The machine learning industry in the US is booming, driven by advancements in AI technology and increased data availability. Companies in this sector range from startups focusing on niche applications to large enterprises offering comprehensive solutions across industries. They provide various services such as predictive analytics, automation, and data management to help businesses harness their data for efficient decision-making. As businesses increasingly rely on AI to improve operations and customer insights, the industry is moving towards hybrid models that integrate on-premises and cloud solutions, alongside a focus on ethical AI practices and responsible data usage.

This list features 21 notable machine learning companies in the US, primarily headquartered in tech hubs like California and New York. They vary significantly in size, from small teams of fewer than 50 to large firms with thousands of employees. Founded between 2000 and 2022, these companies specialize in various areas, including AI consulting, data analytics, and machine learning infrastructure. Their innovations are shaping the future of multiple industries, making them pivotal players in the analytics environment.

Continue reading to explore the top machine learning companies in the US.

Top 21 Machine Learning Companies Companies in the US

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. Dataiku

• Website: dataiku.com
• Ownership type: Private Equity
• Headquarters: New York, New York, United States (USA)
• Employee distribution: France 35%, United States (USA) 31%, United Kingdom (UK) 11%, Other 23%
• Latest funding: Series E-K, $200.0M, December 2022
• Founded year: 2013
• Headcount: 1001-5000
• LinkedIn: dataiku

Dataiku is an AI and machine learning company headquartered in New York, New York. Established in 2013, it provides a unified platform designed to facilitate data analytics and machine learning solutions for businesses across various sectors. The company aims to empower organizations to leverage their data for enhanced decision-making and operational efficiency. Dataiku's platform includes tools for data preparation, visualization, and model deployment, which are crucial for data science teams. The company serves a wide array of industries, including banking, life sciences, manufacturing, and retail, showcasing its adaptability and relevance in the market. With a workforce of approximately 1,440 employees and a significant presence in countries like France and the United Kingdom, Dataiku is well-positioned to influence the future of AI and machine learning. The company has also attracted considerable investment, securing $200 million in its latest funding round in December 2022, which underscores its growth trajectory and the confidence investors have in its business model.

3. Fractal

• Website: fractal.ai
• Ownership type: Private Equity
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 89%, United States (USA) 7%, Other 4%
• Latest funding: $360.0M, January 2022
• Founded year: 2000
• Headcount: 1001-5000
• LinkedIn: fractal-analytics

Fractal Analytics Private Limited, founded in 2000 and based in New York, is a private equity-backed company that specializes in AI solutions. With a workforce of over 5,900 employees, the company operates primarily in India and the United States. Fractal provides a wide range of AI-driven products and services aimed at optimizing operations and enhancing decision-making for businesses across various sectors, including healthcare, retail, and financial services. Their offerings include advanced analytics, machine learning operations, and cognitive automation, among others. Fractal has also established an AI Innovation Center that focuses on cutting-edge technologies such as generative AI and quantum computing. The company has received significant funding, with a reported amount of $360 million in January 2022, reflecting strong investor interest in their capabilities and growth trajectory.

4. NLP Logix

• Website: nlplogix.com
• Ownership type: Private
• Headquarters: Jacksonville, Florida, United States (USA)
• Employee distribution: United States (USA) 96%, Philippines 4%
• Latest funding: $175,000, May 2014
• Founded year: 2011
• Headcount: 51-200
• LinkedIn: nlp-logix

NLP Logix is an AI consulting firm based in Jacksonville, Florida, specializing in machine learning and data science solutions. Founded in 2011, the company has grown to a team of approximately 114 employees, focusing on predictive modeling, natural language processing, and automation. Their approach is collaborative, ensuring that services are tailored to meet the specific needs of their clients. NLP Logix has worked with a variety of industries, including healthcare and finance, helping organizations optimize operations and enhance decision-making. The company has gained recognition for its innovative solutions, having participated in prestigious data science competitions and formed partnerships with significant entities like the Mayo Clinic. Their commitment to community engagement is evident through initiatives like the AI Analytics Bootcamp for high school students, fostering the next generation of data scientists. NLP Logix has also been acknowledged multiple times in lists of fast-growing companies, reflecting their sustained growth and relevance in the machine learning field.

5. DataArt

• Website: dataart.com
• Ownership type: Venture Capital
• Headquarters: New York, New York, United States (USA)
• Employee distribution: Ukraine 44%, Poland 15%, Armenia 8%, Other 33%
• Latest funding: $75.0M, June 2022
• Founded year: 1997
• Headcount: 5001-10000
• LinkedIn: dataart

DataArt is an IT consultancy based in New York, specializing in custom software engineering, AI and machine learning innovation, data analytics, and cloud transformation. Founded in 1997, the company has grown to employ over 5,000 professionals across various locations, with a significant presence in Ukraine, Poland, and Armenia. DataArt serves a wide range of industries, including finance, healthcare, and travel, providing tailored technology solutions that enhance operational efficiency and drive growth. The company has also received substantial funding, with a reported amount of $75 million in June 2022, which supports its ongoing development and innovation efforts. DataArt's commitment to AI and machine learning is evident in its dedicated services and its recognition in industry reports, making it a notable player in the technology sector.

6. 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 industries, including healthcare, technology, and agriculture, offering solutions that enhance 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 for machine learning tasks. The company has received $12.8 million in funding as of November 2021, reflecting its growth trajectory and the increasing demand for its services in the AI sector. iMerit's focus on human-in-the-loop workflows and expert validation further strengthens its position in the market, making it a valuable partner for organizations looking to leverage AI effectively.

7. 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, based in Redwood City, California, is an AI technology firm that specializes in programmatic data development for machine learning applications. Founded in 2019, the company has quickly made a name for itself by offering innovative products such as Snorkel Flow and Snorkel Custom. These tools help businesses in various sectors, including finance and healthcare, to accelerate their AI initiatives by streamlining the data labeling and model training processes. Snorkel AI's roots trace back to the Stanford AI Lab, where the foundational research on programmatic labeling and weak supervision was conducted. This research has led to significant advancements in how enterprises can utilize their proprietary data to build specialized AI models efficiently. The company has collaborated with notable organizations, including Google and DARPA, and has been recognized for its contributions to the field through numerous publications and presentations at major AI conferences. Snorkel AI continues to push the boundaries of AI data development, making it a relevant player in the machine learning industry.

8. 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 like retail, healthcare, and financial services. Tredence offers a range of services, including AI consulting, data engineering, and customer analytics, aimed at transforming data into actionable insights. Their focus on operationalizing AI helps businesses improve decision-making and drive growth. The company has received significant funding, with a Series B round totaling $175 million in December 2022, reflecting strong investor interest in their capabilities and market position. Tredence has also been recognized for its expertise, being named a leader in various industry assessments, which underscores its commitment to delivering value through data science solutions.

9. 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 artificial intelligence technology company based in San Francisco, California, founded in 2019. The firm specializes in providing advanced AI solutions tailored for businesses, focusing on areas such as predictive modeling, anomaly detection, and machine learning operations. Their products aim to enhance operational efficiency and support data-driven decision-making across various sectors. Abacus.AI has developed a range of offerings, including ChatLLM, AI Agents, and a robust ML Ops platform, which facilitate the integration of AI into enterprise applications. The company has attracted significant investment, raising $50 million in a Series C funding round in 2021, reflecting strong market interest and confidence in their innovative approach to AI. With a growing team and a commitment to research and development, Abacus.AI is positioned to make a notable impact in the AI and machine learning industry.

10. 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 various 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 improving operational efficiency and decision-making for its clients. The firm has developed proprietary tools such as TigerML and Tiger AI Hub, which facilitate 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 garnered recognition for its contributions to AI strategy consulting and has been ranked among the top firms for data scientists to work for, reflecting its commitment to both innovation and employee satisfaction.

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 assist businesses in sectors like finance, retail, and telecommunications to enhance their data analytics capabilities and make informed decisions. MoBagel's services include automated machine learning, predictive maintenance, and customer segmentation, primarily targeting enterprise clients. The company has a notable presence in Taiwan, where a significant portion of its workforce is located, and it has established partnerships with major firms like Nokia and Philips. Recently, MoBagel secured $20 million in funding, reflecting its growth trajectory and the increasing demand for its AI-driven solutions.

12. 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 is a technology solutions provider based in Palo Alto, California, founded in 2010. The company employs around 447 individuals and operates primarily in the artificial intelligence consultancy space. Provectus focuses on helping businesses enhance their operational efficiency through AI solutions tailored to specific industry needs. Their offerings include AI transformation, machine learning infrastructure, and intelligent document processing. They serve various sectors, such as retail, healthcare, and manufacturing, demonstrating their capability to apply machine learning in practical scenarios. Provectus has also partnered with notable organizations like Cohere to accelerate the adoption of generative AI, further solidifying their role in the AI and machine learning industry.

13. Synaptiq

• Website: synaptiq.ai
• Ownership type: Private
• Headquarters: Portland, Oregon, United States (USA)
• Employee distribution: United States (USA) 100%
• Founded year: 2015
• Headcount: 11-50
• LinkedIn: synaptiq-llc

Synaptiq, founded in 2015 and based in Portland, Oregon, is a private company that specializes in artificial intelligence solutions. With a team of 11 to 50 employees, Synaptiq focuses on innovative applications of AI and machine learning, particularly in healthcare and legal services. Their offerings include machine vision, intelligent automation, and predictive analytics, aimed at enhancing operational efficiency for their clients. The company is dedicated to ethical AI practices, striving to create a positive impact on society through technology. Synaptiq also engages in educational initiatives, such as providing resources for understanding machine learning concepts, which reflects their commitment to raising awareness and knowledge in the field. Their approach combines technical expertise with a focus on human-centered solutions, making them a relevant player in the machine learning industry.

14. Petuum, Inc.

• Website: petuum.com
• Ownership type: Venture Capital
• Headquarters: Pittsburgh, Pennsylvania, United States (USA)
• Latest funding: Series B, $93.0M, October 2017
• Founded year: 2016
• Headcount: 51-200
• LinkedIn: petuum-inc.

Petuum, Inc., founded in 2016 and based in Pittsburgh, Pennsylvania, is a technology firm that focuses on artificial intelligence and machine learning solutions. The company offers generative AI tools and services, including LLM360 and AI Autopilot, designed to help organizations improve their operations across various sectors. Petuum's clientele primarily consists of businesses seeking to leverage AI technologies for enhanced efficiency. The company has received substantial venture capital funding, amounting to $93 million, which underscores its growth potential and the confidence investors have in its innovative approach. Petuum is also dedicated to advancing AI research through proprietary and open-source initiatives, contributing to the broader AI community.

15. Wovenware a Maxar Company

• Website: wovenware.com
• Ownership type: Corporate
• Headquarters: United States (USA)
• Latest funding: November 2022
• Founded year: 2003
• Headcount: 51-200
• LinkedIn: wovenware

Wovenware a Maxar Company is a technology solutions provider based in the United States, founded in 2003. The company specializes in artificial intelligence, software development, and computer vision. Wovenware offers a variety of services, including predictive analytics, machine learning, and digital transformation, aimed at helping businesses in sectors such as healthcare and finance enhance their operational efficiency and drive innovation. Their expertise extends to areas like data labeling, natural language processing, and deep learning, showcasing their comprehensive approach to AI. As part of Maxar's center of software excellence, Wovenware plays a crucial role in advancing technology solutions that meet the evolving needs of their clients. They have not reported any recent funding, indicating a stable operational model focused on delivering value through their existing capabilities.

16. Cogito Tech

• Website: cogitotech.com
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 99%
• Founded year: 2014
• Headcount: 1001-5000
• LinkedIn: cogito-tech-ltd

Cogito Tech, founded in 2014 and based in New York, specializes in data annotation and labeling services tailored for various industries such as healthcare, finance, and retail. With a workforce primarily located in India, the company employs trained specialists to ensure high-quality data curation. Their services are designed to enhance AI and machine learning models, addressing the critical need for accurately labeled data. Cogito Tech offers a range of solutions, including generative AI, computer vision, and natural language processing, which are vital for developing robust machine learning applications. Their commitment to quality and compliance is reflected in their specialized certification processes, making them a trusted partner for organizations aiming to leverage AI effectively.

17. 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. With a team that has extensive experience in AI and analytics, Aible has successfully implemented numerous AI projects across different sectors. The company has raised approximately $26 million in funding, which supports its growth and development in the competitive AI landscape. Aible's commitment to democratizing AI allows business users to engage with advanced analytics without needing specialized knowledge, making AI more accessible to organizations of all sizes.

18. Soothsayer Analytics

• Website: soothsayeranalytics.com
• Ownership type: Private
• Headquarters: Livonia, Michigan, United States (USA)
• Employee distribution: India 65%, United States (USA) 32%, United Arab Emirates 4%
• Founded year: 2014
• Headcount: 51-200
• LinkedIn: soothsayer-analytics

Soothsayer Analytics, founded in 2014 and based in Livonia, Michigan, is a private data science consulting firm that specializes in providing artificial intelligence solutions to enhance business operations. With a team of over 120 professionals, they serve a range of clients, including Fortune 1000 and Global 2000 companies, across various sectors such as manufacturing, retail, insurance, utilities, and healthcare. The firm focuses on developing tailored data science strategies and solutions, including predictive analytics, optimization, and generative AI. They also offer corporate training and education programs to help organizations build internal expertise in data science. Soothsayer Analytics has established a reputation for delivering customized solutions that drive ROI and improve operational efficiency, making them a notable player in the machine learning industry.

19. 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 multiple industries, providing solutions that address specific challenges and improve overall performance.

20. CML Insight

• Website: cmlinsight.com
• Ownership type: Private
• Headquarters: Austin, Texas, United States (USA)
• Employee distribution: United States (USA) 89%, Sri Lanka 11%
• Founded year: 2022
• Headcount: 11-50
• LinkedIn: cml-insight

CML Insight Inc., based in Austin, Texas, is a private data science consulting firm established in 2022. With a team of 19 employees, the company specializes in advanced artificial intelligence and machine learning solutions. CML Insight provides services that include predictive and causal modeling, aimed at enhancing decision-making and operational efficiency for businesses and government organizations. Their expertise spans multiple sectors, such as fintech, education, healthcare, and utilities, where they tackle challenges like customer churn prediction, student success outcomes, and resource management. The firm positions itself as a partner for organizations looking to leverage data for innovation and improved results, emphasizing the importance of actionable insights derived from complex data sets. CML Insight's focus on causal modeling distinguishes it in the market, as it seeks to understand the impact of various interventions and strategies, thereby driving measurable results for its clients.

21. Mosaic Data Science

• Website: mosaicdatascience.com
• Ownership type: Private
• Headquarters: Leesburg, Virginia, United States (USA)
• Employee distribution: United States (USA) 82%, Canada 18%
• Founded year: 2004
• Headcount: 51-200
• LinkedIn: mosaic-data-science

Mosaic Data Science, founded in 2004 and based in Leesburg, Virginia, is a private consulting firm that specializes in AI-powered software solutions. With a team of skilled data scientists, the company focuses on creating custom AI and machine learning applications that drive operational efficiency for businesses across various sectors, including healthcare, transportation, and finance. Their services range from consulting and project execution to data management, all aimed at transforming data into actionable insights. Mosaic has successfully delivered over 200 AI/ML solutions, demonstrating their expertise in the field. They have also been recognized as a top AI and machine learning company by CIO Review in 2024, highlighting their impact and relevance in the industry. The company operates primarily in the United States and Canada, with a strong emphasis on providing tailored solutions that meet the specific needs of their clients.

Machine Learning Companies Insights: Key Companies in the US

Company	Headquarter	Size	Founded	Ownership
H2O.ai	Mountain View, California, United States (USA)	201-500	2012	Venture Capital
Dataiku	New York, New York, United States (USA)	1001-5000	2013	Private Equity
Fractal	New York, New York, United States (USA)	1001-5000	2000	Private Equity
NLP Logix	Jacksonville, Florida, United States (USA)	51-200	2011	Private
DataArt	New York, New York, United States (USA)	5001-10000	1997	Venture Capital
iMerit Technology	San Jose, California, United States (USA)	1001-5000	2012	Venture Capital
Snorkel AI	Redwood City, California, United States (USA)	51-200	2019	Venture Capital
Tredence Inc.	San Jose, California, United States (USA)	1001-5000	2013	Private Equity
Abacus.AI	San Francisco, California, United States (USA)	51-200	2019	Venture Capital
Tiger Analytics	Santa Clara, California, United States (USA)	5001-10000	2011	Private
MoBagel	Santa Clara, California, United States (USA)	51-200	2009	Venture Capital
Provectus	Palo Alto, California, United States (USA)	201-500	2010	Private
Synaptiq	Portland, Oregon, United States (USA)	11-50	2015	Private
Petuum, Inc.	Pittsburgh, Pennsylvania, United States (USA)	51-200	2016	Venture Capital
Wovenware a Maxar Company	United States (USA)	51-200	2003	Corporate
Cogito Tech	New York, New York, United States (USA)	1001-5000	2014	Private
Aible	Pleasanton, California, United States (USA)	11-50	2018	Private
Soothsayer Analytics	Livonia, Michigan, United States (USA)	51-200	2014	Private
RealityEngines.AI	San Francisco, California, United States (USA)	11-50	2019	Private
CML Insight	Austin, Texas, United States (USA)	11-50	2022	Private
Mosaic Data Science	Leesburg, Virginia, United States (USA)	51-200	2004	Private

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