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 their services. The industry’s growth reflects the 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, these 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 their geographical advantage and expertise to serve clients globally, making notable contributions to the industry landscape.

Continue reading to discover the top machine learning companies in New York.

Top 19 Machine Learning Companies in New York

1. 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 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 the 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 further innovation and expansion of its offerings, solidifying its position in the competitive landscape of machine learning solutions.

2. 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 range of AI-driven products and services designed to help businesses optimize their 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 the increasing demand for its services. The company also emphasizes responsible AI and has established partnerships with major tech firms like Amazon, Google, and Microsoft, further solidifying its position in the industry.

3. 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, founded in 1997. With a workforce of over 5,000 employees, the 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 the digital age. Their recent funding of $75 million in June 2022 further supports their ongoing projects and initiatives in AI and machine learning. The company has also been recognized in the Gartner Hype Cycle for Life Sciences, specifically in the AI in Clinical Development category, underscoring their expertise in applying machine learning in critical areas.

4. 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. With a workforce primarily located in India, the company has established itself as a key player in the 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 they 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 their data operations meet rigorous standards. Their managed workforce of trained specialists further enhances the quality and reliability of their services, making them a trusted partner for organizations looking to leverage AI effectively.

5. Webtunix AI

• Website: webtunix.com
• 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

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, the 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 the importance of data-driven insights and offers tailored solutions to meet the specific needs of their clients, thereby positioning themselves as a significant player in the AI and machine learning consulting space.

6. Sigmoid

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

Sigmoid is a data solutions company based in New York, founded in 2013. With a workforce of over 1,100 employees, the 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 the confidence of investors in its business model. Their services are designed to help enterprises leverage data effectively, operationalize AI, and achieve measurable outcomes from their analytics initiatives.

7. SciEncephalon AI

• Website: sciencephalon.com
• 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

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 their commitment to harnessing AI for practical business outcomes. The company serves a clientele that spans small startups to large enterprises, reflecting their adaptability and focus on tailored solutions.

8. Ai Rev

• Website: airev.us
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: Poland 54%, United States (USA) 39%, Netherlands 7%
• Founded year: 2018
• Headcount: 51-200
• LinkedIn: ai-rev

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 their experience with high-profile clients underscore their relevance in the AI consulting space.

9. Onix

• Website: onixnet.com
• Ownership type: Private Equity
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 77%, United States (USA) 19%, Canada 3%, Other 1%
• Latest funding: July 2022
• Founded year: 1992
• Headcount: 1001-5000
• LinkedIn: onix-networking-corp-

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 the cloud and optimizing their 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 their data to AI journey. Their recognition as a Google Cloud Partner of the Year multiple times underscores their expertise in the cloud and AI/ML domains. Onix's commitment to innovation and customer success positions them as a significant player in the machine learning industry.

10. Indicium

• Website: indicium.tech
• 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-tech

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 their 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, the 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 the field. Recently, they secured $40 million in funding, indicating strong investor confidence in their business model and growth potential. Their commitment to upskilling and training further enhances their role in the data and AI sectors, making them a notable player in the industry.

11. Wallaroo.AI

• Website: wallaroo.ai
• 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: wallarooai

Wallaroo.AI is a New York-based software company that specializes in artificial intelligence and machine learning solutions. Established in 2017, the company offers a platform designed to streamline the 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 their 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 their 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: huggingface.co
• Ownership type: Venture Capital
• Headquarters: Brooklyn, New York, United States (USA)
• Employee distribution: France 53%, United States (USA) 24%, Spain 3%, Other 20%
• Latest funding: August 2024
• Founded year: 2016
• Headcount: 51-200
• LinkedIn: huggingface

Hugging Face, Inc. is a technology company based in Brooklyn, New York, specializing in machine learning tools and libraries. Founded in 2016, the 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 the 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 the AI space.

13. Galahad

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

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 their 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 their ability to apply machine learning across different industries. Their services also include risk management and intelligent process automation, further highlighting their 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: reliablegroup.com
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 83%, United States (USA) 15%, Other 2%
• Founded year: 1971
• Headcount: 201-500
• LinkedIn: reliable-group

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

15. Hudson Data

• Website: hudsondata.com
• 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: hudsondata

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, the company has carved out a niche in sectors such as fintech, insurance, and banking. Their product suite includes the Centurion Platform, Model Foundry, MLGraph, and FlowX, which are designed to enhance risk management and fraud detection capabilities for their 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: triumai.com
• 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: triumai

Trium Ai Solutions INC. is a New York-based technology consulting company that specializes in artificial intelligence and machine learning solutions. Established in 2018, the firm offers a range of services that include big data analytics, predictive analytics, and the 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 their capability to address specific industry challenges. With a workforce primarily based in the United States, Trium AI is actively contributing to the machine learning field, despite its smaller size and absence of external funding.

17. Yobi AI

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

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 the 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 the growing demand for high-quality data in AI and machine learning applications.

18. Zenon

• Website: zenon.ai
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 80%, United States (USA) 19%, Other 1%
• Founded year: 2018
• Headcount: 51-200
• LinkedIn: zenonai

Zenon LLC, founded in 2018 and based in New York, is a consulting firm that specializes in AI-enabled automation solutions tailored for the 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 the 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 their commitment to delivering impactful results. Zenon has also achieved recognition in various data science competitions, showcasing the caliber of their talent and the effectiveness of their methodologies.

19. Descartes Labs

• Website: descarteslabs.com
• 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

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 other 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
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
DataArt	New York, New York, United States (USA)	5001-10000	1997	Venture Capital
Cogito Tech	New York, New York, United States (USA)	1001-5000	2014	Private
Webtunix AI	New York, New York, United States (USA)	51-200	2015	Private
Sigmoid	New York, New York, United States (USA)	1001-5000	2013	Venture Capital
SciEncephalon AI	New York, New York, United States (USA)	51-200	2020	Private
Ai Rev	New York, New York, United States (USA)	51-200	2018	Private
Onix	New York, New York, United States (USA)	1001-5000	1992	Private Equity
Indicium	New York, New York, United States (USA)	201-500	2017	Private
Wallaroo.AI	New York, New York, United States (USA)	11-50	2017	Venture Capital
Hugging Face	Brooklyn, New York, United States (USA)	51-200	2016	Venture Capital
Galahad	Webster, New York, United States (USA)	11-50	2017	Private
Reliable Group	New York, New York, United States (USA)	201-500	1971	Private
Hudson Data	New York, New York, United States (USA)	11-50	2013	Private
Trium Ai Solutions INC.	New York, New York, United States (USA)	1-10	2018	Private
Yobi AI	New York, New York, United States (USA)	11-50	2019	Private
Zenon	New York, New York, United States (USA)	51-200	2018	Private
Descartes Labs	New York, New York, United States (USA)	51-200	2014	Corporate

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