MosaicML
Founded Year
2020Stage
Acquired | AcquiredTotal Raised
$37MValuation
$0000Revenue
$0000About MosaicML
MosaicML provides a platform for training large-scale artificial intelligence (AI) models within secure environments. The company offers a platform that allows for the training of machine learning models, focusing on data privacy and model ownership, while being compatible with existing workflows and systems. MosaicML's solutions are designed for different sectors, including financial services and life sciences, with an emphasis on meeting regulatory standards. It was founded in 2020 and is based in San Francisco, California. In June 2023, MosaicML was acquired by Databricks.3B.
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MosaicML's Product Videos
MosaicML's Products & Differentiators
MosaicML Cloud
Designed from the ground up to serve the unique needs of training neural networks, utilizing knowledge from the hardware all the way up to the algorithm.
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Research containing MosaicML
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned MosaicML in 7 CB Insights research briefs, most recently on Jul 2, 2024.
Jul 2, 2024 team_blog
How to buy AI: Assessing AI startups’ potential
Feb 27, 2024
The generative AI boom in 6 charts
Oct 13, 2023
The open-source AI development market map
Sep 29, 2023
The machine learning operations (MLOps) market map
Expert Collections containing MosaicML
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
MosaicML is included in 3 Expert Collections, including AI 100 (All Winners 2018-2025).
AI 100 (All Winners 2018-2025)
100 items
Generative AI
2,826 items
Companies working on generative AI applications and infrastructure.
Artificial Intelligence
10,402 items
Latest MosaicML News
Sep 12, 2025
Rao has reportedly begun early talks with other potential investors for the startup, which aims to address the rising costs of AI computing. He previously sold MosaicML, a data and AI analytics startup, to Databricks in 2023 for US$1.3 billion. Rao also co-founded Nervana Systems, which Intel acquired in 2016 for about US$350 million. Databricks recently raised US$1 billion in a funding round, bringing its valuation to about US$100 billion. Food for thought Implications, context, and why it matters. The AI compute cost crisis is creating opportunities for hardware innovation Rao's departure to build “a novel type of computer” addresses a genuine market urgency. AI training compute needs have been doubling every 3.4 months since 2012, compared to every two years from 1959 to 2012 This acceleration represents a significant increase in compute usage, with large AI experiments potentially costing $200 billion within 5-6 years if current trends continue While traditional computing power per dollar historically improved by a factor of 10 every four years, this rate has slowed significantly to once every 10-16 years in recent years The growing gap between AI compute demand and traditional hardware cost improvements creates a clear market opportunity for specialized computing solutions that can reduce these rising costs. Serial entrepreneurs with domain expertise command premium startup valuations Rao's track record of two successful exits—selling Nervana Systems to Intel for $350 million in 2016 and MosaicML to Databricks for $1.3 billion in 2023—positions him among proven repeat entrepreneurs who can attract significant investor interest. His departure follows a pattern of high-profile tech executives launching startups that achieve substantial valuations, with former OpenAI CTO Mira Murati's company valued at $10 billion and ex-Salesforce co-CEO Bret Taylor's AI startup Sierra also reaching $10 billion Research on 170 Silicon Valley startups found that turnover, particularly founder exits from established companies, can increase the likelihood of achieving an IPO, suggesting that experienced executives bringing diverse prior experiences tend to achieve success more quickly The combination of Rao's specific expertise in AI computing challenges and his proven execution ability creates conditions for premium startup valuations, especially when addressing urgent market needs like AI compute costs. Recent Databricks developments
MosaicML Frequently Asked Questions (FAQ)
When was MosaicML founded?
MosaicML was founded in 2020.
Where is MosaicML's headquarters?
MosaicML's headquarters is located at 2415 3rd Street, San Francisco.
What is MosaicML's latest funding round?
MosaicML's latest funding round is Acquired.
How much did MosaicML raise?
MosaicML raised a total of $37M.
Who are the investors of MosaicML?
Investors of MosaicML include Databricks, Lux Capital, DCVC, Future Ventures, Playground Global and 8 more.
Who are MosaicML's competitors?
Competitors of MosaicML include LangChain and 7 more.
What products does MosaicML offer?
MosaicML's products include MosaicML Cloud and 1 more.
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Compare MosaicML to Competitors
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Replicate operates in the artificial intelligence sector. The company offers a platform that allows users to run and fine-tune open-source models, deploy custom models at scale, and generate images, text, videos, music, and speech. It primarily serves sectors that require machine learning capabilities. It was founded in 2019 and is based in San Francisco, California.
Lightning AI operates as an artificial intelligence development platform. The company's services include an environment for coding and debugging AI models using various frameworks such as PyTorch Lightning and Lit-GPT, accessible through a web browser. It serves sectors that require AI development and deployment, including the technology and machine learning industries. Lightning AI was formerly known as Grid.ai. It was founded in 2019 and is based in New York, New York.
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Inspeq AI specializes in the performance and reliability of large language model (LLM) applications within the enterprise sector. The company offers a low-code platform that accelerates the deployment of LLM applications by providing tools for evaluation, improvement, and monitoring. Inspeq AI's services are designed to significantly reduce development costs and time spent on prompt engineering and testing. It was founded in 2023 and is based in Dublin, Ireland.
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