Turn your organization's collective knowledge into an intelligent AI assistant. InfoLens uses advanced RAG technology to make your entire knowledge base searchable, queryable, and actionable—with enterprise-grade security.
Advanced RAG technology meets enterprise requirements
Combines semantic understanding with keyword precision. BM25 + Vector search with cross-encoder reranking ensures you find exactly what you need, every time.
Choose your trade-off: Simple RAG for speed, MCP Tools for multi-source queries, or Agentic RAG for complex reasoning with self-correction.
Flexibility to use OpenAI, Anthropic, Azure OpenAI, Ollama, or any OpenAI-compatible endpoint. Switch providers without changing your workflows.
Built-in Model Context Protocol support. Connect with Claude Desktop, Cursor IDE, and other AI tools. Your knowledge base becomes a universal AI tool.
Built for teams that value their institutional knowledge
Centralize company wikis, policies, and procedures. AI-powered search across your entire organizational knowledge.
Academic papers, course materials, and research notes. Multi-hop reasoning for complex questions.
API documentation, code repositories, and technical specs. Natural language access to technical knowledge.
Client data, case studies, and project documentation. Secure, role-based access with full audit trails.
Compare with other solutions
| Feature | InfoLens | SaaS Solutions | Vector DBs |
|---|---|---|---|
| Where Your Data Lives | Your servers | Their cloud | Your servers |
| Data Privacy Control | Complete control | Limited control | Complete control |
| Ready to Use | Yes, immediately | Yes, immediately | Requires dev |
| AI-Powered Q&A | Built-in | Built-in | Build yourself |
| Monthly Cost | Infrastructure only | $500-5000+ | $50-500+ |
| Time to First Value | 5 minutes | 5 minutes | Weeks to months |
Our vision for the future of enterprise knowledge management
PDF, DOCX, HTML, Markdown support. Automatic chunking and embedding generation.
PostgreSQL with pgvector extension. Scalable to millions of documents.
LangChain-powered retrieval with context-aware response generation.
Real impact for real businesses