quality, fragmented definitions, and ungoverned business logic scattered across tools, teams, and platforms. Coginiti solves this by unifying the full lifecycle of business meaning: from development and testing through semantic definition, governance, and enterprise-wide consumption.

The platform includes two purpose-built AI agents: Coginiti Smith helps data teams define and govern the universal semantic graph — standardizing metrics, authoring transformations, and encoding business context. Coginiti Guide enables business users and AI applications to query governed data in natural language, operating within the semantic contract Smith defines.

Core capabilities: 21+ native data platform connections, CoginitiScript for modular analytics, a shared catalog with version control and code review, data lineage, agent observability, enterprise API access (JDBC/ODBC, REST), and native orchestration.

What makes Coginiti different:

Unlike tools that start at metric definitions and work outward, Coginiti was built from data operations upward. The semantic layer is the capstone of a comprehensive DataOps workflow — not a standalone product. Every metric traces back to the development, testing, and review that produced it.

Coginiti connects to 21+ platforms including Snowflake, Databricks, BigQuery, Redshift, Oracle, SQL Server, and legacy systems. It deploys in cloud, hybrid, on-prem, and air-gapped environments with IL2-IL6 security and Zero Trust architecture.

300+ organizations across government, defense, healthcare, financial services, and retail trust Coginiti to operationalize the meaning of their data.