Data & Memory Layer

Enterprise AI grounded in company context

Glean connects enterprise information through search, a company knowledge graph, and permissions-aware AI assistants and agents that answer questions and act across workplace systems.

Knowledge and long-term memory for AI

Pinecone supplies managed vector search and AI knowledge infrastructure, helping developers retrieve relevant context and build grounded applications without operating their own search systems.

Memory as reasoning about people and agents

Plastic Labs builds Honcho, an AI memory and reasoning system that models people and agents over time so applications can personalize behavior around individual users.

Contextual data powers trusted AI decisions

Quantexa resolves entities and builds contextual relationships across enterprise data, giving organizations a trusted foundation for AI decisions, investigations, and risk management.

Expert data for specialized models and agents

Snorkel develops expert training data, evaluation datasets, and simulated environments that help frontier labs and enterprises specialize AI models and deploy domain-specific agents.

A unified data foundation for the AI stack

VAST Data unifies storage, databases, and real-time processing in an AI operating system designed to move data across model training, inference, and agent workloads.

Expert research can become continuous infrastructure when interviews, source evidence, and institutional context are connected through AI-assisted workflows

Qualitate combines AI-moderated expert interviews, transcript research, and continuous market signals to help investors and enterprises build reusable primary intelligence.

Licensed real-world data for AI builders

Protege connects AI developers with licensed real-world data, organizing rights-cleared audio, video, health, and other specialized datasets for model development.

Document intelligence becomes reliable enterprise data

Hyperscience uses proprietary machine learning and human review to turn complex documents into structured, reliable data for automated business processes and AI applications.

Foresight brings unified data and AI workflows to private-market investing

Foresight connects private-market data, portfolio monitoring, and investment workflows, using AI agents to extract information, analyze companies, and support fund decisions.

Verified business identity for workflows and agents

Enigma resolves business identities across public and private data, giving financial workflows and AI agents verifiable company records, relationships, and operating signals.

External data can become an on-demand utility, with a common ontology connecting fragmented datasets to usable business and AI insights

Carbon Arc turns licensed external data into structured intelligence that businesses and AI systems can access on demand through an exchange with consumption-based pricing.

Company knowledge becomes usable workflows

Askollo connects company tools and knowledge so teams can search scattered information, run AI workflows, and produce outputs with visible sources and auditability.

Aaru uses simulated populations to predict consumer, market, and political behavior

Aaru simulates populations of AI agents grounded in demographic and behavioral data, helping businesses model consumer choices, market responses, and strategic decisions.