Enterprise AI Search
Enterprise AISearch Systems
- Semantic search across all your knowledge bases
- 100% private — zero data leakage, SOC2 compliant
- Answers in seconds, not hours of manual searching
★★★★★ 4.9/5
based on 50+ enterprise deploymentsFrequently Asked Questions
RAG (Retrieval-Augmented Generation) connects an LLM to your private databases. Unlike public models like ChatGPT that rely on general training data, a RAG system retrieves exact information from your proprietary documents before generating an answer, ensuring accuracy and eliminating hallucinations.
Absolutely. We deploy enterprise-grade RAG architectures within your private cloud or on-premise infrastructure. Your data never leaves your environment and is never used to train public AI models.
We can connect to virtually any structured or unstructured data source, including SharePoint, Google Workspace, Notion, Confluence, SQL/NoSQL databases, CRMs, and legacy ERP systems.
A typical deployment takes 6 to 12 weeks, depending on the complexity of your data infrastructure and security requirements. This includes data auditing, vectorization, custom UI development, and rigorous testing.