Progress Data Platform

Production-grade performance for AI and mission-critical apps delivers fast retrieval, low latency and reliable throughput as usage scales.

Built-in security, governance and audit within the data layer reduce exposure and enable AI experiences that inherit enterprise controls by default.

One foundation for structured and unstructured data eliminates fragmentation and empowers teams to build AI on a single, consistent knowledge layer.

Higher answer quality and relevance precision by adding meaning, relationships and intent, moving beyond simple keywords or vectors.

Shared understanding across teams and use cases standardizes taxonomies/ontologies so AI aligns with how businesses define products, policies and concepts.

Trustworthy context at scale semantic models governed and consistent as adoption is implemented across departments.

Consistent, defensible outcomes AI insights with explicit rules and policies, so actions are explainable and repeatable. 

Compliance-ready automation operationalizes responsible decisioning that follows regulatory and internal requirements. 

Verifiable auditabillity proving what happened, why it happened and which rules or policies were applied. 

Connected pathway integrating data, apps and AI systems securely and with control without copying data or bypassing governance.

Hybrid and multi-cloud flexibility AI and data workflows wherever they make sense (on-premises, cloud or hybrid) without lock-in.

Safe agent access to enterprise systems provides controlled, auditable context via model context protocol (MCP) so agents can act responsibly inside real business processes.