10 Best AI Data Startups In 2025 To Get Ideas From
It’s almost 2025, and AI is changing industries quicker than ever before. Businesses across the globe are starting to use advanced data solutions to catch up with competitors and redefine the market.
The question isn’t how to join this amazing AI revolution; it’s where to start if you’re an entrepreneur or founder looking to make your mark in this industry.
The challenges are vast and the opportunities too. As AI data startups are making headlines, it’s easy to get lost every time you have a company with an AI data problem but with no application, experience or scale, so much AI data work to do! So, What’s your next big innovation that will put you in a different class?
To help you get inspired, we analyzed the most promising best AI data startups of 2025.
These companies pave the way to redefining industries, solving complex problems, and showing that audacious ideas can create game-changing businesses.
Let’s start without any hassle!
Top 10 Best AI Data Startups in 2025
1.OpenAI
It was started in 2015
Objective: non-profit artificial intelligence research lab
This giant venture, which is on this list of best AI data startups, was launched by big names like Elon Musk, Sam Altman, and others. Since then, OpenAI has been expanding, and now it’s a partnership between the non-profit corporate structure OpenAI LLP and the managing non-profit organization OpenAI Inc.
The company has the mission to engage in long-term research and purposefully contribute to developing safe Artificial General Intelligence (AGI).
In June 2021, open AI released the first version of the DALL-E, an image-generating deep learning model known as ‘prompts’. DALL-E can also combine ideas and properties together or styles in order to create images.
In November this year, OpenAI released ChatGPT, an AI for conversational processing for questioning, language translation, and writing in an unscripted fashion of any fiction or non-fiction.
Although metrics for this are tough to explain, it would not be surprising to learn that the early outburst of ChatGPT saw it sign up more than a million users in its first five days on the market, and it generated US$300 million in revenue in 2023, US$3.7 billion in 2024, and ultimately, expecting to hit US$11.6 billion next year.
2. Anthropic
It was started in 2021
Objective: AI Safety, AI Alignment
Anthropic is creating what is likely the most top-notch efforts in getting AI safer.
Now, they focus on researching ways to ensure AI systems align with human values and goals. This is especially important as powerful AI models raise increasing concerns.
Meanwhile, as governments and corporations are tightening AI regulations. Anthropic stands out by creating reliable AI systems that reduce risks.
3. Scale AI
It was started in 2016
Objective: Data Labeling for AI
Scale AI provides high-quality labeled data. It is essential for training machine learning models. It helps businesses to get the data right, which ensures businesses get to the best with their AI models.
With its key role in the AI ecosystem, Scale AI is one of the most valuable AI startups to invest in. With an increasing number of companies devising complex AIs, there is always a need for well-labeled data.
In addtion, big companies like Toyota, Lyft, and Airbnb use Scale AI’s solutions. This makes it a leader in AI data labeling. Investors see it as a top choice due to the growing demand for AI and machine learning services.
4. Hugging Face
It was started in 2016
Objective: Open-Source AI Tools
By democratizing AI Hugging Face offers the open source machine learning models through Hugging Face. With a focus on creating pre-trained models available from their platform, developers and researchers can use them to build and deploy AI systems much more easily.
The fact that Hugging Face is trying to make AI more accessible makes it one of the best AI startups of all time. On the other hand, their open-source approach enables developers to build AI applications fast without reinventing the wheel, a must in practice for the healthcare, finance and natural language processing (NLP) community.
Hugging Face leads in open-source AI. It is a strong choice for investors seeking innovation. Developers and researchers worldwide use its tools.
5. Cerebras Systems
It was also started in 2016
Objective: Deep Learning Hardware, Artificial Intelligence chips
Cerebras Systems develops its own Wafer Scale Engine (WSE) which is the world’s largest AI processor to quickly accelerate deep learning applications.
Yet in the race to make more complex AI models, the need for more powerful hardware to support them continues. Cerebras Systems tackles this by designing state-of-the-art chips that enable blazing-fast training of machine learning models.
These industries are already moving to their AI hardware products, making them a key player in the AI hardware space. Cerebras Systems’ technology is a deep learning hardware game changer; its technology is one of the most promising AI startups to invest in.
6. DataRobot
It was started in 2012
Objective: Automated Machine Learning
DataRobot provides a platform that automates the machine learning AI model development, training, and deployment process so the tool is accessible for businesses without extensive technical ability.
DataRobot is at the forefront of AI startups, dedicated to the automation of AI for businesses that do not need an additional data science team.
The data is everywhere — it’s how enterprises are increasingly making data-driven decisions and DataRobot’s platform provides a simple way to leverage the power of AI.
If you’re a long-term growth investor trying to capitalize on the AI trend of businesses adopting AI to augment operations, then look no further than DataRobot.
7. SambaNova Systems
It was started in 2017
Objective: Enterprise AI Platforms and AI hardware.
SambaNova Systems is developing advanced AI hardware and software platforms to help enterprises run AI applications. In particular, industries that demand high performing AI, like finance, energy and healthcare are leveraging their platforms.
As large-scale and enterprise-level AI tasks become more and more necessary, SambaNova Systems is quickly becoming one of the top AI startups to put money into.
The idea behind their AI hardware is to optimize the usage of machine learning models so that it’ll be easier for businesses to incorporate AI technologies in their practices.
SambaNova is on track to become a leading provider of AI hardware solutions, thanks to strong backing from investors like SoftBank and Alphabet.
8. Runway
It was started in 2018
Objective: Creative Industries Generative AI
Runway helps filmmakers, designers and more use AI to do more through content like videos, images and animations.
Runway is also one of the top AI startups in the creative industries, an increasingly important area in AI. It is paving the way with tools which empower artists and designers to use AI as part of their creative process.
As generative AI is going to be a huge part of content creation in the future, Runway’s innovative tools make it an interesting investment opportunity for people who want to invest in the effect of AI on creativity.
9. Viz.ai
It was started in 2016.
Objective: Healthcare Solutions Powered by AI
By using AI for real-time medical diagnostics Viz.ai aims to increase patient outcomes. Their platform helps to identify critical disorders like strokes and get in faster to intervene.
The startup that best illustrates why healthcare is a great idea for an AI startup to investigate is Viz.ai. Viz.ai’s AI-powered diagnostic tools are changing the way medical professionals find and treat life-threatening conditions, and as healthcare systems continue to embrace AI, Viz.ai is on the cusp.
If investors want to invest in healthcare AI, a rapidly growing field, the startup’s real-time diagnostics can revolutionize healthcare delivery.
10. Recursion Pharmaceuticals
It was started in 2013
Objective: AI-Driven Drug Discovery
AI is used by recursion to run biological data and identify promising treatments for diseases by 3D bioprinting.
Being the last on the list of the best AI data startups, Recursion is very much on the futuristic edge of AI-driven biotechnology and it’s arguably one of the most interesting AI startups within the healthcare sector to invest in.
The pharmaceutical industry breaks into the ground by applying machine learning to drug discovery, naming, reducing the time it takes to bring new drugs to market.
Final Thoughts
As of now, you have enough info regarding the best AI data startups in 2025, to take inspiration on how you can start your own AI startup this coming year.
By any chance you have something regarding your AI business idea to discuss, Reliable Startup is here to sort your worries out.
Contact us today to discuss the idea.
FAQs
1. What is the best AI startup?
There is no one ‘best’ AI startup as it depends on how they are defined and what factors are of interest – innovation, funding or impact?
Of course, now there are also popular AI startups, such as OpenAI, which creates complex language models, including ChatGPT, or Anthropic, which is associated with the development of artificial intelligence safety. Some other promising ones like, Scale AI (data labelling and infrastructure) and Hugging Face (open–source NLP tools) are also ahead in their game.
2. What is the highest-valued AI startup?
Of all the AI startups present in the market, OpenAI ranks among the most valuable, with a worth of more than 90 Billion US dollars in the last quarter of 2023.
Some other high-stakes companies are Anthropic and Scale AI which have raised tens of billions of dollars, and they are crucial in AI advancement and utilization.
3. What are the best AI data stocks?
Top companies that offer exposure to AI and data include:
- NVIDIA (NVDA): The leader of AI hardware with GPUs used in AI training and inference.
- Palantir Technologies (PLTR): Comprises Analysis for bigger firms and administration organizations.
- Datadog (DDOG): This is involved with cloud application development and involves special sections for monitoring and analyzing cloud applications.
- Snowflake (SNOW): Provides data warehousing services involving queries and data analytics for Artificial Intelligence applications.
4. Do AI startups make money?
Today a large number of AI start-ups are in a growing stage and they are oriented on innovations rather than revenue. However, some make enormous sales from software as a service and application programming interfaces or artificial intelligence-based tools.
One of them is OpenAI, which has a business model based on its API and partnerships, and the other one; Scale AI – an enterprise AI solutions provider. The significance of AI startups’ main source of income, funding and overall sustainability also defines their profitability level.
