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The image recognition sector is growing, with applications appearing in diverse fields like retail, healthcare, and aerospace. This technology is becoming a fundamental part of how businesses analyze visual data.
Leading the pack is Scale AI, which has secured $15.9B in funding for its AI development platform. Other major players include Trax, with $1.1B in funding for its work in retail technology.
Below is our list of 33 Image Recognition 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 $50Scale AI provides a data platform that helps teams build and deploy advanced AI systems. They are recognized for delivering the high-quality data needed to train everything from large language models to computer vision systems.
The team at Stability AI builds open-source generative AI models for images, language, audio, and video. Their most recognized creation is Stable Diffusion, a powerful text-to-image model that has been foundational for open-source AI development.
Kpler develops a data and analytics platform that offers real-time intelligence on global commodity markets. Professionals use their insights to track trade flows and make more informed decisions in sectors like oil, gas, and chemicals.
iMerit delivers data solutions for machine learning, specializing in computer vision and natural language processing. Their teams provide the high-quality, annotated data that AI developers need to train complex algorithms.
Nexar builds a network of AI-powered dash cams to help protect drivers and businesses against road incidents. Their platform turns aggregated video data into real-time alerts and valuable insights for cities and mobility companies.
Dashmote builds end-to-end artificial intelligence solutions that help companies turn visual data into actionable insights. Their platform uses computer vision and image recognition to help brands track their digital presence and understand market trends.
Trax provides computer vision and data science solutions that help retailers and consumer brands monitor their in-store execution. Their platform digitizes store shelves to deliver real-time insights on product availability and merchandising.
Capella Space operates a constellation of satellites to provide on-demand, high-resolution Earth observation data. Their advanced Synthetic Aperture Radar (SAR) technology captures clear imagery 24/7, regardless of weather or light conditions, for a variety of commercial and government applications.
Paravision builds high-performance AI software for computer vision, specializing in facial and image recognition. Their technology is deployed globally for challenging applications and is known for its emphasis on ethical development.
Techcyte builds a clinical pathology platform that uses AI to improve diagnostics for human, veterinary, and environmental labs. The company's computer vision technology assists pathologists and scientists by automating the analysis of cell samples for quicker, more accurate results.
The top ten are just a small slice of what’s happening in the field right now. Many other founders, mostly working in AI, have raised over $850 million combined to bring their ideas to life.
Some of these companies are just getting started, while others are already scaling up. Here’s a look at the other 23 startups that are catching our attention.
| Startup | Main Industry | Year Founded | Amount Raised | Last Funding Round |
|---|---|---|---|---|
| AI | 2015 | $125.1M | Series D | |
| AI | 2020 | $3M | Seed | |
| AI | 2018 | $43M | Series A | |
| AI | 2013 | $60M | Private Equity | |
| AI | 2020 | $31.4M | Debt Financing | |
| Analytics | 2016 | $78.6M | Series C | |
| Media | 2009 | $273.1M | Series D | |
| AI | 2015 | $2.9M | Grant | |
| AI | 2014 | ¥1.3B | Series B | |
| AI | 2015 | $29.2M | Venture Round | |
| AI | 2021 | $2.9M | Corporate Round | |
| AI | 2010 | €78M | Private Equity | |
| Education | 2016 | $52.4M | Convertible Note | |
| Analytics | 2012 | $1M | Grant | |
| AI | 2013 | $24.6M | Series B | |
| Analytics | 2018 | $3.1M | Seed | |
| Data | 2017 | $19.5M | Convertible Note | |
| AgTech | 2007 | $14.4M | Series B | |
| AI | 2016 | $1.5M | Seed | |
| Analytics | 2021 | $3.3M | Seed | |
| AI | 2020 | €3.2M | Seed | |
| AI | 2019 | €952k | Convertible Note | |
| AI | — | — | — |
