Databricks Mosaic AI

Framework for building production-ready AI agents grounded in enterprise data. Enables continuous improvement of agent quality and accuracy through optimization on customer data.

Build production-quality AI agents with integrated evaluation supporting AI-assisted assessments and human feedback workflows for quality assurance.

Scalable monitoring system that detects anomalies, tracks freshness, and delivers consistent quality signals across AI assets.

Unified platform providing end-to-end tools for building, deploying, and managing AI agents with integrated data, analytics and governance capabilities.

Open, intelligent data warehouse combining lakehouse architecture with governance and AI capabilities. Eliminates legacy warehouse costs with reduced total cost of ownership.

Collaborative notebooks enabling real-time collaboration and streamlined data science workflows for teams building AI applications.

Serverless data warehouse built on lakehouse architecture, providing SQL analytics with governance and AI capabilities included.

Conversational analytics interface enabling business users to query enterprise data and create dashboards using natural language, without SQL or coding. Powers AI-driven BI workflows.

Serverless Postgres database integrated with the lakehouse, combining transactional reliability with analytics and AI capabilities. Built for applications requiring real-time data synchronization and governance.

Data engineering tool for building reliable ETL pipelines for batch and streaming workloads. Provides unified ingestion, transformation, and orchestration capabilities at scale.

Enterprise-grade extension of open source MLflow providing unified MLOps platform with reliability, security and scalability for models and GenAI apps.

Unified deployment platform for agents, GenAI models, and classical ML models in production environments.

Fine-tune open source LLMs, pretrain custom LLMs, or build classical ML models with enterprise-grade infrastructure.

Single platform to apply data governance across every LLM and MCP in enterprise, providing centralized control and compliance.

Unified governance layer for data, models, dashboards, and agents. Provides compliance management and data lineage across the entire Databricks platform.

Highly performant vector database with real-time syncing of source data for retrieval-augmented generation and semantic search applications.