DaaX provides AI agents that can query both structured and unstructured enterprise data sources in a single request, delivering concise, truth‑verified answers. Its patent‑pending Neuro‑Symbolic AI Engine combines large language models with 3D knowledge graphs to ensure factual grounding and reduce hallucinations, while offering real‑time citations, enterprise‑grade security, and easy integration via APIs and SDKs.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often store information in multiple isolated systems—databases, document repositories, and legacy applications—making it difficult for employees to locate accurate answers quickly. Traditional search tools struggle to interpret unstructured content and cannot guarantee the reliability of retrieved information.
Solution
DaaX provides AI agents that can query both structured and unstructured enterprise data sources in a single request, delivering concise answers that are verified for truthfulness. The agents are powered by a patent‑pending Neuro‑Symbolic AI Engine that combines large language models with 3D knowledge graphs, enabling semantic understanding while preserving factual grounding. By indexing data across silos and applying symbolic reasoning, the system reduces hallucinations common in pure LLM approaches. Results are presented through an intuitive interface that can be integrated into existing workflows and applications. This unified search capability accelerates decision‑making and lowers the time employees spend manually gathering information.
Target Audience
Primary customers are large enterprises and mid‑size organizations that need reliable, cross‑system knowledge retrieval for knowledge workers, analysts, and support teams.
Features
- Unified querying of databases, document stores, and legacy systems without manual data integration
- Neuro‑symbolic engine that merges LLM language understanding with 3D graph‑based reasoning for factual accuracy
- Real‑time answer generation with source citations to support verification
- Plug‑and‑play API and SDKs for embedding AI agents into internal tools, portals, and chat interfaces
- Enterprise‑grade security and access controls to enforce data governance across all connected sources