Machine Learning Platforms in United States
10 verified machine learning platforms companies headquartered in United States, drawn from the same independently maintained directory as the rest of the site.
Databricks
Databricks provides a unified data and AI platform that enables organizations to build, deploy, and manage AI applications. …
Deccan AI
Take your models to the next level with truly pristine data—at scale and with speed. We provide exceptional …
Google Cloud AI
Google Cloud AI provides comprehensive AI and machine learning services through Vertex AI, including pre-trained models, custom model …
IBM Watson
IBM Watson is IBM's enterprise AI platform providing machine learning, natural language processing, and AI-powered analytics solutions. Watson …
Microsoft Azure AI
Microsoft Azure AI provides enterprise AI-as-a-Service through Azure OpenAI Service, Azure Machine Learning, and Cognitive Services. Microsoft generates …
Prezent, Inc.
One intelligent platform with all the AI tools, best-practice content, learning assets and expert services to supercharge business …
Sprouts, Inc.
Unlock the power of LinkedIn as a trusted and influential platform. Discover how LinkedIn has evolved to a …
fastino.ai
Fastino powers enterprise AI developers with high-performance, task-optimized language models built to scale. Unlike generic LLMs, Fastino’s models …
reducto.ai
Reducto is an API that provides high quality data ingestion for large language models (LLMs). It works with …
refibuy.ai
Analysis, research, and practical guidance on how AI agents are reshaping product discovery, shopping, and commerce infrastructure.
More AI categories headquartered in United States
Machine Learning Platforms in other countries
Machine Learning Platforms in United States at a glance
Counts below come straight from the directory's own records. Fields a company hasn't disclosed are reported as unknown rather than estimated.
Choosing Machine Learning Platforms companies in United States
This page covers the 10 machine learning platforms companies in this directory that are headquartered in United States. That is 36% of the 28 machine learning platforms companies tracked across every country, which makes United States the largest of the 5 national clusters in this category. Headquarters location matters for buyers who need contracting in a local legal entity, data residency inside United States, or overlapping working hours with an in-country delivery team — so the list below is filtered on stated headquarters, not on sales presence or reseller coverage.
Company size varies widely across the United States cohort. Of the 7 companies here that publish a headcount range: 3 in the 51-200 band, 4 in the 1000+ band. The most common profile is 1000+ employees (4 companies), which is a useful signal when you are weighing a boutique machine learning platforms team that will give you senior attention against a larger firm that can absorb a multi-workstream programme. Headcount bands are self-reported and are left blank rather than estimated for the 3 companies that do not disclose one.
Several of these United States companies are not machine learning platforms pure-plays. Counting the other directory categories the same companies appear in: AI Platforms (9), Foundation Model Providers (2), Training Data (1). If you would rather consolidate work with one supplier than run several, those overlaps show which United States providers already do adjacent work — and which are single-category specialists.
Contracting notes specific to United States suppliers. There is still no single federal omnibus privacy statute — the American Privacy Rights Act expired without a vote at the end of the 118th Congress — so obligations come from the states instead. Twenty states now have comprehensive consumer privacy laws in effect, with Indiana, Kentucky and Rhode Island's taking effect on 1 January 2026; California's CCPA as amended by the CPRA remains the broadest and the only one carrying even a limited private right of action. Sectoral rules layer on top of that: HIPAA where the work touches health data, GLBA where it touches consumer financial data, and FedRAMP authorisation where the buyer is a federal agency. The practical question to put to a United States vendor is which specific state regimes its standard data processing agreement is already mapped to, and in which states or regions the processing and any sub-processing physically happens.
Every entry is drawn from the same independently maintained machine learning platforms directory as the rest of the site. Placement is not sold, the order is alphabetical rather than ranked, and the listing is not auto-scraped. Where a field is unknown it is shown as unknown rather than filled with a guess, so you can see exactly how much is on the record for each United States provider before you contact them.
Prefer to compare without the country filter? Browse the full Machine Learning Platforms directory or the wider AI company directory.
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