Top 46 Startups providing AI platforms in USA
Mar 12, 2026
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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: $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.
4
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.
5
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.
6
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.
7
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.
8
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.
9
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.
10
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.
11
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.
12
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.
14
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.
15
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.
16
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.
17
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.
18
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.
19
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
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
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.
22
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.
23
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
25
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.
26
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.
27
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.
28
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.
29
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).
30
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
31
Funding: $29.1M
Union.ai provides commercial version of the open source AI orchestration platform Flyte
Union.ai provides commercial version of the open source AI orchestration platform Flyte
32
Funding: $25.4M
Iterative is an open-source startup that is building an enterprise AI platform to help companies operationalize their models
Iterative is an open-source startup that is building an enterprise AI platform to help companies operationalize their models
33
Funding: $24.4M
Mem0 is a SaaS company that offers a universal, self‑improving memory layer for LLM applications for personalized AI experiences.
Mem0 is a SaaS company that offers a universal, self‑improving memory layer for LLM applications for personalized AI experiences.
34
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.
35
Funding: $21.3M
TrueFoundry provides an enterprise-grade AI Gateway that encompasses an LLM Gateway, MCP Gateway, and Agent Gateway. This enables enterprises to connect, observe, and govern agentic AI applications across providers from a single control plane.
TrueFoundry provides an enterprise-grade AI Gateway that encompasses an LLM Gateway, MCP Gateway, and Agent Gateway. This enables enterprises to connect, observe, and govern agentic AI applications across providers from a single control plane.
36
Funding: $19.8M
AI Squared helps solve the last-mile problem, assisting companies in adopting AI by using a low-code platform to integrate it into existing applications.
AI Squared helps solve the last-mile problem, assisting companies in adopting AI by using a low-code platform to integrate it into existing applications.
37
Funding: $10M
LastMile AI is an AI developer platform for engineering teams. It allows to prototype and productionize generative AI apps. Built for engineers, not just ML practitioners.
LastMile AI is an AI developer platform for engineering teams. It allows to prototype and productionize generative AI apps. Built for engineers, not just ML practitioners.
38
Funding: $10M
Satisfi Labs creates end-to-end artificial intelligence solutions for enterprise brands who want an easier way to communicate the right information, at the right place, in real-time to their customers.
Satisfi Labs creates end-to-end artificial intelligence solutions for enterprise brands who want an easier way to communicate the right information, at the right place, in real-time to their customers.
39
Funding: $6M
ThirdAI is a cutting-edge artificial intelligence startup focused on creating scalable and long-term AI solutions.
ThirdAI is a cutting-edge artificial intelligence startup focused on creating scalable and long-term AI solutions.
40
Funding: $5.2M
Sighthound develops smart surveillance software powered by Computer Vision, provides computer vision cloud API for developers and Vision SDK, accelerating third-party products with proprietary deeply-learned computer vision technology
Sighthound develops smart surveillance software powered by Computer Vision, provides computer vision cloud API for developers and Vision SDK, accelerating third-party products with proprietary deeply-learned computer vision technology
41
Funding: $4.5M
Tensormesh is a company that specialises in optimising inference efficiency for large language models (LLMs) and agentic AI systems.
Tensormesh is a company that specialises in optimising inference efficiency for large language models (LLMs) and agentic AI systems.
42
Funding: $3.7M
Reply.ai is an enterprise platform does more than provide an enterprise solution to chatbot creation and management. It uses AI to help bots learn from conversations over time while also providing them with the “smarts” to let customer service know a more personal, “human” touch is needed. Acquired by Kustomer
Reply.ai is an enterprise platform does more than provide an enterprise solution to chatbot creation and management. It uses AI to help bots learn from conversations over time while also providing them with the “smarts” to let customer service know a more personal, “human” touch is needed. Acquired by Kustomer
43
Funding: $1.5M
Diffgram software is foundational data orchestration, storage, and event driven data updates for your AI systems. Diffgram is complimentary to annotation providers and 3rd party annotation interfaces. Image and Video interfaces are included. The biggest difference in Diffgram from other providers is the degree of abstraction around Data.
Diffgram software is foundational data orchestration, storage, and event driven data updates for your AI systems. Diffgram is complimentary to annotation providers and 3rd party annotation interfaces. Image and Video interfaces are included. The biggest difference in Diffgram from other providers is the degree of abstraction around Data.
44
Censius is an AI Observability Platform that enables enterprises of all sizes to deploy their machine learning models into production with confidence. The company's flagship AI observability platform helps data science initiatives become more accountable and explainable. This all-in-one ML monitoring system allows you to proactively monitor end-to-end ML pipelines for drift, skew, data integrity, and data quality concerns.
45
OneNine AI develops innovative tools allowing everyone to learn and leverage AI. Our goal is to bring AI to everyone. You don't need to be data scientist to leverage power of AI and Decision Science, our tools takes care of number crunching to provide insights from your data.
46
Dynamiq helps companies to implement Generative AI solutions in a matter of days.
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