High-performance, AI-safe self-service analytics with a governed semantic layer and beautiful dashboards
The AI Consumer OS for consumer decisions
Stage
Not given
Established
Founded
Not given
2021
Based in
US
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Pricing model
Freemium
Contact for pricing
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.
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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
Retrieval of cited answers from connected research studies and reports
Digital twin audiences built from real respondent data
Concept, message and price testing
Recurring decision workflows
Delivery to PowerPoint, Excel, Teams and Slack
SOC 2 Type II compliance
Connectors to Drive, SharePoint, survey platforms and data warehouses
Library indexing and knowledge orchestration
Ad, concept, price and claims testing
Open-ended and quantitative answer analysis
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
Data stays in customer's own US or EU instance, never trains other models
Cites sources for every answer from original research
Extends research reach through digital twins grounded in real respondent data
No migration required; connects to research where it already lives
Combines statistics and generative AI for rigorous and fast insights