Strategy
Mosaic is a universal semantic layer that grounds AI with governed business definitions, enabling trusted, consistent answers every time.
Editor's Verdict
Key Takeaways
- Universal Semantic Layer
- Deterministic SQL Engine
- AI Governance & Accuracy
- Cost Efficiency
In-Depth Review: What is Strategy?
Strategy Mosaic is the most deployed universal semantic layer in the world, connecting your data sources to every BI tool, application, and AI agent. It transforms raw tables into certified business definitions, so AI stops guessing and returns accurate, consistent answers. With deterministic SQL, built-in governance, and 200+ connectors, Mosaic reduces token costs, prevents hallucinations, and scales across enterprises—trusted by Pfizer, Porsche, Fannie Mae, and more.
Core Features
Universal Semantic Layer
Defines governed metrics, relationships, calculations, and access policies once, and applies them consistently across BI, applications, data products, and AI.
Deterministic SQL Engine
Generates predictable SQL from governed business definitions, ensuring the same question returns the same answer every time.
AI Governance & Accuracy
Achieved 100% accuracy in benchmarks by providing AI with governed context, reducing hallucinations.
Cost Efficiency
Caches repeat queries and sends compressed AI context, using up to 53% fewer tokens.
200+ Native Connectors
Connects to every major cloud, warehouse, and lakehouse, integrating with your existing stack.
Any AI Integration
Works with Claude, Copilot, Gemini, or any MCP agent through a universal semantic layer.
Access Control & Audit Logs
Enforces access policies on every query and logs all data interactions with Sentinel.
AI-Powered Data Modeling
Automates the creation of data models and dashboards with AI assistance.
Cloud Native & Hybrid Deployment
Deploys to any hyperscaler with hybrid and multi-cloud architecture for enterprise scale.
No Extra Charges for AI
Transparent pricing with no additional fees for AI features as your analytics usage grows.
Pricing
Standard
- Mosaic Semantic Layer
- Connect to 200+ Data Sources
- Cloud Native Architecture
- AI-Powered Data Modeling
- AI-Powered Dashboards
- In-Memory Data Capacity: Up to 150 GB
- Up to 300 users
- No extra charges for AI
Enterprise
- All Standard features
- Fully managed enterprise offering
- Build custom AI agents
- Open architecture with hybrid and multi-cloud capabilities
- Multi-Environment Setup for High Availability
- Dedicated Customer Success Team
- Deploy to Any Hyperscaler
- Expandable users and in-memory capacity
Government
- FedRAMP authorized
- Hosted on AWS Gov Cloud
- Government-grade security and capability
- All Enterprise features
Pros and Cons
Pros
- Governed AI AccuracyMosaic provides AI with governed business definitions, eliminating hallucinations and delivering 100% accurate answers in benchmarks.
- Cost SavingsBy caching queries and compressing context, Mosaic reduces token usage by up to 53%, lowering cloud and AI costs.
- Seamless IntegrationWorks with your existing BI tools, data warehouses, and AI agents, with 200+ connectors and no need to migrate data.
- Enterprise-Grade ScalabilityProven at Fortune 500 scale, with 35 years in production, supporting thousands of users and high-demand environments.
- Robust Governance & SecurityEnforces access controls on every query and provides full audit logs, with options for FedRAMP authorization.
Cons
- Implementation ComplexitySetting up a universal semantic layer requires careful modeling of business definitions and governance policies.
- Limited Public PricingStandard plan has a starting price, but Enterprise and Government require contacting sales for quotes, reducing price transparency.
- May Be Overkill for Small TeamsThe platform is designed for enterprise scale and may have unnecessary features for small organizations with simple needs.
- Dependency on Data InfrastructureRequires compatible data sources and may need configuration to connect to all necessary warehouses.
- Learning CurveTeams may need training to fully leverage the semantic layer and AI capabilities.
Use Cases & Recommended Professions
Chief Data Officer→ View Toolkit
Responsible for data governance and ensuring AI initiatives are trustworthy; Mosaic provides a governed semantic layer.
Data Analyst→ View Toolkit
Needs consistent metrics and accurate query results; Mosaic ensures the same answers every time.
Data Engineer→ View Toolkit
Builds data pipelines and manages infrastructure; Mosaic simplifies data access and reduces duplicated logic.
AI Engineer→ View Toolkit
Integrates AI agents into applications; Mosaic gives AI models governed context to prevent hallucinations.
BI Developer→ View Toolkit
Creates reports and dashboards; Mosaic ensures consistent definitions across all BI tools.
IT Director→ View Toolkit
Manages technology costs and deployment; Mosaic reduces token usage and works with existing infrastructure.
Frequently Asked Questions
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ℹ️ Curation Disclosure: The overview and features of Strategy were synthesized using AI and fact-checked by our curation team to ensure accuracy.
