California is a hub for machine learning companies, characterized by innovation and rapid growth. This industry includes firms specializing in various niches such as data annotation, predictive analytics, and AI consultancy. With organizations streamlining processes across sectors like healthcare and finance, it's evident that machine learning technology enhances decision-making and operational efficiency. Current trends focus on the integration of AI with ethical frameworks and the emergence of edge AI solutions. As businesses increasingly harness data to drive insights, the industry is poised for continued evolution, propelled by advancements and greater accessibility in technology.

The companies featured here represent a range of sizes and specializations, predominantly situated in California cities like San Francisco and San Jose. Founded between 2005 and 2022, these firms address various segments of machine learning, from data annotation to AI infrastructure. Noteworthy players include H2O.ai and Scale AI, showcasing significant venture backing and innovative platforms. Covering a workforce spectrum from startups with fewer than 50 employees to larger entities of over 5,000 employees, they collectively drive technology growth and elevate the AI landscape.

Read on to discover the top machine learning companies in California.

Top 20 Machine Learning Companies Companies in California

1. H2O.ai

• Website: h2o.ai
• Ownership type: Venture Capital
• Headquarters: Mountain View, California, United States (USA)
• Employee distribution: United States (USA) 39%, Sri Lanka 13%, Czech Republic 8%, Other 40%
• Latest funding: May 2023
• Founded year: 2012
• Headcount: 201-500
• LinkedIn: h2oai

H2O.ai, founded in 2012 and based in Mountain View, California, is an AI solutions provider that specializes in generative and predictive AI technologies. The company offers a suite of products, including H2O Driverless AI and H2O Document AI, which cater to various industries such as financial services, healthcare, and manufacturing. H2O.ai aims to empower organizations by enabling them to harness AI for improved decision-making and operational efficiency. Their platform supports both on-premises and cloud deployments, allowing businesses to maintain control over their data. H2O.ai has also made a name for itself in the open-source community, providing tools that facilitate automated machine learning and data processing. The company has been recognized in the Gartner Magic Quadrant for Cloud AI Developer Services and Data Science and Machine Learning, underscoring its relevance and impact in the AI industry.

2. iMerit Technology

• Website: imerit.net
• Ownership type: Venture Capital
• Headquarters: San Jose, California, United States (USA)
• Employee distribution: India 91%, United States (USA) 6%, Other 3%
• Latest funding: $12.8M, November 2021
• Founded year: 2012
• Headcount: 1001-5000
• LinkedIn: imerit

iMerit Technology, founded in 2012 and based in San Jose, California, is an AI solutions provider that specializes in data annotation and model evaluation services. The company serves a variety of sectors, including healthcare, technology, and agriculture, offering solutions that enhance the quality of data used in machine learning applications. Notable products include the Radiology Annotation Product Suite, which supports medical imaging AI, and generative AI services that assist in model training and evaluation. iMerit employs a global workforce, with a significant portion based in India, ensuring high-quality data annotation through expert oversight. The company has raised $12.8 million in funding as of November 2021, reflecting investor confidence in its business model and growth trajectory. With over 10 years of experience, iMerit has established itself as a trusted partner for organizations looking to optimize their AI initiatives.

3. Tredence Inc.

• Website: tredence.com
• Ownership type: Private Equity
• Headquarters: San Jose, California, United States (USA)
• Employee distribution: India 88%, United States (USA) 9%, Canada 3%
• Latest funding: Series B, $175.0M, December 2022
• Founded year: 2013
• Headcount: 1001-5000
• LinkedIn: tredence

Tredence Inc., founded in 2013 and based in San Jose, California, is a data science consulting firm that specializes in artificial intelligence and advanced analytics. With a workforce of over 3,000 employees, the company primarily serves clients in sectors such as retail, healthcare, and financial services. Tredence offers a range of services, including AI consulting, data engineering, and customer analytics, aimed at helping businesses leverage their data for improved decision-making. The company has recently secured $175 million in Series B funding, reflecting strong investor interest in their innovative solutions. Tredence is recognized for its industry-specific expertise and has received accolades for its contributions to supply chain and customer analytics, further solidifying its position in the data science and AI consulting market.

4. Snorkel AI

• Website: snorkel.ai
• Ownership type: Venture Capital
• Headquarters: Redwood City, California, United States (USA)
• Employee distribution: United States (USA) 97%, Other 3%
• Latest funding: January 2024
• Founded year: 2019
• Headcount: 51-200
• LinkedIn: snorkel-ai

Snorkel AI, founded in 2019 and based in Redwood City, California, specializes in programmatic data development for machine learning applications. The company emerged from the Snorkel Research project at Stanford University, where its founders focused on addressing the challenges of data labeling and model training. Snorkel AI offers two primary products: Snorkel Flow, which allows businesses to develop data programmatically, and Snorkel Custom, which aids in customizing large language models (LLMs) for specific applications. Their technology is utilized by organizations in sectors such as banking, finance, healthcare, and insurance, helping them accelerate their AI initiatives. Snorkel AI has established a reputation for transforming how enterprises manage their data, enabling them to build production-quality AI models more efficiently. The company has also been recognized for its contributions to AI research, with significant collaborations involving major tech firms and government entities.

5. Tiger Analytics

• Website: tigeranalytics.com
• Ownership type: Private
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: India 88%, United States (USA) 8%, Canada 3%, Other 1%
• Founded year: 2011
• Headcount: 5001-10000
• LinkedIn: tiger-analytics

Tiger Analytics, founded in 2011 and based in Santa Clara, California, is an analytics consulting firm that specializes in AI-driven solutions tailored for businesses across multiple sectors. With a workforce of approximately 5,874 employees, the company has established a significant presence, particularly in India, where 88% of its employees are located. Tiger Analytics offers a wide array of services, including data strategy, AI engineering, and business intelligence, aimed at enhancing operational efficiency and decision-making for its clients. The firm has developed proprietary tools such as TigerML and Tiger AI Hub, which facilitate the rapid prototyping and deployment of machine learning models. Their client base spans industries like consumer packaged goods, insurance, healthcare, and technology, showcasing their ability to address specific business challenges with tailored analytics solutions. Tiger Analytics has also received accolades for its contributions to AI strategy consulting, further solidifying its position in the analytics and machine learning space.

6. Scale AI

• Website: scale.com
• Ownership type: Private Equity
• Headquarters: San Francisco, California, United States (USA)
• Employee distribution: United States (USA) 76%, Mexico 9%, Other 14%
• Latest funding: Series E-K, $1.0B, May 2024
• Founded year: 2016
• Headcount: 501-1000
• LinkedIn: scaleai

Scale AI, founded in 2016 and based in San Francisco, California, is a private equity-backed company that specializes in providing AI solutions with a focus on data labeling and model training. The company offers a suite of products, including the Scale Data Engine, which enhances the quality of data for training machine learning models, and the Scale GenAI Platform, which supports enterprises in deploying generative AI applications. Scale AI has made significant strides in the industry, having processed over 13 billion annotations and labeled 87 million data points for generative AI. The company has attracted substantial investment, securing $1 billion in its latest funding round, which underscores its growth trajectory and the confidence investors have in its business model. Scale AI collaborates with major players in the tech industry, including OpenAI and Microsoft, to improve AI applications across various sectors, including automotive and government. Their commitment to delivering high-quality labeled data positions them as a key contributor to the advancement of machine learning technologies.

7. Abacus.AI

• Website: abacus.ai
• Ownership type: Venture Capital
• Headquarters: San Francisco, California, United States (USA)
• Employee distribution: United States (USA) 57%, India 29%, Other 14%
• Latest funding: Series C, $50.0M, October 2021
• Founded year: 2019
• Headcount: 51-200
• LinkedIn: realityengines

Abacus.AI is an AI technology company based in San Francisco, California, founded in 2019. The firm specializes in providing advanced artificial intelligence solutions tailored for businesses. Their product suite includes predictive modeling, anomaly detection, and various machine learning operations aimed at improving operational efficiency and decision-making. Abacus.AI serves a range of industries, leveraging data-driven insights to tackle complex business challenges. The company has attracted significant investment, raising $50 million in a Series C funding round in October 2021, which underscores its growth potential and relevance in the AI sector. With a workforce of approximately 152 employees, Abacus.AI is positioned to make a substantial impact in the machine learning landscape.

8. Fiddler AI

• Website: fiddler.ai
• Ownership type: Venture Capital
• Headquarters: Palo Alto, California, United States (USA)
• Employee distribution: United States (USA) 66%, India 34%
• Latest funding: Series B, $18.6M, December 2024
• Founded year: 2018
• Headcount: 51-200
• LinkedIn: fiddler-labs

Fiddler AI, established in 2018 and based in Palo Alto, California, specializes in AI observability and machine learning solutions. The company provides a suite of services that includes model monitoring, explainable AI, and analytics, aimed at helping organizations improve the performance and reliability of their AI applications. Fiddler AI's solutions are particularly valuable in sectors such as finance and government, where the integrity and transparency of AI models are paramount. The company has recently secured $18.6 million in Series B funding, reflecting strong investor interest and confidence in its innovative approach to AI observability. With a workforce of around 101 employees, Fiddler AI is positioned to make significant contributions to the field of machine learning, particularly in enhancing model governance and responsible AI practices.

9. SambaNova Systems

• Website: sambanova.ai
• Ownership type: Private Equity
• Headquarters: Palo Alto, California, United States (USA)
• Employee distribution: United States (USA) 77%, India 11%, Sweden 5%, Other 6%
• Latest funding: October 2023
• Founded year: 2017
• Headcount: 201-500
• LinkedIn: sambanova-systems

SambaNova Systems, based in Palo Alto, California, is a technology company that specializes in artificial intelligence solutions. Founded in 2017 by experts from Sun/Oracle and Stanford University, SambaNova has developed an enterprise-scale AI platform that includes the SambaNova Suite and DataScale. These products are tailored for generative AI and deep learning, enabling organizations to extract valuable insights from their data and enhance operational efficiency. The company has garnered attention for its innovative hardware, specifically the SambaNova SN40L Reconfigurable Dataflow Unit (RDU), which is designed to handle demanding AI workloads more efficiently than traditional GPUs. SambaNova's offerings are utilized by a range of customers, including businesses and government agencies, highlighting their relevance in various sectors. The company has also received significant investment from notable firms, including SoftBank Vision Fund 2 and Intel Capital, which underscores its potential in the AI market.

10. Provectus

• Website: provectus.com
• Ownership type: Private
• Headquarters: Palo Alto, California, United States (USA)
• Employee distribution: Ukraine 59%, United States (USA) 11%, Armenia 6%, Other 24%
• Founded year: 2010
• Headcount: 201-500
• LinkedIn: provectus-it-inc

Provectus, founded in 2010 and based in Palo Alto, California, is a private technology solutions provider that specializes in artificial intelligence consultancy. With a workforce of approximately 447 employees, the company focuses on delivering AI solutions that enhance operational efficiency and data insights for businesses across various sectors, including retail, healthcare, and manufacturing. Their offerings include AI transformation, machine learning infrastructure, and intelligent document processing. Provectus has established partnerships with notable organizations, such as Cohere, to accelerate the adoption of generative AI. Their approach emphasizes a no-license-fee model and vendor-agnostic solutions, allowing clients to integrate AI seamlessly into their existing systems. The company has also been recognized in the AI Services Landscape Report, further solidifying its position in the industry.

11. MoBagel

• Website: mobagel.com
• Ownership type: Venture Capital
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: Taiwan 80%, United States (USA) 15%, China 5%
• Latest funding: $20.0M, July 2024
• Founded year: 2009
• Headcount: 51-200
• LinkedIn: mobagel

MoBagel, founded in 2009 and based in Santa Clara, California, is a technology firm that specializes in artificial intelligence and machine learning solutions. The company offers platforms such as Decanter AI and Genie AI, which are tailored to help businesses optimize their data analytics and enhance decision-making capabilities. MoBagel's services include automated machine learning, predictive maintenance, and customer segmentation, primarily targeting enterprise clients across various industries, including finance, retail, and telecommunications. The company has a significant presence in Taiwan, with a majority of its workforce located there, and has recently secured $20 million in funding as of July 2024. MoBagel has also been recognized in Gartner's reports, highlighting its role in the AI sector and its commitment to helping organizations leverage data for improved business outcomes.

12. Aible

• Website: aible.com
• Ownership type: Private
• Headquarters: Pleasanton, California, United States (USA)
• Employee distribution: United States (USA) 96%, United Kingdom (UK) 4%
• Latest funding: $26.4M, January 2020
• Founded year: 2018
• Headcount: 11-50
• LinkedIn: aible

Aible, founded in 2018 and based in Pleasanton, California, is a private technology firm that specializes in artificial intelligence solutions. The company focuses on enabling businesses to harness their data for strategic decision-making through innovative products like Generative AI Apps and Augmented Analytics. Aible serves various industries, including healthcare, retail, and education, helping enterprises optimize operations and improve customer experiences. The company has attracted significant funding, with a reported amount of over $26 million, indicating investor confidence in its potential. Aible's approach emphasizes rapid implementation, allowing businesses to deploy AI solutions in their private cloud environments within hours. Their partnerships with major players such as AWS, Google, and Intel enhance their capabilities and market reach, positioning Aible as a notable player in the machine learning sector.

13. RealityEngines.AI

• Website: realityengines.ai
• Ownership type: Private
• Headquarters: San Francisco, California, United States (USA)
• Founded year: 2019
• Headcount: 11-50
• LinkedIn: realityengines

RealityEngines.AI, based in San Francisco, California, is a private technology firm founded in 2019. The company specializes in artificial intelligence and machine learning solutions, offering a suite of products designed to enhance operational efficiency and decision-making for businesses. Their product lineup includes advanced tools for predictive modeling, anomaly detection, and various AI applications tailored for marketing, sales, and operational planning. RealityEngines.AI aims to simplify the integration of cutting-edge AI technologies into existing business frameworks, making it easier for organizations to leverage data-driven insights. The company serves a variety of industries, focusing on practical applications that drive real-world results. With a small team of around 20 employees, they are agile and positioned to adapt quickly to the evolving demands of the AI market.

14. Kumo

• Website: kumo.ai
• Ownership type: Venture Capital
• Headquarters: Mountain View, California, United States (USA)
• Employee distribution: United States (USA) 82%, United Kingdom (UK) 13%, Germany 5%
• Latest funding: Series B, $18.0M, September 2022
• Founded year: 2021
• Headcount: 51-200
• LinkedIn: kumo-ai

Kumo, based in Mountain View, California, is an AI solutions provider that specializes in machine learning and data analytics. Founded in 2021, the company has quickly made a name for itself by offering a range of services designed to help businesses improve customer experiences, optimize marketing strategies, and detect fraudulent activities. Kumo's platform utilizes advanced predictive modeling tools, enabling clients to drive operational efficiency. The company has developed capabilities in personalized customer experiences, customer acquisition, retention strategies, forecasting, anomaly detection, and fraud detection. Notably, Kumo has received $18 million in Series B funding, reflecting strong investor interest and confidence in its innovative approach. Their technology, particularly in graph neural networks, allows for effective data representation and analysis, making it easier for businesses to harness the power of their data. Kumo's commitment to enhancing AI-driven solutions is evident in their partnerships with major platforms like Snowflake and Databricks, further integrating their services into the broader technology ecosystem.

15. InfoObjects Inc.

• Website: infoobjects.com
• Ownership type: Private
• Headquarters: San Jose, California, United States (USA)
• Founded year: 2005
• Headcount: 201-500
• LinkedIn: infoobjects-inc-

InfoObjects Inc. is a technology consulting company based in San Jose, California, founded in 2005. With a workforce of approximately 233 employees, the firm specializes in Generative AI and data engineering services. They assist businesses, particularly in the finance and technology sectors, in optimizing operations through advanced AI solutions and system integration. Their service offerings include model development, data management, and blockchain services, all aimed at enhancing efficiency and decision-making for their clients. InfoObjects has established a reputation for helping enterprises integrate AI into their workflows, thereby driving growth and improving operational efficiency. Their expertise in machine learning is evident in their focus on fine-tuning models, data annotation, and synthetic data generation, which are essential for developing effective AI applications. The company has not reported any funding, indicating a self-sustained operational model.

16. Sparkflows

• Website: sparkflows.io
• Ownership type: Venture Capital
• Headquarters: San Jose, California, United States (USA)
• Employee distribution: United States (USA) 55%, India 45%
• Latest funding: July 2022
• Founded year: 2016
• Headcount: 51-200
• LinkedIn: sparkflows

Sparkflows, founded in 2016 and based in San Jose, California, operates as a data science platform that offers advanced self-service solutions for machine learning and generative AI. The company serves various sectors, including banking, healthcare, and telecommunications, providing tools for data engineering, analytics, and AI model development. Sparkflows aims to empower organizations to harness their data effectively, driving insights and enhancing decision-making processes. Their platform features over 150 processors for machine learning, along with capabilities for data preparation and MLOps, allowing users to build and deploy models efficiently. With a workforce distributed between the United States and India, Sparkflows is positioned to cater to a global market, facilitating the adoption of AI technologies across industries.

17. Edge Impulse

• Website: edgeimpulse.com
• Ownership type: Corporate
• Headquarters: San Jose, California, United States (USA)
• Employee distribution: United States (USA) 58%, United Kingdom (UK) 12%, Netherlands 9%, Other 21%
• Latest funding: March 2025
• Founded year: 2019
• Headcount: 51-200
• LinkedIn: edgeimpulse

Edge Impulse, founded in 2019 and based in San Jose, California, is a technology company that specializes in edge AI solutions. The company provides a platform that empowers businesses to develop and deploy machine learning models across various applications, including manufacturing, health, and consumer electronics. With a workforce of approximately 106 employees, Edge Impulse focuses on enhancing product capabilities through AI integration. Their platform offers tools for feature engineering, model optimization, and sensor data management, making it easier for engineers and product leaders to innovate. Edge Impulse has established a reputation for supporting industries such as appliances, wearables, and industrial operations, helping clients to improve efficiency and product performance. The company operates without reported funding, indicating a self-sustaining business model as it continues to grow and adapt to market needs.

18. Syntiant Corp.

• Website: syntiant.com
• Ownership type: Venture Capital
• Headquarters: Irvine, California, United States (USA)
• Employee distribution: United States (USA) 64%, Malaysia 15%, Switzerland 7%, Other 14%
• Latest funding: December 2024
• Founded year: 2017
• Headcount: 1001-5000
• LinkedIn: syntiant-corp

Syntiant Corp., founded in 2017 and based in Irvine, California, is a technology company that specializes in edge AI solutions. The firm develops Neural Decision Processors and deep learning models designed for real-time data processing in devices with limited power resources. Their products cater to various applications, including smart home devices, automotive systems, and personal electronics. Syntiant's technology enables businesses to enhance their products with advanced AI capabilities, improving user experience while maintaining energy efficiency. The company has successfully deployed tens of millions of its processors globally, indicating a strong market presence. Syntiant's commitment to innovation in edge AI positions it as a significant player in the machine learning industry, addressing the growing need for efficient, on-device processing.

19. NumberOne AI

• Website: numberone.ai
• Ownership type: Venture Capital
• Headquarters: Newport Beach, California, United States (USA)
• Employee distribution: United States (USA) 100%
• Latest funding: Series A, $13.0M, October 2022
• Founded year: 2022
• Headcount: 11-50
• LinkedIn: numberone-ai

NumberOne AI, established in 2022 and based in Newport Beach, California, is a technology incubator dedicated to the development of predictive AI and machine learning solutions. The company aims to empower entrepreneurs and businesses by providing the necessary support to harness advanced technology for addressing significant global challenges. With a focus on innovation, NumberOne AI seeks to transform the startup ecosystem by applying a broad, automated AI/ML platform to the process of launching new ventures. The firm has successfully raised $13 million in Series A funding, which will be utilized to enhance their core machine learning platform and streamline the startup creation process. Led by experienced professionals from the technology and data sectors, NumberOne AI is positioned to incubate companies that leverage predictive AI at their core, aiming to solve pressing issues in a proactive manner.

20. Anthropic

• Website: anthropic.com
• Ownership type: Venture Capital
• Headquarters: San Francisco, California, United States (USA)
• Employee distribution: United States (USA) 91%, United Kingdom (UK) 6%, Other 3%
• Latest funding: Series E-K, $3.5B, March 2025
• Founded year: 2021
• Headcount: 501-1000
• LinkedIn: anthropicresearch

Anthropic PBC is an AI research company based in San Francisco, California, founded in 2021. The company specializes in creating reliable and interpretable AI systems, with a focus on safety and ethical considerations in AI development. Anthropic has developed a range of advanced AI models, including Claude, which is designed to assist businesses and organizations in enhancing productivity and decision-making through AI integration. The company has received significant funding, totaling $3.5 billion in its latest Series E-K round, reflecting strong investor interest in its mission and products. Anthropic's interdisciplinary team combines expertise in machine learning, policy, and product development, allowing them to address the complexities of AI deployment in real-world scenarios. Their research initiatives and product offerings aim to ensure that AI systems are not only powerful but also safe and beneficial for society.

Machine Learning Companies Insights: Key Companies in California

Company	Headquarter	Size	Founded	Ownership
H2O.ai	Mountain View, California, United States (USA)	201-500	2012	Venture Capital
iMerit Technology	San Jose, California, United States (USA)	1001-5000	2012	Venture Capital
Tredence Inc.	San Jose, California, United States (USA)	1001-5000	2013	Private Equity
Snorkel AI	Redwood City, California, United States (USA)	51-200	2019	Venture Capital
Tiger Analytics	Santa Clara, California, United States (USA)	5001-10000	2011	Private
Scale AI	San Francisco, California, United States (USA)	501-1000	2016	Private Equity
Abacus.AI	San Francisco, California, United States (USA)	51-200	2019	Venture Capital
Fiddler AI	Palo Alto, California, United States (USA)	51-200	2018	Venture Capital
SambaNova Systems	Palo Alto, California, United States (USA)	201-500	2017	Private Equity
Provectus	Palo Alto, California, United States (USA)	201-500	2010	Private
MoBagel	Santa Clara, California, United States (USA)	51-200	2009	Venture Capital
Aible	Pleasanton, California, United States (USA)	11-50	2018	Private
RealityEngines.AI	San Francisco, California, United States (USA)	11-50	2019	Private
Kumo	Mountain View, California, United States (USA)	51-200	2021	Venture Capital
InfoObjects Inc.	San Jose, California, United States (USA)	201-500	2005	Private
Sparkflows	San Jose, California, United States (USA)	51-200	2016	Venture Capital
Edge Impulse	San Jose, California, United States (USA)	51-200	2019	Corporate
Syntiant Corp.	Irvine, California, United States (USA)	1001-5000	2017	Venture Capital
NumberOne AI	Newport Beach, California, United States (USA)	11-50	2022	Venture Capital
Anthropic	San Francisco, California, United States (USA)	501-1000	2021	Venture Capital

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