Commercial Enterprise
Semantic Intelligence for Complex Data Estates
For the CDO managing a data estate spanning multiple platforms — a cloud-only semantic layer won’t cut it.
The AI Readiness Gap Is Real
92% of organizations expect AI to transform their business. Yet Gartner predicts 60% of AI projects will be abandoned without AI-ready data.
The widest gap is in data quality: 44% of organizations cite it as the #1 obstacle, yet 67% cannot move GenAI pilots to production. The problem isn’t AI models. It’s analytic ignorance — business logic lost in spreadsheets, notebooks, and tribal knowledge.
83% of organizations have data governance programs — but only 30% report actual governance readiness. Having governance isn’t enough — it has to be operational.
Sources: Drexel LeBow / Precisely, 2026 · Gartner, 2026 · BARC, 2026 · Informatica, 2026 · Deloitte, 2026
One Platform. Every Data Source.
21+ Database Platforms
Your data estate is complex. Your semantic layer should be too.
Snowflake, Databricks, IBM Db2, Oracle, Apache Hive, SQL Server, PostgreSQL, and more. Cloud, on-premises, and legacy — Coginiti connects to 21+ database platforms, the broadest coverage in the industry. No rip-and-replace. No cloud-only limitations.
Full-Lifecycle DataOps
From Data Workbench to governed semantic layer in one workflow.
Develop queries in a professional Data Workbench. Extend them with CoginitiScript for modular, reusable analytics. Version, test, and collaborate through the Analytics Catalog. Promote trusted definitions into a semantic layer that serves AI agents, BI tools, and operational applications.
Organizational Knowledge Capture
When the people who built the logic leave, the organization retains what they knew.
In a market where only 20% of organizations report talent readiness for AI, institutionalizing knowledge isn't optional — it's existential. Coginiti captures queries, collaboration threads, test results, assumptions, and the operational context behind every definition.
From Governed Data to Trusted Decisions
The CDO’s real challenge isn’t adopting AI — it’s governing the business meaning that AI depends on. When your data estate spans Snowflake, Databricks, Oracle, and legacy on-premises systems, a cloud-only semantic layer creates another silo instead of eliminating one.
Coginiti unifies semantic definitions across every platform in your data estate. AI agents, BI tools, and operational applications all consume the same trusted definitions — governed, versioned, and auditable. When an AI agent references your semantic layer, it queries trusted business logic, not column names.
Pure semantic layers define metrics. Coginiti operationalizes the meaning behind them.
Trusted by Industry Leaders
Customer Spotlight
Blue Sky Specialty Pharmacy: Semantic Intelligence in Action
Blue Sky Specialty Pharmacy partnered with Coginiti to build a semantic foundation that enables teams to define, govern, and operationalize business logic across 50+ data products — powering patient portals, physician applications, and operational reporting across their multi-stakeholder healthcare ecosystem.
Ready to Operationalize Meaning Across Your Data Estate?
See how Coginiti unifies semantic definitions across every platform in your data estate.