20 Best Image Recognition Startups to Watch in [2023]

Have you ever wondered who is on the list of Image Recognition Companies with the highest growth rates?

You’re not alone.

There are hundreds of Image Recognition Companies found there, and keeping track of the hottest new startups can be challenging.

But don’t worry, we’ve got you covered. Here are the top 20 fast-growing Image Recognition Startups that have top-tier venture capital funding.

What is Image Recognition Startups?

Image recognition startups are businesses that specialize in developing and deploying technology for recognizing the content of digital images.

This type of technology is used for a variety of applications, including facial recognition, automated object identification, and image-based search. Image recognition startups usually focus on developing algorithms and software that can be used to interpret and analyze digital images.

Top 20 Fastest-Growing Startups In Image Recognition

1) OroraTech

OroraTech provides real-time information services to help in wildfire detection and monitoring.

Details of the startup:

• Country: Germany
• City: Munich
• Started in: 2018
• Founders: Björn Stoffers, Florian Mauracher, Rupert Amann, Thomas Grübler
• Number of employees: 11-50
• Funding amount: € 7,415,000
• Number of funding rounds: 6
• Number of investors: 11

You can find their website here.

2) Trax

Trax is a retail technology company that offers in-store execution tools, market assessment services, and data science solutions.

Details of the startup:

• Country: Singapore
• City: Singapore
• Started in: 2010
• Founders: Dror Feldheim, Joel Bar-El
• Number of employees: 1001-5000
• Funding amount: $1,026,900,000
• Number of funding rounds: 10
• Number of investors: 10

You can find their website here.

3) SenseTime

SenseTime is an artificial intelligence firm that specializes in cutting-edge computer vision and deep learning techniques.

Details of the startup:

• Country: China
• City: Beijing
• Started in: 2014
• Founders: Bing Xu, Li Xu, Xiaogang Wang
• Number of employees: 501-1000
• Funding amount: $2,640,000,000
• Number of funding rounds: 9
• Number of investors: 27

You can find their website here.

4) Red Points

Red Points is a technology firm that focuses on safeguarding digital assets and brands that are sold online.

Details of the startup:

• Country: Spain
• City: Barcelona
• Started in: 2011
• Founders: David Casellas, Josep Coll
• Number of employees: 101-250
• Funding amount: $85,988,342
• Number of funding rounds: 8
• Number of investors: 10

You can find their website here.

5) Doubtnut

Doubtnut is an e-learning website that allows users to ask physics, chemistry, and math study questions.

Details of the startup:

• Country: India
• City: Gurgaon
• Started in: 2016
• Founders: Aditya Shankar, Tanushree Nagori
• Number of employees: 11-50
• Funding amount: $49,939,813
• Number of funding rounds: 5
• Number of investors: 10

You can find their website here.

6) Descartes Labs

The Descartes Labs Platform was created to address some of the world’s most difficult and important geospatial analytics problems.

Details of the startup:

• Country: United States
• City: Santa Fe
• Started in: 2014
• Founders: Adam Smith, Mark Johnson, Mark Mathis, Mike Warren, Steven Brumby, Tim Kelton
• Number of employees: 101-250
• Funding amount: $58,000,000
• Number of funding rounds: 4
• Number of investors: 14

You can find their website here.

7) MEGVII

Megvii creates AI Engine, a basic technology that powers a variety of AI applications.

Details of the startup:

• Country: China
• City: Beijing
• Started in: 2011
• Founders: Qi Yin, Wenbin Tang, Yang Mu
• Number of employees: 1001-5000
• Funding amount: $1,357,000,000
• Number of funding rounds: 7
• Number of investors: 17

You can find their website here.

8) Lunit

Using AI-powered imaging biomarkers to defeat cancer

Details of the startup:

• Country: South Korea
• City: Seoul
• Started in: 2013
• Founders: Anthony Paek, Donggeun Yoo, Jungin Lee, Kyunghyun Paeng, Minhong Jang, Sunggyun Park
• Number of employees: 51-100
• Funding amount: $46,478,911
• Number of funding rounds: 5
• Number of investors: 10

You can find their website here.

9) ViSenze

ViSenze uses artificial intelligence to simplify the visual web.

Details of the startup:

• Country: Singapore
• City: Singapore
• Started in: 2012
• Founders: Chua Tat-Seng, Li Guangda, Oliver Tan, Roger Yuen
• Number of employees: 11-50
• Funding amount: $34,000,000
• Number of funding rounds: 6
• Number of investors: 16

You can find their website here.

10) Plantix

The world’s largest digital agro-ecosystem for small-scale farming, including an AI-powered crop doctor, illness alarms, and the appropriate treatments.

Details of the startup:

• Country: Germany
• City: Berlin
• Started in: 2015
• Founders: Alexander Kennepohl, Bianca Kummer, Charlotte Schuhmann, Korbinian Hartberger, Pierre Munzel, Robert Strey, Simone Strey
• Number of employees: 101-250
• Funding amount: € 17,150,000
• Number of funding rounds: 5
• Number of investors: 7

You can find their website here.

11) Kayrros

Kayrros is a data analytics firm that assists global energy market participants in making more informed investment decisions.

Details of the startup:

• Country: France
• City: Paris
• Started in: 2016
• Founders: Alexandre d’Aspremont, Antoine Halff, Antoine Rostand, Jean-Michel Lasry, Laurent El Ghaoui
• Number of employees: 51-100
• Funding amount: $34,483,346
• Number of funding rounds: 4
• Number of investors: 7

You can find their website here.

12) Deepomatic

Deepomatic creates a platform that allows professionals to create custom image recognition AI and provides clients with computer vision solutions.

Details of the startup:

• Country: France
• City: Paris
• Started in: 2014
• Founders: Alois Brunel, Augustin Marty, Vincent Delaitre
• Number of employees: 11-50
• Funding amount: $11,728,307
• Number of funding rounds: 9
• Number of investors: 11

You can find their website here.

13) Mapillary

Mapillary has created a street-level imagery platform that relies on pictures submitted by the general public.

Details of the startup:

• Country: Sweden
• City: Malmö
• Started in: 2013
• Founders: Jan Erik Solem, Johan Gyllenspetz, Peter Neubauer, Yubin Kuang
• Number of employees: 51-100
• Funding amount: $24,600,000
• Number of funding rounds: 4
• Number of investors: 11

You can find their website here.

14) EyeEm

EyeEm develops software to display the best photographs from the world’s largest photo community.

Details of the startup:

• Country: Germany
• City: Berlin
• Started in: 2011
• Founders: Florian Meissner, Gen Sadakane, Lorenz Aschoff, Ramzi Rizk
• Number of employees: 101-250
• Funding amount: $24,000,000
• Number of funding rounds: 5
• Number of investors: 7

You can find their website here.

15) Intello Labs

Image matching and machine learning are used by Intello Labs to assess crop quality.

Details of the startup:

• Country: India
• City: Haryana
• Started in: 2016
• Founders: Devendra Chandani, Milan Sharma
• Number of employees: 51-100
• Funding amount: $8,523,800
• Number of funding rounds: 6
• Number of investors: 8

You can find their website here.

16) Anyline

Anyline provides a simple scanning solution that saves both time and money.

Details of the startup:

• Country: Austria
• City: Vienna
• Started in: 2013
• Founders: Daniel Albertini, David Dengg, Jakob Hofer, Lukas Kinigadner
• Number of employees: 51-100
• Funding amount: $17,016,495
• Number of funding rounds: 5
• Number of investors: 9

You can find their website here.

17) Augmenta

Using deep learning, automate the precision application of farm inputs in real-time, increasing production, improving quality, and lowering input costs.

Details of the startup:

• Country: Greece
• City: Athens
• Started in: 2016
• Founders: Dimitri Evangelopoulos, George Varvarelis
• Number of employees: 11-50
• Funding amount: $11,150,000
• Number of funding rounds: 4
• Number of investors: 5

You can find their website here.

18) Ecopia.AI

Ecopia.AI is a machine learning firm that specializes in extracting information from geospatial big data.

Details of the startup:

• Country: Canada
• City: Toronto
• Started in: 2013
• Founders: Jon Lipinski, Yuanming Shu
• Number of employees: 11-50
• Funding amount: $6,740,000
• Number of funding rounds: 2
• Number of investors: 2

You can find their website here.

19) Seez

Seez is a smartphone app for automobile shoppers that is built on a data-driven automotive platform.

Details of the startup:

• Country: United Arab Emirates
• City: Dubai
• Started in: 2016
• Founders: Andrew Kabrit, Tarek Kabrit
• Number of employees: 11-50
• Funding amount: $8,800,000
• Number of funding rounds: 3
• Number of investors: 5

You can find their website here.

20) Co-one

Platform for crowdsourcing data annotation and enrichment that is AI-based and gamified.

Details of the startup:

• Country: Estonia
• City: Tallinn
• Started in: 2020
• Founders: Ataberk Arman Kayhan, Mert Menekşe
• Number of employees: 11-50
• Funding amount: $1,500,000
• Number of funding rounds: 2
• Number of investors: 7

You can find their website here.

FAQs

Is Image Recognition Business Profitable?

Image recognition business can be profitable depending on the services or products being offered. If the business offers services such as facial recognition for security or marketing purposes, then it can be very profitable. 

If the business offers products such as image recognition software, then it can also be profitable depending on the demand and pricing. Some businesses may also offer custom image recognition services, which can be profitable depending on the scope of the project.

What Is The Average Investment In Image Recognition?

The average investment in an image recognition business can vary significantly depending on the size and scope of the project. Generally, investments in image recognition can range from tens of thousands of dollars to millions of dollars.