Deep learning companies specialize in technology that mimics human cognition, using algorithms that learn from data to improve accuracy over time. This sector has been transformative, influencing domains such as healthcare, finance, and autonomous systems, by developing tools to process vast amounts of information. Experts predict a surge in adoption across industries as organizations seek to leverage data for competitive advantage. As models become more sophisticated, the demand for customized solutions grows, pointing to a future where AI seamlessly integrates into everyday operations, empowering businesses and enhancing decision-making through real-time insights.

The listed companies vary in size, with workforces ranging from small teams to large organizations, and are situated globally in major tech hubs. Founded between 2005 and 2024, their specializations span diverse areas such as AI research, predictive modeling, and edge AI solutions. These firms are notably backed by both venture capital and corporate funding, reflecting the industry's robust investment landscape. Each company contributes its unique solutions, supported by teams of skilled professionals committed to advancing the field and addressing complex challenges in their respective markets.

Read on to discover the top deep learning companies.

Top 22 Deep Learning Companies Companies

1. DeepMind

• Website: deepmind.com
• Ownership type: Corporate
• Headquarters: London, England, United Kingdom (UK)
• Latest funding: $500.0M, January 2014
• Founded year: 2010
• Headcount: 501-1000
• LinkedIn: deepmind

DeepMind, based in London, is an AI research lab that operates under the umbrella of Google. Founded in 2010, the company has established itself as a pioneer in the field of artificial intelligence, particularly in deep learning. DeepMind is known for its innovative AI models and solutions, including Gemini, a family of advanced AI models, and AlphaFold, which has revolutionized the understanding of protein structures in biology. The company emphasizes the importance of responsible AI development, ensuring that their technologies are used for the benefit of society. DeepMind collaborates with various academic institutions and non-profit organizations to address complex challenges and promote ethical AI practices. With a workforce of around 1,477 employees, DeepMind continues to be a significant player in the AI industry, driving research and development in deep learning and related fields.

2. Preferred Networks, Inc.

• Website: preferred.jp
• Ownership type: Venture Capital
• Headquarters: Chiyoda City, Tokyo, Japan
• Employee distribution: Japan 100%
• Latest funding: Other (Debt), December 2024
• Founded year: 2014
• Headcount: 201-500
• LinkedIn: preferred-networks-inc-

Preferred Networks, Inc. is a technology company based in Chiyoda City, Tokyo, Japan, specializing in deep learning and IoT applications. Founded in 2014, the company has grown to employ around 279 individuals. Preferred Networks focuses on developing innovative products and services that enhance automation and efficiency across various sectors, including manufacturing, transportation, life sciences, and robotics. Their projects leverage advanced technologies to tackle complex challenges faced by businesses. Notable products include CuPy, a general-purpose matrix calculation library for GPU, and Optuna, an automatic hyperparameter optimization framework for machine learning. The company is also involved in research and development across multiple fields, such as computer vision and bioinformatics, and has established partnerships with industry leaders to drive technological advancements. Their commitment to practical applications of deep learning positions them as a significant player in the industry.

3. 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 designed to enhance decision-making and operational efficiency for businesses across various industries, including financial services, healthcare, and manufacturing. Notable products include H2O Driverless AI, which automates machine learning processes, and H2O Document AI, which focuses on intelligent data extraction. H2O.ai is also recognized for its open-source contributions, such as H2O-3 and h2oGPT, which allow organizations to customize and deploy AI models. The company has been acknowledged in the Gartner Magic Quadrant for Cloud AI Developer Services and Data Science and Machine Learning, reflecting its significant role in the AI industry. With a workforce of around 325 employees and a global presence, H2O.ai continues to innovate and support organizations in their AI journeys.

4. Graphcore

• Website: graphcore.ai
• Ownership type: Corporate
• Headquarters: Bristol, England, United Kingdom (UK)
• Employee distribution: United Kingdom (UK) 84%, China 6%, Poland 5%, Other 5%
• Latest funding: July 2024
• Founded year: 2016
• Headcount: 501-1000
• LinkedIn: graphcore

Graphcore Limited, founded in 2016 and headquartered in Bristol, England, is a semiconductor company that focuses on artificial intelligence technology. The company has developed the Intelligence Processing Unit (IPU), a specialized processor designed to enhance machine learning capabilities. Alongside the IPU, Graphcore offers the Poplar software, which supports the deployment and optimization of AI models. Their products are utilized across various sectors, including finance, healthcare, and scientific research, enabling organizations to improve their AI infrastructure and accelerate model development. Graphcore's technology has been adopted by notable clients, including Microsoft, and is available on major cloud platforms like Microsoft Azure. The company operates as a subsidiary of SoftBank Group Corp, which further solidifies its position in the AI market.

5. 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 across various applications, including smart home devices and automotive systems. Their innovative approach allows businesses in technology and manufacturing sectors to integrate advanced AI capabilities into their products. Syntiant's technology is particularly notable for its efficiency, enabling devices to operate with significantly reduced power consumption while maintaining high performance. The company has successfully deployed tens of millions of its ultra-low-power processors globally, showcasing its impact on the market. Syntiant's focus on providing hardware-agnostic machine learning models further enhances its appeal, allowing for seamless integration across a wide range of devices and platforms.

6. Preferred Networks, Inc.

• Website: preferred-networks.jp
• Ownership type: Private
• Headquarters: Chiyoda City, Tokyo, Japan
• Founded year: 2014
• Headcount: 11-50
• LinkedIn: preferred-networks-inc-

Preferred Networks, Inc. is a technology company based in Chiyoda City, Tokyo, Japan, founded in 2014. The company specializes in developing practical applications of deep learning and robotics, aiming to enhance operational efficiency across various industries. Their projects span multiple sectors, including manufacturing, where they work on intelligent industrial robots, and transportation, focusing on autonomous driving technologies. In healthcare, they apply deep learning for medical image analysis and drug discovery. Preferred Networks is also known for its contributions to open-source software, notably the deep learning framework Chainer, which introduced the define-by-run approach. Their products, such as CuPy for matrix calculations and Optuna for hyperparameter optimization, are widely utilized in the machine learning community. The company actively collaborates with industry leaders, showcasing their commitment to innovation and real-world problem-solving.

7. 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. The company serves a range of clients, including businesses and government agencies, helping them enhance operational efficiency and gain competitive advantages through advanced AI capabilities. SambaNova's innovative hardware, the SN40L Reconfigurable Dataflow Unit, is designed to handle demanding AI workloads, positioning the company as a formidable player in the AI market.

8. Numenta

• Website: numenta.com
• Ownership type: Private
• Headquarters: Redwood City, California, United States (USA)
• Employee distribution: United States (USA) 100%
• Founded year: 2005
• Headcount: 11-50
• LinkedIn: numenta

Numenta, founded in 2005 and based in Redwood City, California, is a technology company that specializes in artificial intelligence solutions grounded in neuroscience. The company is known for its NuPIC platform, which allows businesses to leverage CPU infrastructures for scalable and cost-effective AI applications. Numenta's focus is on creating AI that learns continuously and efficiently, drawing from the principles of the human brain. Their Thousand Brains Project, launched in 2024, is an open-source initiative aimed at developing a new type of AI based on their sensorimotor framework for intelligence. Numenta has made significant strides in improving the performance of large language models, achieving notable results in collaboration with Intel, such as a 123x performance improvement for BERT Transformers. This emphasis on practical applications in sectors like technology and gaming highlights their relevance in the AI industry.

9. 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, founded in 2011 and based in Jacksonville, Florida, is an AI consulting firm that specializes in machine learning and data science solutions. The company offers a variety of services, including predictive modeling, natural language processing, and automation, aimed at helping businesses optimize their operations. Their clientele spans multiple sectors, such as healthcare and finance, where they provide innovative solutions to enhance efficiency and decision-making. NLP Logix has a notable history of success, having participated in and excelled in data science competitions, which helped pivot their focus towards machine learning solutions across various industries. The firm has also been recognized for its contributions to the field, receiving several patents for deep learning techniques that improve data extraction and analysis. Their collaborative approach ensures that they work closely with clients to address specific needs, making them a valuable partner in the AI landscape.

10. Bosch Center for Artificial Intelligence (BCAI)

• Website: bosch-ai.com
• Ownership type: Private
• Headquarters: Renningen, Baden-Württemberg, Germany
• Employee distribution: Germany 60%, United States (USA) 20%, Israel 11%, Other 8%
• Founded year: 2017
• Headcount: 201-500
• LinkedIn: bosch-center-for-artificial-intelligence-bcai

Bosch Center for Artificial Intelligence (BCAI), established in 2017 and located in Renningen, Germany, serves as a pivotal research hub within the Bosch Group. The center specializes in artificial intelligence solutions, particularly focusing on deep learning, natural language processing, and reinforcement learning. BCAI aims to enhance operations across various sectors, including manufacturing and supply chain management, by leveraging AI technologies to optimize processes and improve product quality. The center collaborates with multiple Bosch divisions and international partners, fostering scientific exchange and driving applied AI projects from conception to implementation. BCAI's commitment to creating safe, robust, and explainable AI solutions reflects its strategic importance in Bosch's broader goal of integrating AI into its products and services, thereby improving quality of life through innovative technology.

11. Apptware

• Website: apptware.com
• Ownership type: Private
• Headquarters: Pune, Maharashtra, India
• Employee distribution: India 100%
• Founded year: 2019
• Headcount: 51-200
• LinkedIn: apptware

Apptware Solutions, founded in 2019 and based in Pune, Maharashtra, India, is a technology and AI development company that specializes in crafting innovative AI-driven solutions tailored for startups and enterprises. With a workforce of approximately 154 employees, Apptware focuses on enhancing customer interactions and product development through advanced techniques such as machine learning, natural language processing, and predictive modeling. Their client base spans various sectors, including healthcare, fintech, education, IoT, data analytics, and gaming, reflecting their adaptability and commitment to modernizing operations. Apptware's approach combines AI technology with a strong emphasis on design, aiming to create user-friendly and accessible tech solutions. They have positioned themselves as a partner for businesses looking to leverage AI for growth and efficiency, showcasing their capabilities through projects like Intelligent Traffic Management Systems and customer experience enhancements in healthcare and finance.

12. LG AI Research

• Website: lgresearch.ai
• Ownership type: Private
• Headquarters: Seoul, Seoul, South Korea
• Employee distribution: South Korea 96%, United States (USA) 4%
• Founded year: 2020
• Headcount: 201-500
• LinkedIn: lgairesearch

LG AI Research, based in Seoul, South Korea, is a private AI research company that specializes in advanced machine learning and artificial intelligence solutions. Founded in 2020, the company aims to provide innovative technologies and research services to businesses and organizations, enhancing their efficiency and decision-making capabilities through AI. Their research spans several key areas, including advanced machine learning, language processing, vision, multimodal systems, data intelligence, and materials intelligence. Furthermore, LG AI Research is committed to nurturing future talent in the AI sector through its AI graduate school, which offers courses and training to aspiring professionals. This initiative not only contributes to the industry but also helps build a skilled workforce equipped to tackle the challenges of AI and deep learning.

13. Sky Engine Ai

• Website: skyengine.ai
• Ownership type: Venture Capital
• Headquarters: London, England, United Kingdom (UK)
• Employee distribution: Poland 88%, United Kingdom (UK) 12%
• Latest funding: Series A, $7.0M, January 2024
• Founded year: 2018
• Headcount: 11-50
• LinkedIn: skyengine

Sky Engine Ai, founded in 2018 and based in London, is a technology firm that specializes in synthetic data and AI solutions. The company provides a platform designed for data scientists and developers, enabling them to generate synthetic datasets and train AI models efficiently. Their technology caters to various industries, including automotive and healthcare, where they help organizations enhance their AI capabilities while reducing costs. Sky Engine Ai's platform supports the creation of photorealistic synthetic data, which is crucial for training computer vision algorithms. The company has recently raised $7 million in Series A funding, reflecting its potential for growth and innovation in the AI sector. With a team primarily based in Poland, Sky Engine Ai is positioned to make significant contributions to the field of deep learning, particularly in the areas of data generation and model training.

14. Zummit Infolabs

• Website: zummitlabs.com
• Ownership type: Private
• Headquarters: Bengaluru, Karnataka, India
• Founded year: 2021
• Headcount: 51-200
• LinkedIn: zummit-infolabs-llp

Zummit Infolabs, founded in 2021 and based in Bengaluru, Karnataka, India, is a private technology firm that specializes in artificial intelligence and machine learning solutions. The company serves a variety of sectors, including finance, healthcare, manufacturing, and retail, by providing advanced analytics and AI-driven applications. Zummit focuses on solving complex problems through innovative technologies, offering services such as data analytics and model development. Their expertise includes a range of deep learning techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). They have worked on projects involving face detection, emotion detection, autonomous driving, and financial modeling, showcasing their capability to apply deep learning in practical scenarios. The team at Zummit is dedicated to researching and implementing cutting-edge technologies to meet the AI and ML needs of their clients.

15. Neural Magic (Acquired by Red Hat)

• Website: neuralmagic.com
• Ownership type: Corporate
• Headquarters: Somerville, Massachusetts, United States (USA)
• Employee distribution: United States (USA) 78%, Austria 22%
• Latest funding: November 2024
• Founded year: 2018
• Headcount: 51-200
• LinkedIn: neural-magic

Neural Magic, based in Somerville, Massachusetts, is a technology company that specializes in artificial intelligence and machine learning solutions. Founded in 2018, the company has developed innovative products such as nm-vllm and DeepSparse, which are designed to optimize and deploy AI models efficiently. Their offerings cater primarily to businesses in the technology sector, aiming to enhance AI capabilities while minimizing operational costs. Neural Magic is also known for its contributions to the open-source community, particularly in the area of model optimization. The company collaborates with academic institutions, including the Institute of Science and Technology Austria, to advance research in LLM compression techniques. This focus on research and community engagement positions Neural Magic as a significant player in the AI and deep learning industry.

16. Cloud Analogy

• Website: cloudanalogy.com
• Ownership type: Private
• Headquarters: Noida, Uttar Pradesh, India
• Employee distribution: India 98%, Other 2%
• Founded year: 2015
• Headcount: 501-1000
• LinkedIn: cloudanalogy

Cloud Analogy, founded in 2015 and based in Noida, Uttar Pradesh, India, is a private company with a workforce of approximately 765 employees. The firm specializes in AI consulting and software development, focusing on artificial intelligence and machine learning solutions tailored to meet the needs of businesses across multiple sectors. Their services include custom AI development, data science solutions, and strategic consulting aimed at helping clients make informed, data-driven decisions. With a portfolio of over 250 AI-driven projects, Cloud Analogy has established itself as a player in the AI space, employing a team of over 400 AI and ML experts. Their offerings also extend to various applications such as predictive analytics, image recognition, and natural language processing, indicating a robust engagement with deep learning technologies.

17. Layer 6 AI

• Website: layer6.ai
• Ownership type: Venture Capital
• Headquarters: Toronto, Ontario, Canada
• Employee distribution: Canada 100%
• Latest funding: September 2020
• Founded year: 2016
• Headcount: 51-200
• LinkedIn: layer-6-ai

Layer 6 AI, based in Toronto, Ontario, is an AI research company founded in 2016. It specializes in the development and deployment of machine learning systems, with a particular focus on the financial sector. The company aims to enhance decision-making and customer interactions through its AI solutions. Layer 6 collaborates closely with prominent academic institutions, which supports its research initiatives and drives innovation in the field. Their research spans critical areas such as deep learning, generative AI, model explainability, and natural language processing. As the AI center of excellence for TD Bank Group, Layer 6 impacts the lives of over 27 million customers, helping them achieve their financial goals through responsible AI use. The founders of Layer 6 also played key roles in establishing the Vector Institute for Artificial Intelligence and Radical Ventures, further solidifying their position in the Canadian AI ecosystem.

18. 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 the quality and efficiency of 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 they can meet the demands of their clients effectively. The company has received $12.8 million in funding as of November 2021, reflecting investor confidence in their business model and growth potential. With a focus on high-quality data and expert-driven processes, iMerit plays a crucial role in the AI ecosystem, particularly in the areas of computer vision and natural language processing.

19. Synthesis AI

• Website: synthesis.ai
• Ownership type: Venture Capital
• Headquarters: San Francisco, California, United States (USA)
• Employee distribution: United States (USA) 100%
• Latest funding: $169,000, January 2024
• Founded year: 2019
• Headcount: 11-50
• LinkedIn: synthesis-ai

Synthesis AI, based in San Francisco, California, is a technology company that specializes in synthetic data solutions for computer vision and AI applications. Founded in 2019, the company has developed products like Synthesis Humans and Synthesis Scenarios, which are instrumental in helping businesses in sectors such as automotive and security to build effective AI models. Their synthetic data offerings address the challenges of acquiring high-quality training data, which is essential for developing reliable AI systems. Synthesis AI's innovative solutions enable clients to simulate complex scenarios, ensuring that their AI models can perform well in real-world situations. The company has received funding, with its latest round reported in January 2024, indicating ongoing investor interest in its technology and market potential.

20. Habana Labs

• Website: habana.ai
• Ownership type: Corporate
• Headquarters: Tel Aviv-Yafo, Tel Aviv, Israel
• Employee distribution: Israel 87%, India 8%, Poland 4%, Other 1%
• Latest funding: $2.0B, December 2019
• Founded year: 2016
• Headcount: 51-200
• LinkedIn: habana-ai

Habana Labs, based in Tel Aviv-Yafo, Israel, is a technology company that specializes in artificial intelligence and deep learning solutions. Founded in 2016, the company has developed a range of AI accelerators and software aimed at improving the performance and efficiency of AI applications for enterprises. Their flagship products, the Intel Gaudi AI accelerators, are tailored for deep learning training and inference, addressing the growing demands of large-scale AI workloads. Habana Labs serves various industries, including healthcare, fintech, and retail, helping organizations leverage advanced AI capabilities to enhance operational outcomes. The company has attracted significant investment, with a reported funding amount of $2 billion, underscoring its potential in the AI market. With a dedicated focus on providing high-performance, cost-effective solutions, Habana Labs is positioned as a key player in the deep learning sector.

21. Merantix

• Website: merantix.com
• Ownership type: Venture Capital
• Headquarters: Berlin, Berlin, Germany
• Latest funding: $110.0M, November 2023
• Founded year: 2016
• Headcount: 51-200
• LinkedIn: merantix

Merantix is a technology company based in Berlin, Germany, founded in 2016. The firm specializes in artificial intelligence, focusing on researching, building, and investing in AI solutions tailored for various industries, including healthcare and finance. Merantix operates an incubation platform that nurtures machine learning startups, providing them with seed financing and access to a network of entrepreneurs and engineers. This approach allows them to translate cutting-edge research into practical applications. In November 2023, Merantix secured 110 million euros in funding, underscoring their growth trajectory and commitment to enhancing AI integration across sectors. Their mission is to create impactful AI solutions that not only drive business success but also contribute to a more sustainable and meaningful future.

22. Tezeract

• Website: tezeract.ai
• Ownership type: Private
• Headquarters: Karachi, Sindh, Pakistan
• Employee distribution: Pakistan 100%
• Founded year: 2021
• Headcount: 11-50
• LinkedIn: tezeract

Tezeract is an AI development company based in Karachi, Pakistan, founded in 2021. With a team of 25 employees, the company focuses on providing comprehensive AI solutions and software development services tailored to various industries, including fashion, healthcare, education, sports, real estate, and retail. Tezeract's expertise spans several areas, including AI development, machine learning, deep learning, and intelligent systems. They offer services such as predictive analytics, natural language processing, and computer vision, which are essential for modern AI applications. The company positions itself as a strategic partner for businesses looking to enhance operational efficiency and automate processes through innovative technology solutions. Their portfolio showcases a range of projects that highlight their capabilities in delivering AI-driven solutions that address real-world challenges.

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