Best Machine Learning Startups to Watch
Every year, new startups pull to the forefront of their industry through exciting innovations, tech, and industry-disrupting business models. We’ve rounded up the top machine learning startups of 2023 that startup-lovers, investors, and aspiring entrepreneurs should follow.
Disclaimer: With so many exciting machine learning companies launching and growing worldwide, we aren’t able to cover them all. Furthermore, the startups that are listed below are not officially ranked and are listed in no particular order.
- Location: New York, New York
- Funding: Pre-Seed, N/A
Systematic is an AI-powered platform democratizing startup fundraising by better connecting entrepreneurs and investors. With machine learning and vast data, it provides startups with tools to analyze markets, showcase profiles, and securely share information with potential backers. Investors also benefit from deal discovery, customizable search, and analytics to evaluate opportunities.
- Location: San Francisco, California
- Funding: Series C, $105.8 Million
Particle offers users both hardware and software to enable them to prototype, scale, and manage Internet of Things (IoT) products all on one edge-to-cloud platform that replaces over 20 IoT vendors and services. A few of Particle’s most notable clients include the Massachusetts Institute of Technology (MIT) and Bosch.
- Location: Oslo, Norway
- Funding: Pre-Seed, $935,600
At the forefront of machine learning as a tool to mitigate food waste is Savvie. The Scandinavian startup provides bakeries and cafes with an easy-to-use, digital resource to streamline operations and reduce waste using actionable insights.
- Location: Silicon Valley (Redwood City, California)
- Funding: Series E, $315 Million
Alation is a leader in bringing data catalogs to market with a leading goal of providing users with trustworthy, simple data collection to help predict trends and make impactful decisions. Two of Alation’s most notable clients are Pfizer and Cisco; however, the startup has helped companies across the globe utilize data to grow and improve their business strategy.
- Location: Austin, Texas
- Funding: Series Unknown, $49.1 Million
ClosedLoop.ai is a data science company built to support the healthcare industry by making care more effective and accessible. Using ClosedLoop’s extensive database, healthcare organizations are able to leverage data and corresponding insights to improve their services and overcome challenges in the field.
- Location: Ra'anana, Israel
- Funding: Series C, $64.5 Million
Anodot is a leading machine learning tool for companies to improve customer experience, protect revenue, and secure partner ecosystems. Some of the startup’s most notable clients include Pandora, Vimeo, and Credit Karma.
Discover more top startups in Israel.
- Location: Berkeley, California
- Funding: Seed, $24.2 Million
As the name suggests, LeadGenius is an impactful tool for sales teams to generate, qualify, deliver, and convert leads resulting in an automated revenue pipeline and streamlined growth — all on one convenient platform.
- Location: Lithuania
- Funding: Undisclosed, $55,000
Reekon provides a semi-automated approach to the customer service experience through email, live chat, and phone calls to reduce the number of inquiries addressed by actual team members without sacrificing quality of service.
Feeling inspired? Learn how to launch your company with our guide on how to start a startup.
Luminance develops technology to improve and streamline reading and understanding of legal documents in every language and jurisdiction using the power of machine learning. The startup helps users at every stage of the process, from drafting legal documents to contract negotiation.
- Location: Tel Aviv, Israel
- Funding: Series A, $9.5 Million
Motorcycle safety meets machine learning with RideVision’s innovative autonomous driving software that provides any motorcycle with Predictive Vision and enhanced visibility and safety features.
Recommended: Check out our full list of the top startups to watch in 2023!