Bloomfire is enterprise knowledge base software that governs company knowledge and grounds AI agents in it, sold by custom quote rather than per user.
Bloomfire gives a large organization one governed source for its policies, procedures and expert answers, then supplies that knowledge to AI as trusted context. Bloomfire Inc., an independent company based in Austin, Texas, builds and sells it. The problem it targets is enterprise AI that answers from a few retrieved documents and misses the wider business context. Content stays in the systems that already hold it, existing permissions apply at retrieval, and each answer links back to its source. At the core sits the Enterprise Intelligence Engine, which connects knowledge sources and maintains a Persistent Semantic Memory of the facts, concepts and relationships across them. Authors draft, review and publish in the AI Knowledge Management App under one approval process, and secure access groups keep restricted content with cleared teams. AI Author Assist summarizes documents and refines tone, while Self-Healing Knowledge workflows resolve duplicate and conflicting content. Synapse, the conversational AI, answers natural-language questions with citations, a confidence score and a full reasoning trace. The analytics suite reports trending and abandoned searches and member activity, and readers like, comment on or flag content for review. Bloomfire suits knowledge managers in large enterprises who answer for what employees and AI agents are told. It is built for high-stakes work, where an answer may be cited in a meeting, shared with a customer or presented in a compliance review. Organizations whose knowledge is spread across many systems get one governed layer without migrating anything. Teams standing up AI agents of their own use it as the context those agents reason from. Employees ask questions inside Microsoft Teams, Slack or Salesforce and get a sourced answer without opening a separate portal. The Universal Connector Framework brings in content from SharePoint, Google Drive and Confluence while the files stay where they are. A support lead can embed Synapse in the company website or customer portal, so customers see the same certified answers as staff. Developers point their own models and agents at the engine through MCP. Learning Studio turns existing material into learning guides and knowledge checks, so new hires study from the same knowledge the AI answers from.
Features
- Not included: WYSIWYG and Markdown editor
- Not included: Article version history with rollback
- Included: Review and approval workflow
- Included: Private knowledge base with reader groups
- Not included: Full-text search with suggestions
- Not included: Article translation workflow
- Not included: Reusable snippets and variables
- Not included: Article templates
- Not included: Category and tag organisation
- Not included: SEO settings for public articles
- Included: Article helpfulness voting
- Included: Search and article analytics
- Not included: Custom domain and theming
- Not included: Content review reminders
- Not included: Import and export of articles
- Not included: Knowledge base API
- Included: AI writing assistant for articles
- Not included: Real-time collaborative editing
Additional Features
- Enterprise Intelligence Engine
- Persistent Semantic Memory of facts, concepts and relationships
- AI Knowledge Management App for authoring and moderation
- Draft, review and publish approval states
- AI Author Assist for summarizing documents and refining tone
- Secure access groups for restricted content
- Synapse conversational AI with citations and confidence scores
- Full reasoning trace on every Synapse answer
Best for
- Large enterprises grounding internal AI agents in approved company knowledge
- Knowledge managers who own policies, procedures and best practices
- Organizations with knowledge spread across SharePoint, Google Drive, Salesforce and Teams
- Regulated teams whose answers must hold up in a compliance review
- Support teams putting certified answers in a website or customer portal
- Buyers who want a scoped fixed price instead of per-user licensing
Use cases
- grounding an in-house AI agent in approved company knowledge
- answering employee questions with cited sources inside Microsoft Teams or Slack
- drafting and approving policies and procedures before they go live
- resolving duplicate and conflicting articles
- restricting sensitive content to secure access groups
- finding what employees search for and fail to find
- embedding a conversational answer engine in a customer portal
- turning existing knowledge into learning guides and knowledge checks
- connecting SharePoint, Google Drive and Confluence content without migrating it
- summarizing long documents into knowledge articles with AI Author Assist
- connecting an AI model to company knowledge through MCP
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