Data & Vector Infrastructure

The data layer that powers AI applications at scale

Examples: Vector databases, embedding platforms, data pipelines for AI, feature stores, synthetic data generation

Context layer for production AI agents that connects business data into a queryable, unified knowledge store.

Open-source vector database and search infrastructure for AI applications, supporting vector, full-text, and metadata search.

AI-powered financial data infrastructure delivering auditable fundamental data for investment research and AI agents.

Fully managed vector database for building knowledgeable AI agents and semantic search at scale.

Open-source vector search engine for production-grade AI retrieval at scale, available as managed cloud or hybrid deployment.

AI-native vector database platform for building RAG, agentic AI, and hybrid search applications at scale.