Top 10 AI startups in USA
SUMMARY
A year ago AI was something only the big tech companies had the money and manpower to create. That is not true anymore. AI is now part of life and most of the time we don’t even notice we’re using it. Asking your phone for directions, getting product suggestions while shopping online using an AI tool to write an email or editing a photo in two taps. All of it is AI working quietly in the background.
Behind most of these tools are startups, not the old, established tech giants. These young companies are not trying to build “everything” the way Google or Microsoft does. Instead they pick one problem. Go all in on solving it. A better search engine, less paperwork for doctors, quicker customer support replies or turning a simple text prompt into a video.
In the USA, cities like San Francisco, New York and Boston has become the biggest playground for these AI startups. Investors are pouring billions of dollars into this space. Many of the AI tools people use every day today started out as small unknown startups with one simple aim. Make life a little easier.
In this article we’ve listed ten AI startups from the US that are actually making a difference in what each one does and why people are talking about them.
Overview Table
| No. | Startup | Company/Owner | Founded | Main AI Product / Service | Website / Availability |
| 1 | OpenAI | OpenAI Inc, San Francisco. | 2015 | ChatGPT, GPT models, AI APIs, image generation | Free & Paid |
| 2 | Anthropic | Anthropic PBC, San Francisco. | 2021 | Claude AI, enterprise AI assistants | Free & Paid |
| 3 | Scale AI | Scale AI Inc, San Francisco. | 2016 | AI data labeling & model training | Enterprise / Paid |
| 4 | Perplexity AI | Perplexity AI Inc, San Francisco. | 2022 | AI-powered search engine | Free & Pro |
| 5 | Runway | Runway AI Inc, New York. | 2018 | AI video generation & editing | Free & Paid |
| 6 | Glean | Glean Technologies, Palo Alto. | 2019 | Enterprise AI search & knowledge management | Enterprise |
| 7 | Together AI | Together AI Inc, San Francisco. | 2023 | Cloud platform for AI model training & inference | Paid |
| 8 | Sierra | Sierra AI Inc, San Francisco, | 2023 | AI customer service agents | Enterprise |
| 9 | xAI | xAI Corp,San Francisco. | 2023 | Grok AI chatbot & foundation models | Paid / X Premium |
| 10 | Thinking Machines Lab | Thinking Machines Lab, San Francisco. | 2025 | Advanced AI research & foundation models | In Development |
1. OpenAI. The Name Everyone Knows
| Details | Information |
|---|---|
| Founded | 2015 |
| Owner | OpenAI Inc. |
| Headquarters | San Francisco |
| Plan | Free and Paid |
When you say “AI” to people, OpenAI is the name that comes to mind. OpenAI is the company that made ChatGPT, which’s the tool that made them famous.. Openai does a lot more than just ChatGPT. They build language and image models that power things like customer support bots and coding assistants that developers use.
What OpenAI does is build AI models that people and businesses use for writing, coding, customer support and more.
OpenAI services include ChatGPT, developer API access, image generation and enterprise AI tools.
2. Anthropic. The Safety-First AI Company
| Details | Information |
|---|---|
| Founded | 2021 |
| Owner | Anthropic PBC |
| Headquarters | San Francisco |
| Plan | Free and Paid |
Anthropic made Claude, which’s a strong competitor to ChatGPT. What makes Anthropic different is not the features but the trust. Companies that need to give documents to an AI choose Anthropic because they build safety into their AI from the start.
What Anthropic does is build AI assistants that’re safe, dependable and ready for businesses.
Anthropic services include Claude AI assistant, document summarising, data analysis and enterprise support tools.
3. Scale AI. The Company Working Behind the Scenes
| Details | Information |
|---|---|
| Founded | 2016 |
| Owner | Scale AI Inc. |
| Headquarters | San Francisco |
| Plan | Enterprise and Paid |
You might not use Scale AI directly. You probably use an AI tool that was trained on data that Scale AI helped organise. Every AI model needs a lot of labelled data to learn and that is what Scale AI does.
What Scale AI does is label, clean and manage the datasets that AI models are trained on.
Scale AI services include data labeling, data annotation and machine learning infrastructure for AI companies.
4. Perplexity AI. Search Without the Clutter
| Details | Information |
|---|---|
| Founded | 2022 |
| Owner | Perplexity AI Inc. |
| Headquarters | San Francisco |
| Plan | Free and Pro |
When you search for something on the internet you often have to scroll a lot of ads before you find what you are looking for. Perplexity AI is different. You ask it a question. It gives you a straight answer with sources.
What Perplexity AI does is answer your questions instead of just giving you a list of links.
Perplexity AI services include real-time web search, source-backed answers and research help.
5. Runway. AI for Video Creators
| Details | Information |
|---|---|
| Founded | 2018 |
| Owner | Runway AI Inc. |
| Headquarters | New York |
| Plan | Free and Paid |
If you make videos you know how time editing can take. Runway is an AI video editing platform that helps you create and edit videos faster. You can generate video clips from text, remove backgrounds and add effects.
What Runway does is help you make videos faster with AI.
Runway services include text-to-video generation, background removal, video editing and visual effects.
6. Glean. Stop Searching Start Working
| Details | Information |
|---|---|
| Founded | 2019 |
| Owner | Glean Technologies |
| Headquarters | Palo Alto |
| Plan | Enterprise |
Have you ever spent a lot of time looking for a file to work on? Glean solves this problem by connecting all a company’s documents, emails and apps in one place.
What Glean does is help you find what you need so you can start working.
Glean services include enterprise search, document discovery and workplace knowledge management.
7. Together AI. The Engine Behind AI Tools
| Details | Information |
|---|---|
| Founded | 2023 |
| Owner | Together AI Inc. |
| Headquarters | San Francisco |
| Plan | Paid |
Training a serious AI model needs a lot of computing power, which can be expensive. Together AI helps by renting out computing power to teams that build open-source AI models.
What AI does is provide cloud computing power for training and running AI models.
Together AI services include GPU cloud access, model deployment and support for source AI development.
8. Sierra. Customer Service That Doesn’t Feel Robotic
| Details | Information |
|---|---|
| Founded | 2023 |
| Owner | Sierra AI Inc. |
| Headquarters | San Francisco |
| Plan | Enterprise |
Most chatbots are not very good at talking to people because they just follow a script. Sierra is trying to change this by building AI agents that can have conversations.
What Sierra does is build AI customer service agents that talk to people naturally.
Sierra services include AI agents, customer support automation and query resolution.
9. XAI. Elon Musk’s AI Bet
| Details | Information |
|---|---|
| Founded | 2023 |
| Owner | xAI Corp. |
| Headquarters | San Francisco |
| Plan | Paid and X Premium |
xAI is a company that is already getting a lot of attention. The goal of xAI is to build AI that helps people understand information and solve problems.
What xAI does is build AI systems that help people understand and solve problems.
XAI services include Grok AI assistant and large-scale AI model development.
10. Thinking Machines Lab. The New Kid, on the Block
| Details | Information |
|---|---|
| Founded | 2025 |
| Owner | Thinking Machines Lab |
| Headquarters | Not Specified |
| Plan | In Development |
Thinking Machines Lab is a company that is already getting attention from investors. They are building AI that works with people and adapts to industries.
What Thinking Machines Lab does is build AI systems that adapt to different industries.
Thinking Machines Lab services include AI tools and human-AI collaboration platforms.
FAQs
1. Which US AI startup has the valuation?
OpenAI is the one, valued at more than $157 billion because of ChatGPTs large number of users and its expanding list of business contracts. XAI and Anthropic are next both getting a lot of money from investors who believe in the future of AI.
2. Where are most of these startups located?
The San Francisco Bay Area is the place, with Palo Alto and areas like Mission District right in the middle. Boston and Cambridge are next mostly because they attract startups that focus on research thanks to schools like MIT and Harvard.
3. What are the main industries these startups focus on?
They are in areas. Text and search (OpenAI, Anthropic, Perplexity) tools for developers (Anysphere/Cursor) data systems (Scale AI, Databricks) and physical robots and safety (Physical Intelligence, SSI).
4. How can individuals use these tools for content creation or book publishing?
Writers use tools like Claude and ChatGPT to come up with ideas, for titles, plan chapters and improve their writing. Creators use Suno to make background music and custom audio without needing to get permission.
Conclusion
The US AI scene shows how quickly this industry is growing and how many different ways it is expanding.
OpenAI and Anthropic are making AI models better while Perplexity is changing how people search on the internet.
Runway is using AI for video making. Glean and Sierra are helping companies work better behind the scenes.
With new startups coming out all the time and money still being invested the US is likely to stay the center of AI innovation for years.
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