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Top 10 Startups providing AI platforms in USA
Oct 24, 2024 | By Siddhant Patel | 29 |
1
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.
2
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.
3
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.
4
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.
6
Funding: $228.5M
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.
7
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.
8
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.
9
Funding: $135.3M
Snorkel AI is focused on making AI practical through Snorkel Flow: the data-first platform for enterprise AI.
Snorkel AI is focused on making AI practical through Snorkel Flow: the data-first platform for enterprise AI.
10
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.
11
Funding: $130M
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
Funding: $108M
Petuum is a software infrastructure and ecosystem provider that enables AI for enterprise. Petuum’s operating system gives users a single platform to build any Machine Learning or Deep Learning application using large amounts of data, and deploy it at scale on any hardware – such as workstations, datacenters, the internet of things, and edge computing.
Petuum is a software infrastructure and ecosystem provider that enables AI for enterprise. Petuum’s operating system gives users a single platform to build any Machine Learning or Deep Learning application using large amounts of data, and deploy it at scale on any hardware – such as workstations, datacenters, the internet of things, and edge computing.
13
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.
14
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.
15
Funding: $80.6M
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.
16
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.
17
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.
18
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.
19
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
