
Guru
AI-powered knowledge management and search platform
Enterprise AI knowledge platform with permission-aware Knowledge Agents that deliver trusted, cited answers from your company's verified knowledge base across all workflows.
Overall Rating
4.3
334 reviews
Features4.3
Ease of Use4.5
Support4.3
Value4.2
Performance4.3
Company Information
Founded
2015
Headquarters
Philadelphia, PA, USA
Company Size
201-500 employees employees
Funding
$96M+ total funding (Series C led by Emergence Capital)
Pros
- Permission-aware AI is unique differentiator - answers respect real-time access control
- Enterprise-grade security: SOC 2, GDPR, zero LLM data retention, private models
- Verified knowledge base with expert verification workflows ensures accuracy
- Comprehensive integrations: Slack, Teams, Salesforce, Zendesk, ChatGPT, Claude
- MCP Server enables connection to any AI tool without rebuilding RAG pipelines
- Transparent citations to exact source locations (slide 8, specific Card) build trust
- Research Mode for complex queries generates structured multi-source reports
- Strong developer ecosystem: REST API, Python SDK, webhooks, integration platforms
- Active community, Guru University training, exceptional customer support
- Mature platform (founded 2015) with enterprise-proven scalability
- Multi-lingual support: content in all languages, 50+ language translation
- No-code interface for business users to manage knowledge and agents
Cons
- Per-user pricing ($25/user/month minimum) can be expensive for large teams
- 10-user minimum for self-serve plan ($250/month baseline cost)
- Cloud-only - no self-hosted or on-premise deployment option
- No public-facing chatbot deployment focus (primarily internal knowledge tool)
- Limited UI customization for external embedding (not white-label friendly)
- Model selection abstracted away - less control over specific LLM choices
- AI usage limits based on credits - high-volume use may require Enterprise plan
- Not ideal for consumer messaging channels (WhatsApp, Telegram, SMS)
- Guru app interface English-only (though content supports all languages)
- Primarily oriented to internal knowledge management vs. external customer support
Best Use Cases
Enterprise internal knowledge management with AI-powered search and chat
IT helpdesk and employee self-service support automation
Sales enablement with instant access to product info, playbooks, and competitive intel
Customer support teams needing quick access to policies, procedures, and documentation
HR knowledge base for employee policies, benefits, onboarding information
Marketing teams centralizing brand guidelines, messaging, campaign details
Compliance and regulatory knowledge management with permission controls
Cross-functional knowledge sharing in large organizations (1,000+ employees)
Remote/distributed teams needing centralized, accessible company knowledge
Organizations requiring audit trails and governance for AI-generated answers
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