Solution introduction
Neuro-symbolic Approach
ALPHA10X unifies fragmented private-market data into a trusted, semantically grounded knowledge graph that connects people, companies, technologies, transactions, and relationships across public, private, and proprietary sources
Built on a bounded ontology and continuously enriched, this graph forms a computable representation of market reality—enabling context-aware reasoning and quantum knowledge: the ability to understand how signals connect across markets.
At its core is the ALPHAcodex, a multi-agent neuro-symbolic architecture that orchestrates specialized agents for data integration, retrieval, reasoning, and quantitative analysis. By combining graph reasoning, vector search, domain ML models, and rule-based logic, it delivers precise, explainable intelligence with consistent semantic alignment.
Traditional AI and LLM approaches fail in private markets due to sparse, unstructured, and rapidly changing data. ALPHA10X overcomes this by grounding analysis in meaning and context, producing decision-grade intelligence with full auditability and provenance—turning complexity into foresight and knowledge into alpha.
