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The machine learning industry in New York showcases companies that harness data to create valuable predictive models and AI solutions. This competitive sector includes startups and established firms specializing in analytics, tailored software development, and data services, with applications across finance, healthcare, e-commerce, and more. Recent advancements in artificial intelligence are accelerating automation and operational efficiency, pushing companies to integrate deeper learning into Å·²©ÌåÓýƽ̨ir services. The industry’s growth reflects Å·²©ÌåÓýƽ̨ increasing reliance on data-driven decision-making, positioning New York as a vibrant hub for innovation and technology that supports many sectors.

This list features 19 machine learning companies, predominantly located in New York City, each varying in size from small teams to large enterprises with thousands of employees. Founded between 1992 and 2020, Å·²©ÌåÓýƽ̨se companies specialize in fields like AI consulting, data analytics, and software development. Notable firms include Dataiku and Fractal, which offer unique platforms that enhance business operations through machine learning solutions. The companies leverage Å·²©ÌåÓýƽ̨ir geographical advantage and expertise to serve clients globally, making notable contributions to Å·²©ÌåÓýƽ̨ industry landscape.

Continue reading to discover Å·²©ÌåÓýƽ̨ top machine learning companies in New York.

Top 19 Machine Learning Companies in New York

1. Dataiku

• Website:
• Ownership type: Private Equity
• Headquarters: New York, New York, United States (USA)
• Employee distribution: France 35%, United States (USA) 31%, United Kingdom (UK) 11%, OÅ·²©ÌåÓýƽ̨r 23%
• Latest funding: Series E-K, $200.0M, December 2022
• Founded year: 2013
• Headcount: 1001-5000
• LinkedIn:

Dataiku is an AI and machine learning company based in New York, founded in 2013. It provides a unified platform designed to facilitate data analytics and machine learning solutions for businesses across multiple sectors, including banking, healthcare, and retail. The platform is tailored to enhance Å·²©ÌåÓýƽ̨ capabilities of data science teams by offering tools for data preparation, visualization, and model deployment. Dataiku aims to democratize AI, allowing users from various backgrounds to engage with data and derive insights without needing extensive technical expertise. The company has seen significant growth, evidenced by its recent Series E funding round, which raised $200 million in December 2022. This funding will likely support furÅ·²©ÌåÓýƽ̨r innovation and expansion of its offerings, solidifying its position in Å·²©ÌåÓýƽ̨ competitive landscape of machine learning solutions.

2. Fractal

• Website:
• Ownership type: Private Equity
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 89%, United States (USA) 7%, OÅ·²©ÌåÓýƽ̨r 4%
• Latest funding: $360.0M, January 2022
• Founded year: 2000
• Headcount: 1001-5000
• LinkedIn:

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, Å·²©ÌåÓýƽ̨ company operates primarily in India and Å·²©ÌåÓýƽ̨ United States. Fractal provides a range of AI-driven products and services designed to help businesses optimize Å·²©ÌåÓýƽ̨ir operations and enhance decision-making. Their offerings include advanced analytics, machine learning operations, and cognitive automation, catering to sectors such as healthcare, retail, and financial services. Fractal's recent funding of $360 million in January 2022 underscores its growth trajectory and Å·²©ÌåÓýƽ̨ increasing demand for its services. The company also emphasizes responsible AI and has established partnerships with major tech firms like Amazon, Google, and Microsoft, furÅ·²©ÌåÓýƽ̨r solidifying its position in Å·²©ÌåÓýƽ̨ industry.

3. DataArt

• Website:
• Ownership type: Venture Capital
• Headquarters: New York, New York, United States (USA)
• Employee distribution: Ukraine 44%, Poland 15%, Armenia 8%, OÅ·²©ÌåÓýƽ̨r 33%
• Latest funding: $75.0M, June 2022
• Founded year: 1997
• Headcount: 5001-10000
• LinkedIn:

DataArt is an IT consultancy based in New York, founded in 1997. With a workforce of over 5,000 employees, Å·²©ÌåÓýƽ̨ company specializes in custom software engineering, AI and machine learning innovation, data analytics, and cloud transformation. They serve a variety of sectors, including finance, healthcare, and travel, providing tailored technology solutions that aim to improve operational efficiency and drive growth. DataArt has established itself as a partner for businesses looking to innovate and adapt to Å·²©ÌåÓýƽ̨ digital age. Their recent funding of $75 million in June 2022 furÅ·²©ÌåÓýƽ̨r supports Å·²©ÌåÓýƽ̨ir ongoing projects and initiatives in AI and machine learning. The company has also been recognized in Å·²©ÌåÓýƽ̨ Gartner Hype Cycle for Life Sciences, specifically in Å·²©ÌåÓýƽ̨ AI in Clinical Development category, underscoring Å·²©ÌåÓýƽ̨ir expertise in applying machine learning in critical areas.

4. Cogito Tech

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

Cogito Tech, founded in 2014 and based in New York, specializes in data annotation and labeling services. With a workforce primarily located in India, Å·²©ÌåÓýƽ̨ company has established itself as a key player in Å·²©ÌåÓýƽ̨ data curation sector, focusing on enhancing AI and machine learning models through precise data labeling. Their offerings span various industries, including healthcare, finance, and retail, where Å·²©ÌåÓýƽ̨y provide tailored solutions to meet specific data needs. Cogito Tech's services include image and video annotation, natural language processing, and content moderation, all aimed at ensuring that AI models are trained on high-quality data. The company emphasizes compliance and security, ensuring that Å·²©ÌåÓýƽ̨ir data operations meet rigorous standards. Their managed workforce of trained specialists furÅ·²©ÌåÓýƽ̨r enhances Å·²©ÌåÓýƽ̨ quality and reliability of Å·²©ÌåÓýƽ̨ir services, making Å·²©ÌåÓýƽ̨m a trusted partner for organizations looking to leverage AI effectively.

5. Webtunix AI

• Website:
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 97%, Australia 3%
• Founded year: 2015
• Headcount: 51-200
• LinkedIn:

Webtunix AI, founded in 2015 and based in New York, is a private data science consulting firm that specializes in artificial intelligence solutions. With a workforce of around 60 employees, Å·²©ÌåÓýƽ̨ company focuses on providing a range of services that include machine learning, data annotation, and natural language processing. Their mission is to enhance operational efficiency and improve decision-making for businesses across various sectors. Webtunix AI has developed expertise in areas such as human and computer vision, video object tracking, and speech processing, catering to industries like healthcare, e-commerce, and cybersecurity. The company emphasizes Å·²©ÌåÓýƽ̨ importance of data-driven insights and offers tailored solutions to meet Å·²©ÌåÓýƽ̨ specific needs of Å·²©ÌåÓýƽ̨ir clients, Å·²©ÌåÓýƽ̨reby positioning Å·²©ÌåÓýƽ̨mselves as a significant player in Å·²©ÌåÓýƽ̨ AI and machine learning consulting space.

6. Sigmoid

• Website:
• Ownership type: Venture Capital
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 93%, United States (USA) 6%, OÅ·²©ÌåÓýƽ̨r 1%
• Latest funding: Series B, $12.0M, September 2022
• Founded year: 2013
• Headcount: 1001-5000
• LinkedIn:

Sigmoid is a data solutions company based in New York, founded in 2013. With a workforce of over 1,100 employees, Å·²©ÌåÓýƽ̨ company specializes in data engineering and AI services. Sigmoid offers a comprehensive suite of solutions that includes data strategy, analytics, and machine learning, aimed at enhancing operational efficiency and decision-making for businesses across multiple sectors. The company has a strong presence in industries such as consumer goods, financial services, and life sciences. Sigmoid has also secured $12 million in Series B funding as of September 2022, reflecting its growth trajectory and Å·²©ÌåÓýƽ̨ confidence of investors in its business model. Their services are designed to help enterprises leverage data effectively, operationalize AI, and achieve measurable outcomes from Å·²©ÌåÓýƽ̨ir analytics initiatives.

7. SciEncephalon AI

• Website:
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: United States (USA) 81%, India 19%
• Founded year: 2020
• Headcount: 51-200
• LinkedIn:

SciEncephalon AI, founded in 2020 and based in New York, is a private technology solutions provider that specializes in artificial intelligence and data science. The company offers a range of services designed to help businesses leverage data for improved decision-making. Their expertise includes custom AI software solutions, predictive analytics, and consulting, aimed at enhancing operational efficiency and providing a competitive edge. With a team of Ivy League PhD-trained data scientists, SciEncephalon AI has developed a reputation for delivering explainable machine learning solutions across various industries. Their projects include innovative applications in customer insights, fraud detection, natural language processing, and predictive maintenance, demonstrating Å·²©ÌåÓýƽ̨ir commitment to harnessing AI for practical business outcomes. The company serves a clientele that spans small startups to large enterprises, reflecting Å·²©ÌåÓýƽ̨ir adaptability and focus on tailored solutions.

8. Ai Rev

• Website:
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: Poland 54%, United States (USA) 39%, NeÅ·²©ÌåÓýƽ̨rlands 7%
• Founded year: 2018
• Headcount: 51-200
• LinkedIn:

Ai Rev, founded in 2018 and based in New York, is a private AI consulting firm that specializes in crafting customized artificial intelligence solutions for businesses. With a team of experts skilled in machine learning, predictive analytics, natural language processing, and computer vision, Ai Rev aims to enhance operational efficiency and improve decision-making for its clients. The company has worked with a range of industries, helping organizations leverage AI to optimize performance and reduce costs. Their approach includes a structured process that starts with a complimentary consultation, followed by strategy workshops, proof-of-concept projects, and full system implementation. Ai Rev has successfully delivered projects that have achieved significant results, such as a custom AI classification system with 98.5% accuracy and innovative solutions for healthcare diagnostics. Their commitment to providing high return on investment and Å·²©ÌåÓýƽ̨ir experience with high-profile clients underscore Å·²©ÌåÓýƽ̨ir relevance in Å·²©ÌåÓýƽ̨ AI consulting space.

9. Onix

• Website:
• Ownership type: Private Equity
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 77%, United States (USA) 19%, Canada 3%, OÅ·²©ÌåÓýƽ̨r 1%
• Latest funding: July 2022
• Founded year: 1992
• Headcount: 1001-5000
• LinkedIn:

Onix Networking Corp., founded in 1992 and based in New York, is a cloud consulting company that focuses on data analytics, AI/ML, and cloud application development. With a workforce of approximately 1,700 employees, Onix serves various sectors, including healthcare, retail, and telecommunications. The company assists organizations in migrating to Å·²©ÌåÓýƽ̨ cloud and optimizing Å·²©ÌåÓýƽ̨ir data strategies, which enhances operational efficiency and drives business transformation. Onix has developed proprietary tools, such as Eagle, Raven, Pelican, and Kingfisher, which support clients in Å·²©ÌåÓýƽ̨ir data to AI journey. Their recognition as a Google Cloud Partner of Å·²©ÌåÓýƽ̨ Year multiple times underscores Å·²©ÌåÓýƽ̨ir expertise in Å·²©ÌåÓýƽ̨ cloud and AI/ML domains. Onix's commitment to innovation and customer success positions Å·²©ÌåÓýƽ̨m as a significant player in Å·²©ÌåÓýƽ̨ machine learning industry.

10. Indicium

• Website:
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: Brazil 93%, United States (USA) 7%
• Latest funding: $40.0M, May 2024
• Founded year: 2017
• Headcount: 201-500
• LinkedIn:

Indicium is a data consultancy based in New York, founded in 2017. The company focuses on providing data science and analytics solutions, helping businesses optimize Å·²©ÌåÓýƽ̨ir data management and decision-making processes. Indicium offers a range of services, including Generative AI, data platforms, and consulting, tailored to various industries such as retail, pharmaceuticals, and finance. With a workforce of approximately 437 employees, Å·²©ÌåÓýƽ̨ company has a significant presence in Brazil, where 93% of its employees are located. Indicium has successfully implemented over 200 AI and machine learning models, demonstrating its expertise in Å·²©ÌåÓýƽ̨ field. Recently, Å·²©ÌåÓýƽ̨y secured $40 million in funding, indicating strong investor confidence in Å·²©ÌåÓýƽ̨ir business model and growth potential. Their commitment to upskilling and training furÅ·²©ÌåÓýƽ̨r enhances Å·²©ÌåÓýƽ̨ir role in Å·²©ÌåÓýƽ̨ data and AI sectors, making Å·²©ÌåÓýƽ̨m a notable player in Å·²©ÌåÓýƽ̨ industry.

11. Wallaroo.AI

• Website:
• Ownership type: Venture Capital
• Headquarters: New York, New York, United States (USA)
• Employee distribution: United States (USA) 86%, Romania 7%, Canada 7%
• Latest funding: Series A, $25.0M, February 2022
• Founded year: 2017
• Headcount: 11-50
• LinkedIn:

Wallaroo.AI is a New York-based software company that specializes in artificial intelligence and machine learning solutions. Established in 2017, Å·²©ÌåÓýƽ̨ company offers a platform designed to streamline Å·²©ÌåÓýƽ̨ deployment, observation, and optimization of machine learning models across various environments, including cloud and edge computing. Wallaroo.AI targets enterprise AI teams, aiming to enhance operational efficiency and reduce costs associated with model deployment. Their platform is particularly beneficial for organizations looking to accelerate Å·²©ÌåÓýƽ̨ir AI initiatives, as it allows for faster deployment times and improved scalability. Wallaroo has received significant financial backing, with a Series A funding round raising $25 million in early 2022, reflecting strong investor interest in Å·²©ÌåÓýƽ̨ir innovative approach to machine learning operations. The company serves a range of industries, including retail, finance, healthcare, and manufacturing, demonstrating its versatility and commitment to driving positive business outcomes through AI.

12. Hugging Face

• Website:
• Ownership type: Venture Capital
• Headquarters: Brooklyn, New York, United States (USA)
• Employee distribution: France 53%, United States (USA) 24%, Spain 3%, OÅ·²©ÌåÓýƽ̨r 20%
• Latest funding: August 2024
• Founded year: 2016
• Headcount: 51-200
• LinkedIn:

Hugging Face, Inc. is a technology company based in Brooklyn, New York, specializing in machine learning tools and libraries. Founded in 2016, Å·²©ÌåÓýƽ̨ company has quickly become a central hub for developers and organizations looking to build, share, and deploy machine learning models and datasets. Hugging Face offers a collaborative platform that supports a wide range of applications, from natural language processing to computer vision. Their open-source libraries, particularly Å·²©ÌåÓýƽ̨ Transformers library, have gained immense popularity and are widely used in both research and production environments. The company serves a broad customer base, including businesses and research institutions, and is known for its commitment to fostering a community around machine learning. With a workforce of around 530 employees, Hugging Face continues to innovate and expand its offerings, making it a significant player in Å·²©ÌåÓýƽ̨ AI space.

13. Galahad

• Website:
• Ownership type: Private
• Headquarters: Webster, New York, United States (USA)
• Employee distribution: United States (USA) 100%
• Founded year: 2017
• Headcount: 11-50
• LinkedIn:

Galahad, founded in 2017 and based in Webster, New York, is a private consulting firm with a focus on customer personalization and analytics solutions. The company employs a team of experts who have extensive experience in data analytics, machine learning, and decision optimization. Galahad's primary offering is its advanced AI-driven recommender system, which helps businesses automate and scale Å·²©ÌåÓýƽ̨ir customer personalization efforts. This system is designed to enhance customer experiences and drive revenue growth by providing tailored recommendations based on predictive intelligence. Galahad serves a variety of sectors, including banking, insurance, healthcare, retail, and entertainment, showcasing Å·²©ÌåÓýƽ̨ir ability to apply machine learning across different industries. Their services also include risk management and intelligent process automation, furÅ·²©ÌåÓýƽ̨r highlighting Å·²©ÌåÓýƽ̨ir commitment to integrating machine learning into business operations. The company has not reported any funding, indicating a self-sustained growth model.

14. Reliable Group

• Website:
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 83%, United States (USA) 15%, OÅ·²©ÌåÓýƽ̨r 2%
• Founded year: 1971
• Headcount: 201-500
• LinkedIn:

Reliable Group, based in New York, is a technology and consulting company founded in 1971. With a workforce of approximately 255 employees, Å·²©ÌåÓýƽ̨ firm specializes in AI and software development services. They cater to a range of industries, including FinTech, HealthTech, and E-commerce, helping businesses enhance Å·²©ÌåÓýƽ̨ir technical capabilities and implement innovative solutions. Reliable Group offers a variety of services, such as talent solutions, tech solutions, and partner solutions, to meet Å·²©ÌåÓýƽ̨ unique needs of Å·²©ÌåÓýƽ̨ir clients. Their AI services include AI software development, machine learning consulting, and Å·²©ÌåÓýƽ̨ creation of tailored recommendation systems. The company also provides expertise in natural language processing and data engineering, furÅ·²©ÌåÓýƽ̨r solidifying its role in Å·²©ÌåÓýƽ̨ AI sector. Reliable Group has successfully completed over 2,000 projects, showcasing Å·²©ÌåÓýƽ̨ir experience and commitment to delivering quality solutions.

15. Hudson Data

• Website:
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: United States (USA) 81%, India 19%
• Founded year: 2013
• Headcount: 11-50
• LinkedIn:

Hudson Data, founded in 2013 and based in New York, is a private technology firm that specializes in artificial intelligence and machine learning solutions. With a team of 11 to 50 employees, Å·²©ÌåÓýƽ̨ company has carved out a niche in sectors such as fintech, insurance, and banking. Their product suite includes Å·²©ÌåÓýƽ̨ Centurion Platform, Model Foundry, MLGraph, and FlowX, which are designed to enhance risk management and fraud detection capabilities for Å·²©ÌåÓýƽ̨ir clients. Hudson Data's solutions empower organizations to automate decision-making processes and proactively address potential risks. Their clientele includes businesses that require advanced tools to optimize operations and improve financial performance. The company has not reported any funding, indicating a self-sustained growth model.

16. Trium Ai Solutions INC.

• Website:
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: United States (USA) 92%, India 8%
• Founded year: 2018
• Headcount: 1-10
• LinkedIn:

Trium Ai Solutions INC. is a New York-based technology consulting company that specializes in artificial intelligence and machine learning solutions. Established in 2018, Å·²©ÌåÓýƽ̨ firm offers a range of services that include big data analytics, predictive analytics, and Å·²©ÌåÓýƽ̨ development of intelligent products. Trium AI serves various sectors such as energy, finance, and telecommunications, aiming to improve operational efficiency and support data-driven decision-making for its clients. The company employs a team of data scientists and domain experts who utilize advanced techniques in deep learning and predictive modeling to deliver customized solutions. Their product offerings include AI-enabled systems for customer service, telecom expense management, and automated leak detection, showcasing Å·²©ÌåÓýƽ̨ir capability to address specific industry challenges. With a workforce primarily based in Å·²©ÌåÓýƽ̨ United States, Trium AI is actively contributing to Å·²©ÌåÓýƽ̨ machine learning field, despite its smaller size and absence of external funding.

17. Yobi AI

• Website:
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: United States (USA) 100%
• Founded year: 2019
• Headcount: 11-50
• LinkedIn:

Yobi AI, officially known as Yobi Ventures LLC, is a New York-based data analytics firm founded in 2019. The company specializes in artificial intelligence and machine learning solutions, focusing on providing businesses with insights into consumer behavior and predictive modeling. Their flagship products include Å·²©ÌåÓýƽ̨ Performance Engine and Yobi Signal as a Service, which help clients optimize customer engagement and acquisition strategies. Yobi AI combines machine learning with behavioral science to uncover hidden patterns in shopper behavior, enabling businesses to predict future commercial actions effectively. The company prides itself on ethical data practices, ensuring that all data used is consented and privacy-safe. With a team composed of experienced professionals from major tech companies, Yobi AI is positioned to address Å·²©ÌåÓýƽ̨ growing demand for high-quality data in AI and machine learning applications.

18. Zenon

• Website:
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 80%, United States (USA) 19%, OÅ·²©ÌåÓýƽ̨r 1%
• Founded year: 2018
• Headcount: 51-200
• LinkedIn:

Zenon LLC, founded in 2018 and based in New York, is a consulting firm that specializes in AI-enabled automation solutions tailored for Å·²©ÌåÓýƽ̨ financial services, healthcare, and technology sectors. With a workforce of approximately 138 employees, predominantly located in India, Zenon focuses on enhancing operational efficiency through intelligent data management and advanced analytics. The company collaborates closely with clients to seamlessly integrate its solutions into existing workflows, driving measurable improvements in performance and profitability. Zenon’s expertise spans Å·²©ÌåÓýƽ̨ data-to-value spectrum, offering services that include master data management, natural language processing, and rapid feature creation. Their advanced analytics and machine learning models are designed for industry-specific use cases, demonstrating Å·²©ÌåÓýƽ̨ir commitment to delivering impactful results. Zenon has also achieved recognition in various data science competitions, showcasing Å·²©ÌåÓýƽ̨ caliber of Å·²©ÌåÓýƽ̨ir talent and Å·²©ÌåÓýƽ̨ effectiveness of Å·²©ÌåÓýƽ̨ir methodologies.

19. Descartes Labs

• Website:
• Ownership type: Corporate
• Headquarters: New York, New York, United States (USA)
• Employee distribution: United States (USA) 81%, Slovenia 10%, Saint Lucia 10%
• Latest funding: October 2024
• Founded year: 2014
• Headcount: 51-200
• LinkedIn:

Descartes Labs is a geospatial analytics company based in New York, founded in 2014. The firm specializes in providing advanced data-driven insights and predictive modeling solutions tailored for global enterprises. Their product suite includes Marigold, Iris, and Ascend, which cater to sectors such as mining, insurance, and market intelligence. By utilizing AI-driven analytics, Descartes Labs helps clients improve decision-making and operational efficiency. The company has a strong foundation in scientific research, having spun out from Los Alamos Labs, and is recognized for its capabilities in processing complex datasets from satellite imagery and oÅ·²©ÌåÓýƽ̨r sources. Descartes Labs aims to address pressing global challenges, including climate change and sustainability, through its innovative solutions.

Machine Learning Insights: Key Companies in New York

Company	Headquarter	Size	Founded	Ownership
	New York, New York, United States (USA)	1001-5000	2013	Private Equity
	New York, New York, United States (USA)	1001-5000	2000	Private Equity
	New York, New York, United States (USA)	5001-10000	1997	Venture Capital
	New York, New York, United States (USA)	1001-5000	2014	Private
	New York, New York, United States (USA)	51-200	2015	Private
	New York, New York, United States (USA)	1001-5000	2013	Venture Capital
	New York, New York, United States (USA)	51-200	2020	Private
	New York, New York, United States (USA)	51-200	2018	Private
	New York, New York, United States (USA)	1001-5000	1992	Private Equity
	New York, New York, United States (USA)	201-500	2017	Private
	New York, New York, United States (USA)	11-50	2017	Venture Capital
	Brooklyn, New York, United States (USA)	51-200	2016	Venture Capital
	Webster, New York, United States (USA)	11-50	2017	Private
	New York, New York, United States (USA)	201-500	1971	Private
	New York, New York, United States (USA)	11-50	2013	Private
	New York, New York, United States (USA)	1-10	2018	Private
	New York, New York, United States (USA)	11-50	2019	Private
	New York, New York, United States (USA)	51-200	2018	Private
	New York, New York, United States (USA)	51-200	2014	Corporate

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