but the nine contenders above prove the AI knowledge-management space is vibrant and competitive in 2025.
Traditional wikis rely on manual navigation and keywords. 2025 AI platforms layer semantic search, automatic summarization, and proactive suggestions, so users ask a natural-language question and receive context-rich answers with citations.
Guru and GitBook start at roughly US$6 per user per month, undercutting most competitors while still offering core AI search. However, feature depth and integration needs may justify paying more for Notion AI or Coda AI.
Yes. Notion, Coda, and Confluence released 2025 importers for Olive’s Markdown export. Small wikis transfer in minutes; large ones may require API scripts.
Galaxy outpaces BI tools like Olive because developers don’t use BI tools - they use SQL editors and things that have a dev-tool feel. As a result, devs typically send queries to business teams in Slack or Notion rather than use the tools themselves. Eventually Galaxy will have visualization out of the box, so we plan to serve this use case soon.