1
Country: USA | Funding: $33.7B
Anthropic was founded by a group of former OpenAI employees who wanted to preserve the goal of AI safety. Anthropic is one of technology leaders in the AI market. Its core product is a family of LLM models under the Claude brand, which are used in the form of a chatbot and API for business. The strength of this model is quality code generation. The company promotes an approach called "Constitutional AI" according to which models are trained according to a set of principles, values, and rules (like Asimov's Laws of Robotics). In addition to selling commercial products, the company is actively researching the interpretability of AI models and AGI.
Anthropic was founded by a group of former OpenAI employees who wanted to preserve the goal of AI safety. Anthropic is one of technology leaders in the AI market. Its core product is a family of LLM models under the Claude brand, which are used in the form of a chatbot and API for business. The strength of this model is quality code generation. The company promotes an approach called "Constitutional AI" according to which models are trained according to a set of principles, values, and rules (like Asimov's Laws of Robotics). In addition to selling commercial products, the company is actively researching the interpretability of AI models and AGI.
2
Country: USA | Funding: $1.1B
Luma AI is an advanced generative platform for creating high-quality videos. The company's flagship Ray3 model is designed specifically for storytelling. The company claims it can think and reason visually, taking into account physical laws and scene coherence. Its Draft Mode enables rapid exploration of new ideas. Ray3 delivers incredible realism, image-to-video conversion, keyframing and editing controls. Content generation is available through a web interface and a mobile app. Companies can use the Luma API to access advanced image and video generation features with an easy-to-use endpoint. The company also enables the generation of 3D models from simple text or photographs. Luma AI conducts fundamental research into multimodal general-purpose intelligence (AGI).
Luma AI is an advanced generative platform for creating high-quality videos. The company's flagship Ray3 model is designed specifically for storytelling. The company claims it can think and reason visually, taking into account physical laws and scene coherence. Its Draft Mode enables rapid exploration of new ideas. Ray3 delivers incredible realism, image-to-video conversion, keyframing and editing controls. Content generation is available through a web interface and a mobile app. Companies can use the Luma API to access advanced image and video generation features with an easy-to-use endpoint. The company also enables the generation of 3D models from simple text or photographs. Luma AI conducts fundamental research into multimodal general-purpose intelligence (AGI).
3
Country: USA
Numenta is a startup by Jeff Hawkins, the author of renowned books on AI ("On Intelligence" and "A Thousand Brains: A New Theory of Intelligence") and his own theory of brain structure. Therefore, the startup's primary goal was initially to understand the neocortex (the primary cerebral cortex) and apply its principles to the creation of machine intelligence. The theory, called Hierarchical Temporal Memory (HTM) describes a learning and prediction model inspired by the cerebral cortex. The company has published open-source code of its framework (Thousand Brains Project) - a platform for sensory-motor learning. The company's main product, the Numenta Platform for Intelligent Computing (NuPIC), is also based on algorithms, data structures and architecture inspired by the brain.
Numenta is a startup by Jeff Hawkins, the author of renowned books on AI ("On Intelligence" and "A Thousand Brains: A New Theory of Intelligence") and his own theory of brain structure. Therefore, the startup's primary goal was initially to understand the neocortex (the primary cerebral cortex) and apply its principles to the creation of machine intelligence. The theory, called Hierarchical Temporal Memory (HTM) describes a learning and prediction model inspired by the cerebral cortex. The company has published open-source code of its framework (Thousand Brains Project) - a platform for sensory-motor learning. The company's main product, the Numenta Platform for Intelligent Computing (NuPIC), is also based on algorithms, data structures and architecture inspired by the brain.
4
Country: USA | Funding: $61.9B
OpenAI develops generative AI models: GPT for language, DALLE for images and Sora for video. 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 develops generative AI models: GPT for language, DALLE for images and Sora for video. 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.
5
Country: USA | Funding: $22.4B
xAI is Elon Musk's me-too startup, which couldn't resist the AI craze and invested heavily in the project. Initially, the company created the AI chatbot Grok for X/Twitter users, and later grew into a universal LLM provider for users and companies (via API). Grok's distinguishing feature is its more censorship-free worldview (which has occasionally led to controversy). Grok also initially focused on real-time context generation from online data (rather than pre-training). In addition to language, Grok can generate images. xAI also runs the world's largest supercomputer, Colossus and is engaged in AGI research (accoring to Elon Mask, xAI seeks to understand the true nature of the universe).
xAI is Elon Musk's me-too startup, which couldn't resist the AI craze and invested heavily in the project. Initially, the company created the AI chatbot Grok for X/Twitter users, and later grew into a universal LLM provider for users and companies (via API). Grok's distinguishing feature is its more censorship-free worldview (which has occasionally led to controversy). Grok also initially focused on real-time context generation from online data (rather than pre-training). In addition to language, Grok can generate images. xAI also runs the world's largest supercomputer, Colossus and is engaged in AGI research (accoring to Elon Mask, xAI seeks to understand the true nature of the universe).
6
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).
7
Country: USA | Funding: $3B
Safe Superintelligence is a startup by OpenAI co-founder (and CTO) Ilya Sutskever, which aims (as its name suggests) to create safe AGI. The startup doesn't declare any commercial goals, on the contrary, it claims that its single focus eliminates the distraction of management costs or product development cycles and its business model assumes that safety, reliability and progress are not dependent on short-term commercial requirements. Ilya plans to solve the problem of strong AI safety through revolutionary engineering and scientific breakthroughs. This means the startup likely wants to create strong AI and keep it in secret until it develops security measures for it.
Safe Superintelligence is a startup by OpenAI co-founder (and CTO) Ilya Sutskever, which aims (as its name suggests) to create safe AGI. The startup doesn't declare any commercial goals, on the contrary, it claims that its single focus eliminates the distraction of management costs or product development cycles and its business model assumes that safety, reliability and progress are not dependent on short-term commercial requirements. Ilya plans to solve the problem of strong AI safety through revolutionary engineering and scientific breakthroughs. This means the startup likely wants to create strong AI and keep it in secret until it develops security measures for it.
8
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.
9
Country: USA | Funding: $2B
Figure creates humanoid robots with artificial intelligence. Figure is designed for home use - it performs household tasks such as laundry, cleaning and washing dishes completely autonomously. It uses Helix - an AI engine that allows it to navigate the unpredictable, ever-changing home environment. Helix is a universal humanoid vision-language-action model that learns and improves over time, acquiring new skills. Helix controls the entire cycle: perception, movement and reasoning, both onboard and in real time (making it an AGI contender). This allows Figure 03 to independently think and complete tasks without following a script. Figure has an optimized design with high arm dexterity and a look suitable for everyday life.
Figure creates humanoid robots with artificial intelligence. Figure is designed for home use - it performs household tasks such as laundry, cleaning and washing dishes completely autonomously. It uses Helix - an AI engine that allows it to navigate the unpredictable, ever-changing home environment. Helix is a universal humanoid vision-language-action model that learns and improves over time, acquiring new skills. Helix controls the entire cycle: perception, movement and reasoning, both onboard and in real time (making it an AGI contender). This allows Figure 03 to independently think and complete tasks without following a script. Figure has an optimized design with high arm dexterity and a look suitable for everyday life.
10
Country: USA | Funding: $2B
Thinking Machines Lab is a startup of OpenAI co-founder Mira Muratti. It's focused on research and product development in the field of AGI and AI security. Its goal is to make AI systems more understandable and customizable. Furthermore, rather than focusing solely on creating fully autonomous AI systems, the company intends to create AI that collaborates with humans. TML considers multimodality as another important component in achieving the strong AI. Ultimately, the startup hopes to create a cutting-edge model that will unlock the most revolutionary applications and benefits, such as the possibility of new scientific discoveries. The startup's philosophy is knowledge sharing: it plans to regularly publish technical papers and code samples. However, at the same time, the startup wants to "maintain a high level of security to prevent unauthorized use of its models."
Thinking Machines Lab is a startup of OpenAI co-founder Mira Muratti. It's focused on research and product development in the field of AGI and AI security. Its goal is to make AI systems more understandable and customizable. Furthermore, rather than focusing solely on creating fully autonomous AI systems, the company intends to create AI that collaborates with humans. TML considers multimodality as another important component in achieving the strong AI. Ultimately, the startup hopes to create a cutting-edge model that will unlock the most revolutionary applications and benefits, such as the possibility of new scientific discoveries. The startup's philosophy is knowledge sharing: it plans to regularly publish technical papers and code samples. However, at the same time, the startup wants to "maintain a high level of security to prevent unauthorized use of its models."
11
Country: Germany | Funding: $642.8M
Aleph Alpha provides enterprise and public sector AI solutions based on own stack Pharia that supports a wide variety of open-source LLMS and includes PhariaAssistant (that enables UI chat, search, translation), PhariaStudio (development environment that allowss AI engineers to build, debug, and evaluate AI applications in collaboration with domain experts), PhariaOS (operating system that dynamically scales AI workloads across on-premise and cloud instances), PhariaCatch (that allows to create high-quality datasets to support AI system development while minimizing annotator bias). The company also aims to revolutionize the accessibility and usability of Artificial General Intelligence (AGI) in Europe. It intends to solve the the black-box nature of GenAI and develops methods for inspecting, understanding and validating its responses.
Aleph Alpha provides enterprise and public sector AI solutions based on own stack Pharia that supports a wide variety of open-source LLMS and includes PhariaAssistant (that enables UI chat, search, translation), PhariaStudio (development environment that allowss AI engineers to build, debug, and evaluate AI applications in collaboration with domain experts), PhariaOS (operating system that dynamically scales AI workloads across on-premise and cloud instances), PhariaCatch (that allows to create high-quality datasets to support AI system development while minimizing annotator bias). The company also aims to revolutionize the accessibility and usability of Artificial General Intelligence (AGI) in Europe. It intends to solve the the black-box nature of GenAI and develops methods for inspecting, understanding and validating its responses.
12
Country: USA | Funding: $626M
Poolside claims to be developing AGI for enterprise, but starting with software agents. Because (according to the founders) creating software requires understanding and creating a model of the world, as well as the ability to reason and plan. In other words, software development largely depends on human intelligence. Meanwhile, Poolside is developing code-generation model and agents for creating enterprise software. The main idea is to train the codeing model not only on code itself, but also on the enterprise's business data. Thus, the coding assistant provides suggestions or autocompletes code in the context of the given business (and not just in the context of programming practices). Poolside provides intelligence at every interface: through the terminal, API, agents and, of course, IDE. However, Poolside's philosophy is that software development should take place outside the editor. The company's clients are primarily Global 2000 companies and government agencies.
Poolside claims to be developing AGI for enterprise, but starting with software agents. Because (according to the founders) creating software requires understanding and creating a model of the world, as well as the ability to reason and plan. In other words, software development largely depends on human intelligence. Meanwhile, Poolside is developing code-generation model and agents for creating enterprise software. The main idea is to train the codeing model not only on code itself, but also on the enterprise's business data. Thus, the coding assistant provides suggestions or autocompletes code in the context of the given business (and not just in the context of programming practices). Poolside provides intelligence at every interface: through the terminal, API, agents and, of course, IDE. However, Poolside's philosophy is that software development should take place outside the editor. The company's clients are primarily Global 2000 companies and government agencies.
13
Country: Netherlands | Funding: $66M
SingularityNET is attempting to create Artificial General Intelligence (AGI) in format of the open, decentralized blockchain platform that hosts multiple AI services and algorithms. Developers can publish their services on the SingularityNET network, where they are available for anyone to use, and can charge for their services using the AGIX token. The company has also created an AI-DSL (domain-specific language), which will allow individual, highly specialized services to form collaborative workflows and perform more complex tasks than any single service could, as well as its own open-source AGI framework, OpenCog Hyperon.
SingularityNET is attempting to create Artificial General Intelligence (AGI) in format of the open, decentralized blockchain platform that hosts multiple AI services and algorithms. Developers can publish their services on the SingularityNET network, where they are available for anyone to use, and can charge for their services using the AGIX token. The company has also created an AI-DSL (domain-specific language), which will allow individual, highly specialized services to form collaborative workflows and perform more complex tasks than any single service could, as well as its own open-source AGI framework, OpenCog Hyperon.
14
Country: Czech Republic
GoodAI is building a general artificial intelligence software program that aims to automate cognitive processes in science, technology, and business, among other fields. The startup develops the Badger architecture and learning procedure where an agent, made of multiple experts, learns on two levels. The first level is to understand how a single agent is responding to input while the second level analyzes multiple generations of agents to identify optimal solutions. The main objective of this AI agent is to adapt quickly to any novel task.
GoodAI is building a general artificial intelligence software program that aims to automate cognitive processes in science, technology, and business, among other fields. The startup develops the Badger architecture and learning procedure where an agent, made of multiple experts, learns on two levels. The first level is to understand how a single agent is responding to input while the second level analyzes multiple generations of agents to identify optimal solutions. The main objective of this AI agent is to adapt quickly to any novel task.
15
Country: USA
Primoria AI is building emotionally intelligent, adaptive AGI systems designed to evolve alongside users. Unlike traditional LLM tools, Primoria focuses on human-machine synergy, emotional context, and self-improving intelligence — shaping the next evolution of artificial intelligence.
Primoria AI is building emotionally intelligent, adaptive AGI systems designed to evolve alongside users. Unlike traditional LLM tools, Primoria focuses on human-machine synergy, emotional context, and self-improving intelligence — shaping the next evolution of artificial intelligence.
16
Country: USA
This company is called AGI and claims to be "building useful AGI for everyday life." But in reality, it's creating an agent called AGI-0, which performs tasks on your computer and smartphone (for example, it can make restaurant reservations, book hotels, schedule meetings, etc.). Of course, it's not AGI, but rather an add-on to existing LLMs. However, it can run on any platform - use apps on Windows, Linux, Mac, Android, fulfill tasks in web browser. The company also offers a paid API for creating custom agents, which, in particular simplifies enables secure payment processing for e-commerce. The company does conduct some research in areas such as reinforcement learning, multi-agent systems and natural language understanding, but with the sole practical goal of improving the agent.
This company is called AGI and claims to be "building useful AGI for everyday life." But in reality, it's creating an agent called AGI-0, which performs tasks on your computer and smartphone (for example, it can make restaurant reservations, book hotels, schedule meetings, etc.). Of course, it's not AGI, but rather an add-on to existing LLMs. However, it can run on any platform - use apps on Windows, Linux, Mac, Android, fulfill tasks in web browser. The company also offers a paid API for creating custom agents, which, in particular simplifies enables secure payment processing for e-commerce. The company does conduct some research in areas such as reinforcement learning, multi-agent systems and natural language understanding, but with the sole practical goal of improving the agent.
