1
Country: USA | Funding: $189B
OpenAI develops generative AI models: GPT for language, DALLE for images and Codex for code. The company's main product is the chatbot ChatGPT, which is used as a personal smart assistant and in enterprise customer support and knowledge management systems via APIs. The company also conducts scientific research aimed at achieving artificial general intelligence. The company's initial goal was the security and openness of artificial intelligence, but it has gradually moved toward closing and commercializing its ML and NLP technologies. According to CEO Sam Altman, AGI is achieving a certain amount of revenue. The primary OpenAI's investor is Microsoft and it has strategic partnership with NVidia. OpenAI is also a primary AI provider for the US Department of War
OpenAI develops generative AI models: GPT for language, DALLE for images and Codex for code. The company's main product is the chatbot ChatGPT, which is used as a personal smart assistant and in enterprise customer support and knowledge management systems via APIs. The company also conducts scientific research aimed at achieving artificial general intelligence. The company's initial goal was the security and openness of artificial intelligence, but it has gradually moved toward closing and commercializing its ML and NLP technologies. According to CEO Sam Altman, AGI is achieving a certain amount of revenue. The primary OpenAI's investor is Microsoft and it has strategic partnership with NVidia. OpenAI is also a primary AI provider for the US Department of War
2
Country: USA | Funding: $1.1B
Physical Intelligence develops general-purpose ML models for robots and other physical devices. The company collects data from robots in its lab and from real-world robots in other locations - warehouses, shops, homes - and uses this data to train universal base robot models. The goal is to create a pre-trained model (similar to GPT). The idea is that if someone creates a new hardware platform, they won't have to start collecting data from scratch—they can transfer all the knowledge the model already has. The company already works with a small number of companies in various industries - logistics, grocery stores and chocolate makers. When researchers train a new model, it comes back to stations like these for evaluation.
Physical Intelligence develops general-purpose ML models for robots and other physical devices. The company collects data from robots in its lab and from real-world robots in other locations - warehouses, shops, homes - and uses this data to train universal base robot models. The goal is to create a pre-trained model (similar to GPT). The idea is that if someone creates a new hardware platform, they won't have to start collecting data from scratch—they can transfer all the knowledge the model already has. The company already works with a small number of companies in various industries - logistics, grocery stores and chocolate makers. When researchers train a new model, it comes back to stations like these for evaluation.
3
Country: USA | Funding: $255M
Fundamental develops AI models to extract useful insights from the massive volumes of structured data generated by large enterprises. It combines legacy predictive AI systems with more modern tools. Unlike traditional LLMs, Fundamental's large table model, called Nexus, is deterministic - meaning it produces the same answer every time it's asked a given question, and does not use the Transformer architecture. Because Transformer-based AI models can only process data within their context window, they often struggle to analyze extremely large datasets, for example, a spreadsheet with billions of rows. However, such huge structured datasets are common in large enterprises, creating significant opportunities for models capable of handling such scale.
Fundamental develops AI models to extract useful insights from the massive volumes of structured data generated by large enterprises. It combines legacy predictive AI systems with more modern tools. Unlike traditional LLMs, Fundamental's large table model, called Nexus, is deterministic - meaning it produces the same answer every time it's asked a given question, and does not use the Transformer architecture. Because Transformer-based AI models can only process data within their context window, they often struggle to analyze extremely large datasets, for example, a spreadsheet with billions of rows. However, such huge structured datasets are common in large enterprises, creating significant opportunities for models capable of handling such scale.
4
Country: USA | Funding: $250M
LMArena, a startup originally launched as a research project at the Berkeley University, tests and ranks the performance of AI models. The company evaluates various models across a range of tasks, including text processing, code generation, computer vision, text-to-image conversion and other tasks. Models tested include various versions of OpenAI GPT, Google Gemini, Anthropic Claude and Grok, as well as models focused on specialized areas such as image generation, text-to-image conversion and logical reasoning. The company has also created a commercial service, AI Evaluations, through which businesses can hire the company to conduct model evaluations.
LMArena, a startup originally launched as a research project at the Berkeley University, tests and ranks the performance of AI models. The company evaluates various models across a range of tasks, including text processing, code generation, computer vision, text-to-image conversion and other tasks. Models tested include various versions of OpenAI GPT, Google Gemini, Anthropic Claude and Grok, as well as models focused on specialized areas such as image generation, text-to-image conversion and logical reasoning. The company has also created a commercial service, AI Evaluations, through which businesses can hire the company to conduct model evaluations.
5
Country: UK
DeepMind was acquired by Google as a leading ML startup and now acts as its mostly independent AI division. Its initial goal was to create strong artificial intelligence, which the developers hoped to achieve through the ability to play games (Atari, Go, chess, Dota) and control physical robots. DeepMind gradually took over all of Google's AI projects, including the LLM model and the Gemini chatbot. DeepMind was one of the first to develop multimodal intelligence, including language, code, images, video and 3D world generation. Furthermore, the startup continues projects of creating specialized machine learning systems for various industries, including medicine (drug development) and energy (energy optimization for Google's data centers).
DeepMind was acquired by Google as a leading ML startup and now acts as its mostly independent AI division. Its initial goal was to create strong artificial intelligence, which the developers hoped to achieve through the ability to play games (Atari, Go, chess, Dota) and control physical robots. DeepMind gradually took over all of Google's AI projects, including the LLM model and the Gemini chatbot. DeepMind was one of the first to develop multimodal intelligence, including language, code, images, video and 3D world generation. Furthermore, the startup continues projects of creating specialized machine learning systems for various industries, including medicine (drug development) and energy (energy optimization for Google's data centers).
6
Country: China | Funding: $2.9B
SenseTime is a leading Chinese company developing AI applications for various industries. It provides a cloud for creating AI systems – SenseCore AI, develops medical image analysis system, generative AI for business - SenseChat, image generation service SenseMirage, digital avatar generator SenseAvatar, intelligent programming assistant Code Raccoon, intelligent office assistant Office Raccoon, self-driving car autopilot, augmented reality systems and facial recognition technology. SenseTime Research is one of the most active authors of papers in the field of ML and AGI (that the company defines as fusion of multiple specialized AI services). The company has its own data center infrastructure and collaborates with dozens of leading universities and research institutes worldwide.
SenseTime is a leading Chinese company developing AI applications for various industries. It provides a cloud for creating AI systems – SenseCore AI, develops medical image analysis system, generative AI for business - SenseChat, image generation service SenseMirage, digital avatar generator SenseAvatar, intelligent programming assistant Code Raccoon, intelligent office assistant Office Raccoon, self-driving car autopilot, augmented reality systems and facial recognition technology. SenseTime Research is one of the most active authors of papers in the field of ML and AGI (that the company defines as fusion of multiple specialized AI services). The company has its own data center infrastructure and collaborates with dozens of leading universities and research institutes worldwide.
7
Country: USA | Funding: $1.5B
Inflection AI is an artificial intelligence startup that develops personal AI chatbots.
Inflection AI is an artificial intelligence startup that develops personal AI chatbots.
8
Country: China | Funding: $1.4B
Megvii develops Face++ Cognitive Services - a platform offering computer vision technologies that enable your applications to read and understand the world better. Face++ allows you to easily add leading, deep learning-based image analysis recognition technologies into your applications, with simple and powerful APIs and SDKs.
Megvii develops Face++ Cognitive Services - a platform offering computer vision technologies that enable your applications to read and understand the world better. Face++ allows you to easily add leading, deep learning-based image analysis recognition technologies into your applications, with simple and powerful APIs and SDKs.
9
Country: USA | Funding: $1.1B
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
See also:
Educative AI coloring pages for kids
Educative AI coloring pages for kids
10
Country: USA | Funding: $970.6M
Complete next-generation endpoint security: EDR, NGAV, anti-ransomware, fileless malware protection, and managed services powered by a proprietary AI hunting engine. Cybereason uses machine learning to increase the number of endpoints a single analyst can manage across a network of distributed resources
Complete next-generation endpoint security: EDR, NGAV, anti-ransomware, fileless malware protection, and managed services powered by a proprietary AI hunting engine. Cybereason uses machine learning to increase the number of endpoints a single analyst can manage across a network of distributed resources
11
Country: Israel | Funding: $583M
Gong.io has built a tool that uses natural language processing and machine learning to help train and suggest information to sales people and other customer service reps
Gong.io has built a tool that uses natural language processing and machine learning to help train and suggest information to sales people and other customer service reps
12
Country: USA | Funding: $533.5M
Together provides a cloud platform for developing AI applications, accelerating training, fine-tuning and inference on performance-optimized GPU clusters. The cloud uses proprietary optimization technologies at the inference and training stages (ATLAS speculator system and Together Inference Engine) to improve performance and reduce overall costs and allows inference to be run with an API call. It contains a library of over 200 open-source models for chat, images, video, code and more, allowing migration from proprietary models to OpenAI-compatible APIs. The system allows to fine-tune open-source models and train your own models from the ground up, leveraging research breakthroughs such as Together Kernel Collection (TKC) for reliable and fast training.
Together provides a cloud platform for developing AI applications, accelerating training, fine-tuning and inference on performance-optimized GPU clusters. The cloud uses proprietary optimization technologies at the inference and training stages (ATLAS speculator system and Together Inference Engine) to improve performance and reduce overall costs and allows inference to be run with an API call. It contains a library of over 200 open-source models for chat, images, video, code and more, allowing migration from proprietary models to OpenAI-compatible APIs. The system allows to fine-tune open-source models and train your own models from the ground up, leveraging research breakthroughs such as Together Kernel Collection (TKC) for reliable and fast training.
13
Country: Portugal | Funding: $352.5M
Feedzai is the market leader in fighting fraud and financial crime with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence.
Feedzai is the market leader in fighting fraud and financial crime with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence.
14
Country: USA | Funding: $293.2M
Liquid AI is a developer of AI applications that help improve human experience.
Liquid AI is a developer of AI applications that help improve human experience.
15
Country: China | Funding: $264.9M
Mobvoi is an AI company that developed Chinese voice recognition, natural language processing, and vertical search technology in-house.
Mobvoi is an AI company that developed Chinese voice recognition, natural language processing, and vertical search technology in-house.
16
Country: USA | Funding: $250M
Weights & Biases is on a mission to build the best software tools for machine learning.
Weights & Biases is on a mission to build the best software tools for machine learning.
17
Country: USA | Funding: $132M
OctoML develops Apache TVM machine learning compiler stack project that allows to use machine learning to optimize machine learning models so they can more efficiently run on different types of hardware.
OctoML develops Apache TVM machine learning compiler stack project that allows to use machine learning to optimize machine learning models so they can more efficiently run on different types of hardware.
18
Country: Israel | Funding: $125.1M
Explorium offers a new breed of data science platform, fueled by Automated Data and Feature Discovery. By dynamically integrating a company’s internal data with thousands of external sources, the Explorium platform is able to extract the most relevant features and power superior machine learning models.
Explorium offers a new breed of data science platform, fueled by Automated Data and Feature Discovery. By dynamically integrating a company’s internal data with thousands of external sources, the Explorium platform is able to extract the most relevant features and power superior machine learning models.
19
Country: USA | Funding: $84.8M
The training data platform trusted by the world's most ambitious organization to develop accurate machine learning models.
The training data platform trusted by the world's most ambitious organization to develop accurate machine learning models.
20
Country: USA | Funding: $69.9M
Comet.ml allows data scientists to automatically track their datasets, code changes, experimentation history, and production models.
Comet.ml allows data scientists to automatically track their datasets, code changes, experimentation history, and production models.
21
Country: USA | Funding: $62M
Streamlit is an app framework for quickly creating and deploying data science apps
Streamlit is an app framework for quickly creating and deploying data science apps
22
Country: USA | Funding: $57M
Landing AI applies AI and deep learning to help manufacturers solve challenging visual inspection problems and generate business value.
Landing AI applies AI and deep learning to help manufacturers solve challenging visual inspection problems and generate business value.
23
Country: UK | Funding: $52.8M
Faculty is an applied AI company that helps companies who have the scale, data and foresight to adopt AI into their organisations.
Faculty is an applied AI company that helps companies who have the scale, data and foresight to adopt AI into their organisations.
24
Country: Canada | Funding: $49.6M
Integrate.ai is building an AI powered platform for B2C enterprises that integrates with business processes to make customer interactions more natural and valuable.
Integrate.ai is building an AI powered platform for B2C enterprises that integrates with business processes to make customer interactions more natural and valuable.
25
Country: USA | Funding: $44M
Coactive AI is a machine learning platform that unlocks analytics and insights from unstructured image and video data.
Coactive AI is a machine learning platform that unlocks analytics and insights from unstructured image and video data.
26
Country: USA | Funding: $44M
Robust Intelligence eliminates AI Failures by detecting model vulnerabilities and automatically preventing bad outcomes.
Robust Intelligence eliminates AI Failures by detecting model vulnerabilities and automatically preventing bad outcomes.
27
Country: USA | Funding: $42.3M
Truera provides AI Quality management solutions that evaluate, optimize, and monitor machine learning models.
Truera provides AI Quality management solutions that evaluate, optimize, and monitor machine learning models.
28
Country: USA | Funding: $22.5M
Latent AI accelerates AI implementation and workflows for the enterprise cost-effectively anywhere on the edge continuum with Adaptive AI.
Latent AI accelerates AI implementation and workflows for the enterprise cost-effectively anywhere on the edge continuum with Adaptive AI.
29
Country: USA | Funding: $20.5M
Motivo enables IC design houses to unleash a wave of innovations and products by delivering a new paradigm, an AI-driven design approach that reduces by a factor of 10 the time and cost to design and ramp chips.
Motivo enables IC design houses to unleash a wave of innovations and products by delivering a new paradigm, an AI-driven design approach that reduces by a factor of 10 the time and cost to design and ramp chips.
30
Country: USA | Funding: $19.6M
Activeloop structures the unstructured data to seamlessly connect your computer vision data to machine learning models.
Activeloop structures the unstructured data to seamlessly connect your computer vision data to machine learning models.
31
Country: UK | Funding: $9M
Evolutionary AI Platform for the Deep Learning in Virtual Reality for any Computer Vision applications
Evolutionary AI Platform for the Deep Learning in Virtual Reality for any Computer Vision applications
32
Country: Canada | Funding: $8.6M
Deeplite provides intelligent AI optimization software to make Deep Neural Networks faster, smaller and energy--efficient.
Deeplite provides intelligent AI optimization software to make Deep Neural Networks faster, smaller and energy--efficient.
33
Country: Australia | Funding: $7.8M
Strong Compute is building the future of Cloud Computing, priced by performance not consumption. Our software and hardware optimizations speed up neural network development 10x-1000x, file transfer 1000x, instance start time 10x. We're starting with AI and are aimed at the $500B cloud market.
Strong Compute is building the future of Cloud Computing, priced by performance not consumption. Our software and hardware optimizations speed up neural network development 10x-1000x, file transfer 1000x, instance start time 10x. We're starting with AI and are aimed at the $500B cloud market.
34
Country: Taiwan | Funding: $7M
eYs3D offers silicon based solutions for A.I./M.L. Vision. symbiosis of Cloud-Edge & End-Point, Silicon & Microsystems.
eYs3D offers silicon based solutions for A.I./M.L. Vision. symbiosis of Cloud-Edge & End-Point, Silicon & Microsystems.
35
Country: Germany | Funding: $6M
Explosion combined an open source machine learning library with a set of commercial developer tools
Explosion combined an open source machine learning library with a set of commercial developer tools
36
Country: USA | Funding: $1.64M
CatalyzeX develops productivity tools for machine learning R&D
CatalyzeX develops productivity tools for machine learning R&D
37
Country: USA | Funding: $1.3M
Datrics democratizes the creation of self-service analytics and machine learning solutions by providing an intuitive drag-n-drop interface.
Datrics democratizes the creation of self-service analytics and machine learning solutions by providing an intuitive drag-n-drop interface.
38
Country: Spain | Funding: $250K
livee automates the sales process for interior landscaping companies. using machine learning & computer vision, we reduce landscaping proposal timeframes from several days to 10 minutes.
livee automates the sales process for interior landscaping companies. using machine learning & computer vision, we reduce landscaping proposal timeframes from several days to 10 minutes.
39
Country: Pakistan | Funding: $100K
RevolveAI builds innovative Machine Learning and Artificial Intelligence platform for businesses, brands and research institutes with its ever-growing team of Ph.D. Researchers, Machine Learning Experts and Computer Scientists.
RevolveAI builds innovative Machine Learning and Artificial Intelligence platform for businesses, brands and research institutes with its ever-growing team of Ph.D. Researchers, Machine Learning Experts and Computer Scientists.
40
Country: Turkey
Bomensoft Computer Technologies, which is specialized in Artificial Intelligence Technologies and established as an R&D company, took its place in Konya Technology Development Zone to conduct studies, researches, designs and approved R & D Projects on subjects such as internet of things, deep learning, machine learning.
Bomensoft Computer Technologies, which is specialized in Artificial Intelligence Technologies and established as an R&D company, took its place in Konya Technology Development Zone to conduct studies, researches, designs and approved R & D Projects on subjects such as internet of things, deep learning, machine learning.
41
Country: USA
AppTek combines cutting-edge artificial intelligence research with meaningful and transformative real-world applications. Our team consists of world-leading scientists with an extensive list of patents, innovations and academic publications contributing to the advancement of neural network and machine learning science and technology. Based on our scientific research, our engineering team helps convert these advancements into commercially viable real-world applications that improve the daily life in areas including accessibility, commerce, trade, and communication across languages.
AppTek combines cutting-edge artificial intelligence research with meaningful and transformative real-world applications. Our team consists of world-leading scientists with an extensive list of patents, innovations and academic publications contributing to the advancement of neural network and machine learning science and technology. Based on our scientific research, our engineering team helps convert these advancements into commercially viable real-world applications that improve the daily life in areas including accessibility, commerce, trade, and communication across languages.
42
Country: Israel
Q.ai develops communication technology focused on improving how people exchange information across digital environments. Acquired by Apple
Q.ai develops communication technology focused on improving how people exchange information across digital environments. Acquired by Apple
43
Country: Pakistan
Folio3 machine learning company has a team of dedicated Data Scientists and Consultants that have delivered end-to-end projects related to machine learning, natural language processing, computer vision and predictive analysis.
Folio3 machine learning company has a team of dedicated Data Scientists and Consultants that have delivered end-to-end projects related to machine learning, natural language processing, computer vision and predictive analysis.
