1
Country: USA | Funding: $25.8B
Databricks is developing cloud-based platform Databricks Data Intelligence for working with Big Data and machine learning. It brings together everything needed for the full data cycle: storage, processing, analysis, model creation, training and deployment. It includes MLflow - an open-source system for managing machine learning models, experiment tracking and automated deployment. The platform provides interactive notebooks (like Jupyter) for writing code in Python, SQL, R and Scala and running it on clusters. Databricks allows to develop your own models, AI agents and generative AI applications based on company's own data.
Databricks is developing cloud-based platform Databricks Data Intelligence for working with Big Data and machine learning. It brings together everything needed for the full data cycle: storage, processing, analysis, model creation, training and deployment. It includes MLflow - an open-source system for managing machine learning models, experiment tracking and automated deployment. The platform provides interactive notebooks (like Jupyter) for writing code in Python, SQL, R and Scala and running it on clusters. Databricks allows to develop your own models, AI agents and generative AI applications based on company's own data.
2
Country: USA | Funding: $3.2B
Lambda is building a network of data centers focused on AI workloads. The company uses a proprietary design for rapidly deploying these high-density, high-cooling AI factories to meet modern AI requirements and maximize the performance per watt. Lambda's AI factories are modular: new GPUs, interconnects and cooling slots are integrated as they are delivered. Companies can lease capacity in these AI factories for model training and inference. Lambda also provides its own software for orchestrating AI workloads and a stack of software packages widely used in machine and deep learning. Each package is tested for compatibility with all Lambda's systems.
Lambda is building a network of data centers focused on AI workloads. The company uses a proprietary design for rapidly deploying these high-density, high-cooling AI factories to meet modern AI requirements and maximize the performance per watt. Lambda's AI factories are modular: new GPUs, interconnects and cooling slots are integrated as they are delivered. Companies can lease capacity in these AI factories for model training and inference. Lambda also provides its own software for orchestrating AI workloads and a stack of software packages widely used in machine and deep learning. Each package is tested for compatibility with all Lambda's systems.
3
Country: USA | Funding: $2M
Empromptu is developing a platform for creating enterprise-ready AI applications. Users can create applications in a vibe coding mode, communicating their desired outcome to a chatbot. But unlike traditional vibe coding (which is more suited for quick experiments), Empromptu delivers a result that is (as stated) 98% production-ready (tested, SOC 2 compliant, documented and can be integrated into existing IT infrastructure via built-in LLMOps tools). Under the hood, the service automatically creates a set of AI Agents that solve project problems, following best practices for creating enterprise applications. The company targets enterprises that need to create AI applications in regulated industries, such as the hospitality.
Empromptu is developing a platform for creating enterprise-ready AI applications. Users can create applications in a vibe coding mode, communicating their desired outcome to a chatbot. But unlike traditional vibe coding (which is more suited for quick experiments), Empromptu delivers a result that is (as stated) 98% production-ready (tested, SOC 2 compliant, documented and can be integrated into existing IT infrastructure via built-in LLMOps tools). Under the hood, the service automatically creates a set of AI Agents that solve project problems, following best practices for creating enterprise applications. The company targets enterprises that need to create AI applications in regulated industries, such as the hospitality.
4
Country: Netherlands | Funding: $1B
Nebius is building vertically integrated AI infrastructure for training and inferencing AI models with large-scale GPU clusters deployed across Europe and the US. It's full-stack cloud platform simplifies model deployment, provides MLOps tools and advanced AI studio with a large set of open-source LLM models, tools for data preparation and model quality assurance. The company itself provides various AI model creation services: data preparation, annotations, model training, fine-tuning, inference. The company also develops autonomous driving technology for self-driving cars and delivery robots.
Nebius is building vertically integrated AI infrastructure for training and inferencing AI models with large-scale GPU clusters deployed across Europe and the US. It's full-stack cloud platform simplifies model deployment, provides MLOps tools and advanced AI studio with a large set of open-source LLM models, tools for data preparation and model quality assurance. The company itself provides various AI model creation services: data preparation, annotations, model training, fine-tuning, inference. The company also develops autonomous driving technology for self-driving cars and delivery robots.
5
Country: USA | Funding: $5.8M
Luminal develops a compiler for optimizing machine learning models and provides cloud platform for running optimized models. Companies upload their Huggingface models and their weights to the Luminal cloud and receive a serverless endpoint (i.e., you simply send a request for example, an image, text, or audio to a special URL and receive the result). Luminal compiles models into GPU code with zero overhead. Optimization methods allow to squeeze more computing power out of existing infrastructure. The compiler, which sits between the written code and the GPU hardware, effectively competes with Nvidia's proprietary CUDA stack.
Luminal develops a compiler for optimizing machine learning models and provides cloud platform for running optimized models. Companies upload their Huggingface models and their weights to the Luminal cloud and receive a serverless endpoint (i.e., you simply send a request for example, an image, text, or audio to a special URL and receive the result). Luminal compiles models into GPU code with zero overhead. Optimization methods allow to squeeze more computing power out of existing infrastructure. The compiler, which sits between the written code and the GPU hardware, effectively competes with Nvidia's proprietary CUDA stack.
6
Country: USA | Funding: $12.1B
CoreWeave provides GPU-based general-purpose cloud computing platform optimal for generative AI technologies, like text-generating AI models.
CoreWeave provides GPU-based general-purpose cloud computing platform optimal for generative AI technologies, like text-generating AI models.
7
Country: USA | Funding: $1.8B
Applied Digital designs, develops and operates next-generation datacenters across North America to provide digital infrastructure solutions.
Applied Digital designs, develops and operates next-generation datacenters across North America to provide digital infrastructure solutions.
8
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.
9
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.
10
Country: USA | Funding: $381M
VAST Data offers a unified data platform that integrates storage, database, and compute capabilities into a single software platform.
VAST Data offers a unified data platform that integrates storage, database, and compute capabilities into a single software platform.
11
Country: USA | Funding: $380M
Modular is the next-generation AI developer platform unifying the development and deployment of AI for the world.
Modular is the next-generation AI developer platform unifying the development and deployment of AI for the world.
12
Country: France | Funding: $334.2M
A powerful hosted search engine API, Algolia provides product teams with the resources & tools they need to create fast, relevant search.
A powerful hosted search engine API, Algolia provides product teams with the resources & tools they need to create fast, relevant search.
13
Country: USA | Funding: $285M
Baseten develops a stack of inference optimization technologies and provides cloud platform for high-performance inference. The company's customers can deploy open-source, custom and optimized AI models on infrastructure specifically designed for high-performance inference at near-real-world scale. Baseten provides pre-optimized model APIs that enable instant testing of new workloads, product prototyping or evaluation of the latest AI models, performance studies using custom kernels, latest decoding methods and advanced caching built into the Baseten inference stack, scaling workloads across any region and any cloud.
Baseten develops a stack of inference optimization technologies and provides cloud platform for high-performance inference. The company's customers can deploy open-source, custom and optimized AI models on infrastructure specifically designed for high-performance inference at near-real-world scale. Baseten provides pre-optimized model APIs that enable instant testing of new workloads, product prototyping or evaluation of the latest AI models, performance studies using custom kernels, latest decoding methods and advanced caching built into the Baseten inference stack, scaling workloads across any region and any cloud.
14
Country: USA | Funding: $259M
Anyscale is a unified compute platform that makes it easy to develop, deploy, and manage scalable AI and Python applications using Ray.
Anyscale is a unified compute platform that makes it easy to develop, deploy, and manage scalable AI and Python applications using Ray.
15
Country: USA | Funding: $251.1M
H2O.ai is an open source machine learning platform that makes it easy to build smart applications.
H2O.ai is an open source machine learning platform that makes it easy to build smart applications.
16
Country: USA | Funding: $230M
Humane is building an integrated device and cloud services platform for AI
Humane is building an integrated device and cloud services platform for AI
17
Country: USA | Funding: $160M
Tecton.ai is helping organizations make it really easy to build production-level machine learning systems, and put them in production and operate them correctly.
Tecton.ai is helping organizations make it really easy to build production-level machine learning systems, and put them in production and operate them correctly.
18
Country: USA | Funding: $138M
Pinecone is a database for machine learning applications. Build vector-based personalization, ranking, and search systems.
Pinecone is a database for machine learning applications. Build vector-based personalization, ranking, and search systems.
19
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.
20
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.
21
Country: UK | Funding: $116M
Poly AI develops a machine learning platform for conversational artificial intelligence.
Poly AI develops a machine learning platform for conversational artificial intelligence.
22
Country: Israel | Funding: $116M
Pecan.ai wants to help business analysts build machine learning models in an automated fashion
Pecan.ai wants to help business analysts build machine learning models in an automated fashion
23
Country: USA | Funding: $108.5M
Lightning AI enables training state-of-the-art AI models on hundreds of cloud GPUs and TPUs from their laptops. Focus on ML, not infrastructure.
Lightning AI enables training state-of-the-art AI models on hundreds of cloud GPUs and TPUs from their laptops. Focus on ML, not infrastructure.
24
Country: USA | Funding: $90.3M
RealityEngines.AI is an AI research company that is focused on hard problems that enterprises have. Today, most North American organizations haven’t managed to deploy AI in production yet. The key reasons behind this include incomplete and noisy datasets, the exorbitant cost of finding, hiring and retaining esoteric talent required to put an AI/ML system in production, and the black box nature of neural-net based AI/ML models that sometimes result in predictions that can’t be explained easily and may introduce bias.
RealityEngines.AI is an AI research company that is focused on hard problems that enterprises have. Today, most North American organizations haven’t managed to deploy AI in production yet. The key reasons behind this include incomplete and noisy datasets, the exorbitant cost of finding, hiring and retaining esoteric talent required to put an AI/ML system in production, and the black box nature of neural-net based AI/ML models that sometimes result in predictions that can’t be explained easily and may introduce bias.
25
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.
26
Country: Israel | Funding: $72M
The Iguazio Data Science Platform enables you to develop, deploy and manage AI applications at scale and in real-time.
The Iguazio Data Science Platform enables you to develop, deploy and manage AI applications at scale and in real-time.
27
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.
28
Country: USA | Funding: $70.2M
Rasa builds the standard infrastructure layer for conversational AI. It supplies the standard infrastructure for conversational AI, providing the tools required to build resilient contextual assistants.
Rasa builds the standard infrastructure layer for conversational AI. It supplies the standard infrastructure for conversational AI, providing the tools required to build resilient contextual assistants.
29
Country: USA | Funding: $69.8M
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.
30
Country: Canada | Funding: $67.1M
Wysdom develops full-stack virtual assistant platform. Connect to customers, answer questions, complete purchases, and transact any time with a trusted cognitive enterprise care solution over social, web chat, and IVR.
Wysdom develops full-stack virtual assistant platform. Connect to customers, answer questions, complete purchases, and transact any time with a trusted cognitive enterprise care solution over social, web chat, and IVR.
31
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
33
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.
34
Country: India | Funding: $49.9M
Neysa is an AI acceleration platform that develops AI native applications for businesses.
Neysa is an AI acceleration platform that develops AI native applications for businesses.
35
Country: Ukraine | Funding: $50M
Neuromation is a leading Enterprise AI solutions and platform provider. The company's Neuro platform is a best-in-class machine learning development tool enabling rapid model iteration with an unparalleled developer experience.
Neuromation is a leading Enterprise AI solutions and platform provider. The company's Neuro platform is a best-in-class machine learning development tool enabling rapid model iteration with an unparalleled developer experience.
36
Country: Germany | Funding: $45.6M
Next-level semantic search for enterprises fueled by latest NLP and open-source
Next-level semantic search for enterprises fueled by latest NLP and open-source
37
Country: USA | Funding: $43.2M
Calypso AI provides a platform that allows organizations to accelerate their use of language models. Its solution protects sensitive information from unauthorized access via public large language models, detects and prevents malicious attacks deployed through generative AI tools and verifies LLM output to enhance decision-making.
Calypso AI provides a platform that allows organizations to accelerate their use of language models. Its solution protects sensitive information from unauthorized access via public large language models, detects and prevents malicious attacks deployed through generative AI tools and verifies LLM output to enhance decision-making.
38
Country: India | Funding: ₹3.4B
Sarvam AI is building large language models with support for Indian languages and creating a platform that will allow businesses to build with LLMs
Sarvam AI is building large language models with support for Indian languages and creating a platform that will allow businesses to build with LLMs
39
Country: Singapore | Funding: $40.7M
Tookitaki provides a ML platform to build and optimise work flows for Financial Institutions primarily in the AML and Reconciliation Space.
Tookitaki provides a ML platform to build and optimise work flows for Financial Institutions primarily in the AML and Reconciliation Space.
40
Country: Canada | Funding: $39.8M
Botpress wants to make it easier for developers to build conversational-based apps, meaning humans interact with the app by speaking instead of typing, clicking or tapping.
Botpress wants to make it easier for developers to build conversational-based apps, meaning humans interact with the app by speaking instead of typing, clicking or tapping.
41
Country: South Korea | Funding: $38.4M
MakinaRocks provides machine learning solutions and an MLOps platform to accelerate and scale the industrial sector’s transition to AI.
MakinaRocks provides machine learning solutions and an MLOps platform to accelerate and scale the industrial sector’s transition to AI.
42
Country: USA | Funding: $38.1M
Algorithmia is an open marketplace for algorithms, enabling developers to create tomorrows smart applications today.
Algorithmia is an open marketplace for algorithms, enabling developers to create tomorrows smart applications today.
43
Country: USA | Funding: $35M
Paperspace is a cloud platform for next-generation applications and cloud ML/AI pipelines.
Paperspace is a cloud platform for next-generation applications and cloud ML/AI pipelines.
44
Country: USA | Funding: $34M
Diveplane develops an AI-based platform that is faster than current off-the-shelf solutions and can train on significantly less data.
Diveplane develops an AI-based platform that is faster than current off-the-shelf solutions and can train on significantly less data.
45
Country: UK | Funding: $33.7M
Seldon enables ML engineering teams to accelerate from R&D to production with proven 84% efficiency gains. Their open-source projects are considered best-of-breed in model serving, explanations and monitoring
Seldon enables ML engineering teams to accelerate from R&D to production with proven 84% efficiency gains. Their open-source projects are considered best-of-breed in model serving, explanations and monitoring
46
Country: Israel | Funding: $30M
Aporia empowers data scientists to take control of their machine learning models’ performance in production. With a robust, friendly monitor builder, the Aporia platform allows data scientists to quickly create, update and maintain ML monitors that track and detect various types of performance issues and data drift.
Aporia empowers data scientists to take control of their machine learning models’ performance in production. With a robust, friendly monitor builder, the Aporia platform allows data scientists to quickly create, update and maintain ML monitors that track and detect various types of performance issues and data drift.
47
Country: France | Funding: €28.5M
Unlocking the future of Machine Intelligence by rearchitecting the compute infrastructure
Unlocking the future of Machine Intelligence by rearchitecting the compute infrastructure
48
Country: USA | Funding: $29.5M
Arcee.ai develops context-adapted LLMs through their domain-adapted language model system (DALM).
Arcee.ai develops context-adapted LLMs through their domain-adapted language model system (DALM).
49
Country: USA | Funding: $28.5M
Predibase develops a no-code ML platform that lets both data scientists and non-experts develop flexible, state-of-the-art ML with best-of-breed ML infrastructure.
Predibase develops a no-code ML platform that lets both data scientists and non-experts develop flexible, state-of-the-art ML with best-of-breed ML infrastructure.
50
Country: USA | Funding: $29.1M
Union AI helps businesses build and orchestrate their AI and data workflows with the help of a cloud-native automation platform
Union AI helps businesses build and orchestrate their AI and data workflows with the help of a cloud-native automation platform
