Top 20 Startups providing AI platforms in USA
Nov 26, 2025
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29
1
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.
2
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.
3
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.
4
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.
5
Funding: $533.5M
Together is providing leading open-source generative AI models and a cloud platform that makes AI accessible to anyone, anywhere.
Together is providing leading open-source generative AI models and a cloud platform that makes AI accessible to anyone, anywhere.
6
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.
7
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.
9
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.
10
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.
11
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.
13
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.
14
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.
15
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.
16
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.
17
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.
18
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.
19
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.
20
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.
