A programmable decision layer for your data. Instructions, policies, and context as metadata for automation and agent-based systems.
Metatate keeps business logic, policies, and access rules as structured, machine-readable instructions for platforms, agents, and workflows.
Policies, access rules, and business meaning stay with your data as versioned metadata.
Define conditional logic, time-based rules, and cross-system constraints to query and execute programmatically.
Ask "Can this data cross regions?" or "Which attributes are safe to use for this ML feature?" and get structured, informative answers.
Author and deploy data policies, enrich tables with business meaning, validate intended uses, and expose that context for agent workflows.
Context stored in separate systems
Structured, machine-readable context attached to data
Passive documentation
Operational, decision-grade instructions
Static tags—agents infer intent
Programmable logic—agents query and execute
Rigid implementations that break with updates
Deploy once, version and evolve over time
Structured metadata that agents can parse, query, and enforce. Context moves with data, not in external documentation.
Business logic, data contracts, policies, lineage, and access rules as structured, machine-readable context.
Agents evaluate dynamic business rules instead of relying on hardcoded branches or human interpretation.
Context layers are versioned, allowing policies to evolve over time.
Context that moves with your data. Agents and systems can coordinate, enforce policies, and validate compliance without manual oversight.
Agents combine data from multiple sources understanding calculations, relationships, and constraints without human translation.
Systems apply complex business logic consistently across workflows.
Governance happens automatically because agents understand constraints.