This free sheet contains 100 accelerators and incubators you can apply to today, along with information about the industries they generally invest in.
This free sheet contains all the information about the top 100 unicorns, including their valuation, HQ's location, founded year, name of founders, funding amount and number of employees.
This free Notion document contains the best 100+ resources you need for building a successful startup, divided in 4 categories: Fundraising, People, Product, and Growth.
The machine learning landscape is defined by significant capital investment and a recent surge of new companies. This activity is largely focused on generative AI and geographically centered in California.
Established players like OpenAI have raised $78 billion, while younger companies like Anthropic and xAI are also securing tens of billions in capital. The following companies represent the key drivers in this space.
Below is our list of 100 Machine Learning startups worth keeping an eye on.
Everything you need to raise funding for your startup, including 3,500+ investors, 7 tools, 18 templates and 3 learning resources.
Buy It For $97 $297 →Information about the industries, countries, and cities they generally invest in.
Get the Sheet for $50Information about their valuation, HQ's location, founded year, name of founders, funding amount and number of employees.
Get the Sheet for $50List of startup investors in the BioTech, Health, and Medicine industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50List of 250 startup investors in the AI and Machine Learning industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50List of 250 startup investors in the FinTech and Finance industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50Anthropic develops large-scale AI models with a core focus on safety and aligning them with human values. Their primary product is Claude, a family of AI assistants designed to be helpful, harmless, and honest.
Perplexity created an AI answer engine to provide direct, accurate responses to complex questions. The platform combines search with a conversational AI to deliver real-time information complete with source citations.
xAI develops artificial intelligence with the stated mission of understanding the true nature of the universe. Its first model, Grok, is a conversational AI designed to answer questions with real-time information from the 𝕏 platform.
OpenAI develops advanced artificial intelligence models as a leading AI research and deployment company. They are best known for creating ChatGPT, a powerful conversational AI that has achieved widespread popularity.
Mistral AI develops a range of powerful large language models, with a focus on open-source and commercially available options for enterprises. Their platform offers tailored AI services that allow businesses to deploy and customize generative AI for their specific applications.
Glean builds an AI-powered search platform for the enterprise that connects all of a company's apps and data. This unified system allows employees to find information instantly and get AI-generated answers to their questions, improving workplace efficiency.
EliseAI develops an AI-powered platform to automate conversations and streamline workflows for the real estate industry. Their technology handles tasks like scheduling tours and answering resident questions, freeing up property management teams to focus on higher-value work.
As an applied research lab, Anysphere builds AI solutions like Cursor to automate the process of writing code. These developer tools are designed to help software engineers streamline their workflows and build products more efficiently.
Databricks builds a unified data and AI platform for data engineering, analytics, and machine learning. They pioneered the lakehouse architecture, which combines the reliability of data warehouses with the scale of data lakes.
Labs develops a human-enhancement platform using AI and augmented reality to merge digital interactions with physical spaces. Their operating system, LAV® OS, provides a unified digital identity for users to navigate these interconnected virtual and real-world environments.
Our top picks offer just a glimpse into the machine learning space. Together, the companies on our full list have raised tens of billions of dollars to build new products across dozens of industries.
You'll find a mix of brand new startups and more established players, with most of them focused on AI and analytics. Here is a look at the other 90 startups catching our attention in 2026.
| Startup | Main Industry | Year Founded | Amount Raised | Last Funding Round |
|---|---|---|---|---|
| Analytics | 2016 | $142.8M | Series B | |
| Security | 2017 | $187.8M | Series C | |
| AI | 2021 | $243M | Series C | |
| AI | 2023 | $483.6M | Series C | |
| AI | 2022 | $53.5M | Series A | |
| AI | 2012 | $1.7B | Debt Financing | |
| AI | 2009 | $386.3M | Venture Round | |
| AI | 2016 | $253.3M | Series C | |
| Fintech | 2012 | $280.6M | Series D | |
| AI | 2013 | $526M | Debt Financing | |
| AI | 2023 | $293.2M | Series A | |
| Media | 2018 | $544.5M | Series D | |
| AI | 2018 | $81.6M | Series C | |
| AI | 2013 | $101.6M | Series D | |
| AI | 2025 | $300M | Seed | |
| AI | 2024 | $25M | Series A | |
| AI | 2022 | $380M | Series C | |
| AI | 2018 | $43.2M | Venture Round | |
| AI | 2024 | $143.5M | Series A | |
| AI | 2019 | $285M | Series D | |
| AI | 2016 | $15.9B | Corporate Round | |
| Analytics | 2012 | $663.7M | Secondary Market | |
| AI | 2017 | $22.5M | Series A | |
| AI | 2022 | $23.7M | Seed | |
| AI | 2014 | $1B | Convertible Note | |
| AI | 2017 | $1.3B | Grant | |
| Fintech | 2019 | £10.9M | Seed | |
| AI | 2020 | $18.7M | Series A | |
| AI | 2025 | A$700k | Pre-Seed | |
| Analytics | 2022 | $60.7M | Series B | |
| Enterprise | 2023 | $30.4M | Series A | |
| AI | 2020 | $41.3M | Series B | |
| Analytics | 2012 | $251.1M | Secondary Market | |
| Analytics | 2011 | $450M | Series F | |
| AI | 2012 | $744.4M | Debt Financing | |
| AI | 2019 | $40.4M | Series A | |
| AI | 2025 | $100M | Seed | |
| AI | 2019 | $73M | Private Equity | |
| AI | 2016 | $1.8B | Series E | |
| AI | 2016 | $192.4M | Grant | |
| AI | 2020 | $170.4M | Series B | |
| AI | 2018 | $78.6M | Series A | |
| AI | 2020 | $13M | Venture Round | |
| AI | 2016 | $155.7M | Series C | |
| AI | 2017 | $164.5M | Series D | |
| Analytics | 2013 | $391M | Venture Round | |
| AI | 2016 | $90.8M | Venture Round | |
| AI | 2015 | $271M | Venture Round | |
| AI | 2022 | $50.6M | Series A | |
| Analytics | 2013 | $223.6M | Venture Round | |
| AI | 2019 | $59.5M | Series B | |
| Mobility | 2019 | $156.5M | Series C | |
| AI | 2021 | $203.2M | Grant | |
| AI | 2014 | $740M | Series E | |
| AI | 2020 | $593.9M | Series C | |
| AI | 2021 | $164.3M | Venture Round | |
| AI | 2019 | $178.5M | Series D | |
| AI | 2021 | $76M | Series B | |
| AI | 2016 | $414M | Venture Round | |
| Analytics | 2012 | $233M | Series C | |
| AI | 2019 | $1.2B | Private Equity | |
| AI | 2023 | $1.6B | Series B | |
| AI | 2023 | $7.5M | Seed | |
| AI | 2018 | $355M | Series C | |
| Marketing | 2014 | $536.6M | Private Equity | |
| AI | 2016 | $338.2M | Secondary Market | |
| Analytics | 2009 | $95M | Secondary Market | |
| AI | 2018 | $107.4M | Grant | |
| AI | 2015 | $83M | Grant | |
| AI | 2020 | $209M | Series C | |
| AI | 2015 | $23.8M | Series B | |
| Analytics | 2022 | $100M | Series B | |
| Analytics | 2009 | $533M | Private Equity | |
| Analytics | 2021 | $81M | Series B | |
| Analytics | 2012 | $80.4M | Venture Round | |
| Analytics | 2020 | $42M | Series B | |
| AI | 2017 | $250M | Secondary Market | |
| Analytics | 2013 | $286.6M | Secondary Market | |
| AI | 2023 | $21M | Series A | |
| AI | 2018 | $35M | Series B | |
| Cloud | 2016 | $119.1M | Series C | |
| AI | 2017 | $203.8M | Debt Financing | |
| Marketing | 2015 | $42.3M | Series B | |
| AI | 2022 | $415M | Series B | |
| AI | 2019 | $344.3M | Series B | |
| AI | 2020 | $131M | Series C | |
| AI | 2017 | $57M | Venture Round | |
| AI | 2008 | $84.8M | Series B | |
| AI | 2017 | CA$3.6M | Pre-Seed | |
| AI | 2023 | $25M | Series A |
