Databricks Mosaic AI
Enterprise AI platform for building, deploying, and governing production-quality AI agents
Founded
2013
Starting Price
~$0.55/DBU
Category
AI & Machine Learning
Last updated February 14, 2026
About Databricks Mosaic AI
Databricks Mosaic AI is a comprehensive AI development platform that enables enterprises to build, train, deploy, and monitor production-grade generative AI applications and agents at scale. It provides unified tools for RAG systems, LLM fine-tuning, model serving, vector search, and AI governance—all integrated within the Databricks Data Intelligence Platform.
Pros & Cons
Pros
- Unified platform integrating data lakehouse with AI development eliminates tool fragmentation
- Enterprise-grade governance via Unity Catalog provides comprehensive lineage and access controls
- Production-ready agent framework accelerates deployment of RAG systems and AI agents
- Flexible model serving with pay-per-token and provisioned throughput options
Cons
Key Features
Agent Framework & RAG
Build production-quality AI agents with retrieval-augmented generation, quality evaluation, and seamless enterprise data integration
Model Serving
Deploy and serve foundation and custom models with pay-per-token or provisioned throughput options
Vector Search
Enterprise-grade vector database with hybrid search and Unity Catalog integration
AI Gateway
Centralized governance layer for managing LLM endpoints with observability, rate limiting, and multi-provider API access
Unity Catalog Governance
Unified governance for data and AI assets including lineage tracking, access controls, and audit logging
MLflow Integration
End-to-end MLOps with experiment tracking, model versioning, automated evaluation, and production monitoring
Pricing
Premium
~$0.55/DBU/DBU consumed
- Foundation Model APIs
- Pay-per-token model serving
- AI Gateway
- Vector Search
- Unity Catalog governance
Best For
Enterprise AI Assistants
Build internal AI assistants that answer queries over corporate data with secure, governed access to knowledge bases
Financial Analysis & Intelligence
Automate analysis, process real-time market data, and extract insights from financial datasets
Anomaly Detection & Monitoring
Train ML models to predict failures, detect anomalies, and analyze operational data in real-time
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