List of Databricks Mosaic AI Customers
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Since 2010, our global team of researchers has been studying Databricks Mosaic AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Databricks Mosaic AI for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Databricks Mosaic AI for ML and Data Science Platforms include: Regeneron Pharmaceuticals, a United States based Life Sciences organisation with 15182 employees and revenues of $142.02 billion, AstraZeneca, a United Kingdom based Life Sciences organisation with 94300 employees and revenues of $73.98 billion, Hawaiian Electric Company, Inc., a United States based Utilities organisation with 3702 employees and revenues of $2.58 billion and many others.
Contact us if you need a completed and verified list of companies using Databricks Mosaic AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AstraZeneca | Life Sciences | 94300 | $74.0B | United Kingdom | Databricks | Databricks Mosaic AI | ML and Data Science Platforms | 2025 | n/a |
In 2025, AstraZeneca deployed Databricks Mosaic AI to accelerate clinical analytics within its United Kingdom clinical operations. The deployment leveraged Databricks Mosaic AI, using the Agent Bricks capability, as part of its ML and Data Science Platforms tooling to support clinical analytics. AstraZeneca Databricks Mosaic AI ML and Data Science Platforms clinical analytics relationship is evident in the use case described by the vendor.
AstraZeneca used Databricks Agent Bricks, powered by Mosaic AI, to parse more than 400,000 clinical trial documents and extract structured data. The effort produced a working agent in under 60 minutes, an outcome Databricks explicitly attributes to Agent Bricks. The implementation emphasis was on automated document parsing, information extraction, and agent orchestration consistent with ML and Data Science Platforms workflows.
This implementation was a healthcare and clinical operations use case in the United Kingdom, focused on surfacing structured trial data for downstream analytics teams. The deployment operationalized document ingestion and automated extraction workflows to make clinical documents queryable for analytics and review. Databricks Mosaic AI provided the platform capabilities that enabled rapid agent construction through Agent Bricks.
Databricks public communications explicitly attribute the accelerated clinical analytics outcome to Agent Bricks, aligning the capability to AstraZeneca’s clinical analytics needs. Governance and detailed rollout procedures were not enumerated beyond the rapid prototype timeline reported by the vendor. The signal highlights AstraZeneca adopting Databricks Mosaic AI within ML and Data Science Platforms to operationalize clinical document extraction and agent driven analytics workflows.
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Hawaiian Electric Company, Inc. | Utilities | 3702 | $2.6B | United States | Databricks | Databricks Mosaic AI | ML and Data Science Platforms | 2025 | n/a |
In 2025, Hawaiian Electric Company, Inc. deployed Databricks Mosaic AI using Databricks Agent Bricks to power a Regulatory Chat Tool that parses more than 40,000 complex legal documents for regulatory and compliance review. The work is cataloged as a ML and Data Science Platforms implementation, and the press release from Databricks includes a direct customer quote describing improved precision with Agent Bricks compared to their prior open-source implementation.
The implementation focused on agent orchestration and document-centric question answering, with Databricks Agent Bricks operating as the orchestration layer for LLM-driven workflows within Databricks Mosaic AI. Configuration included document ingestion and semantic indexing pipelines, retrieval-augmented generation for context grounding, and agent steering logic to support legal and regulatory query resolution. These capabilities align with standard ML and Data Science Platforms functionality for large-scale unstructured data analytics.
Operational coverage targeted regulatory, legal, and compliance functions in the United States, with the Regulatory Chat Tool serving as the user-facing mechanism for attorneys and regulatory analysts to interrogate filings and policy documents. The deployment emphasized automated parsing and contextual retrieval across a large corpus, enabling conversational access to document insights without naming specific downstream systems.
Governance and rollout centered on embedding the Agent Bricks-powered tool into existing regulatory review workflows, creating a single conversational interface for compliance questions and document lookup. Databricks reported that Agent Bricks significantly outperformed the prior open-source implementation on accuracy, a claim supported by the customer quote in the vendor press release.
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Regeneron Pharmaceuticals | Life Sciences | 15182 | $142.0B | United States | Databricks | Databricks Mosaic AI | ML and Data Science Platforms | 2023 | n/a |
In 2023, Regeneron Pharmaceuticals implemented Databricks Mosaic AI as part of its ML and Data Science Platforms to support healthcare research and development in the United States. The deployment explicitly includes Agent Bricks and Mosaic AI components and is focused on drug discovery analytics using large genomic and clinical datasets.
The implementation leverages Databricks Mosaic AI capabilities for large scale data processing, automated agent-driven query workflows, model orchestration, and production inference across genomic and clinical data. Databricks Mosaic AI is used to run interactive analytics and automated pipelines, cutting query runtimes from approximately 30 minutes to approximately 3 seconds and accelerating ETL processing timelines from weeks to days.
Operational coverage is centered on Regeneron drug discovery teams within its R&D organization in the United States, ingesting and analyzing large genomic and clinical datasets to enable faster hypothesis testing. Governance and workflow changes emphasize pipeline automation and agent orchestration to shift data preparation and analytics from long batch cycles to near real time exploration, reflecting a deployment of Databricks Mosaic AI within Regeneron Pharmaceuticals ML and Data Science Platforms for drug discovery R&D.
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