High-performance, AI-safe self-service analytics with a governed semantic layer and beautiful dashboards
The Semantic Intelligence Platform for Trusted Business Logic
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
US
Pricing model
Freemium
Freemium
Pricing
Free: 1 Developer, 25 Users, 2 data sources per project. Team: 3 Developers, 50 Users, unlimited data sources per project. Enterprise: Custom developers and users. Free plan includes email support (3-day response), Team adds 24-hour response aim, Enterprise includes custom support.
Data Workbench: $189/user/year. Semantic Intelligence Platform: Contact Sales for enterprise pricing.
Key features
Beautiful-by-default dashboards with automatic layout and styling
Grain-safe automatic cross-domain blending that prevents double-counting
Federated smart OLAP routing for sub-second query response
Five measure types plus segments for flexible metrics
Agent builder with inherited row-level security
Row-level security and masking in the semantic model
Google Sheets add-on for data delivery
Scheduled reports and subscriptions
Semantic Layer as Code with YAML configuration
Dynamic Universes for open data model exploration
SQL development and testing in Data Workbench
Coginiti Forge AI Agent with SQL generation and optimization
Support for 21+ database platforms including Snowflake, Databricks, Oracle, and IBM Db2
Deployment across IL2-IL6 classified environments and air-gapped networks
Shared analytics catalog with code review workflows
CoginitiScript version control and collaboration
Enterprise API access including JDBC, ODBC, and REST
Coginiti Guide AI agent for enterprise teams
What makes it different
Correctness by construction with grain-safe joins that refuse invalid combinations
Agent-native architecture where agents query the same semantic layer as humans
Federated OLAP routing for sub-second performance without warehouse overload
Open source semantic query engine (0sql) available under MIT license
Built at Netflix for enterprise-scale analytics
Full-lifecycle semantic operations from SQL development to governed semantic layer in one platform
Captures full body of analytic knowledge including queries, collaboration threads, test results, and context
Supports 21+ database platforms across cloud, on-premise, and classified environments
Preserves institutional knowledge through documentation of assumptions and context beyond personnel changes