Databricks Mosaic AI

Databricks Mosaic AI is the generative-AI and model-building suite within the Databricks Data Intelligence Platform. It lets enterprises build, fine-tune, serve, govern, and monitor LLMs, classical ML models, and AI agents directly on their governed enterprise data.

Databricks Mosaic AI is the AI/ML layer of the Databricks Data Intelligence Platform, substantially expanded from the company's 2023 acquisition of MosaicML. It provides an end-to-end LLMOps toolkit for building production-grade generative AI applications and compound AI / agent systems, covering the full lifecycle: model training and fine-tuning of open-source and foundation models, Model Serving for deploying agents and models behind scalable REST APIs, Mosaic AI Vector Search for retrieval-augmented generation (RAG), an Agent Framework and Agent Bricks for authoring and evaluating AI agents, AI Playground for no-code prototyping, and managed MLflow for experiment tracking, evaluation, and the prompt registry. Governance and observability are delivered through Unity Catalog (unified governance of data and AI assets) and the Mosaic/Unity AI Gateway, which centrally manages, secures, and monitors model and MCP endpoints. The suite serves curated foundation models from providers such as Meta Llama, Anthropic Claude, and OpenAI GPT, and integrates with open-source frameworks including LangChain, LangGraph, LlamaIndex, and Hugging Face.

Category

AI Agents & Orchestration

Pricing

Usage-based, Freemium, Contact for pricing

Target Market

CTOs, CIOs, Data Scientists, ML Engineers, Enterprise Developers, Data Engineers

Founded

2013

Headquarters

San Francisco, California, United States

Customers

Over 20,000 customers worldwide (Databricks platform); used by over 60% of the Fortune 500

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  Model Training & Fine-Tuning

  Fine-tune open-source and foundation LLMs or build classical ML models, with MLflow experiment tracking and evaluation.

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  Model Serving

  Deploy agents, generative AI, and classical ML models behind secure, scalable REST API endpoints.

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  Mosaic AI Vector Search

  A high-performance vector database with real-time syncing of source data for retrieval-augmented generation (RAG).

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  Agent Framework & Agent Bricks

  Author, deploy, and evaluate AI agents grounded in enterprise data with automated tuning and built-in evaluation.

• ✓
  Unity AI Gateway

  Centralized governance, rate limiting, and monitoring across every LLM, agent, and MCP endpoint.

• ✓
  Managed MLflow & Unity Catalog

  Enterprise MLOps lifecycle management plus unified governance and lineage for data and AI assets.

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  Domain-specific RAG chatbots

  Build accurate, governed chatbots that retrieve answers from a company's own documents and data.

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  Enterprise AI agents

  Develop and deploy multi-step AI agents for tasks like seller support, operations automation, and knowledge assistance.

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  Custom model fine-tuning

  Adapt open-source and foundation models to proprietary enterprise data for higher accuracy and domain specialization.

Pay-as-you-go with no upfront cost, billed in Databricks Units (DBUs) at per-second granularity; on AWS and GCP customers also pay separate cloud infrastructure (e.g., EC2) charges. Committed-use contracts offer discounts. Example list rates: Model Serving Vector Search from $0.28/hour; foundation-model serving from roughly $0.07/DBU.

This page was written from 10 sources, 5 on domains other than databricks.com.

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