Here is a list of 34 edge computer vision companies that are making a positive impact on society.

The Omdena “Impact Tech Leaders Series” comprises game-changing startups, stories, and thought-leadership pieces from leading impact ventures solving real-world problems.

Introduction

In recent years, edge computer vision technology has been rapidly advancing, enabling machines to analyze and interpret visual data in real-time without relying on cloud computing or data centers. As a result, leading-edge companies have emerged, revolutionizing industries such as healthcare, autonomous driving, retail, and more. These companies have harnessed the power of edge computer vision to develop innovative solutions that are changing the way we see the world. From improving safety on the road to enhancing customer experiences, the impact of these top-edge computer vision companies is far-reaching and transformative. In this article, we will explore some of the top companies leading the charge in this exciting field.

What is Edge Computer Vision and How It is Revolutionizing the Way We See Things

Edge computer vision is a type of computer vision technology that enables machines to analyze and interpret visual data in real-time at the edge of the network, without relying on cloud computing or data centers. It is a decentralized approach to computer vision that brings processing power closer to the source of the data.

Edge computer vision is revolutionizing the way we see things by enabling machines to make sense of visual data in new and innovative ways. For example, edge computer vision can be used to identify objects, people, and even emotions in real-time, making it possible to improve safety on the road, enhance customer experiences in retail, and optimize manufacturing processes.

In healthcare, edge computer vision can be used to analyze medical images, making it easier for doctors to diagnose and treat patients. In agriculture, it can be used to monitor crops and detect disease, helping farmers to optimize their yields and reduce waste. And in autonomous driving, edge computer vision is critical for enabling self-driving cars to “see” and navigate the world around them.

Overall, edge computer vision is transforming the way we see and interact with the world, enabling machines to process visual data in real-time and make intelligent decisions based on that data.

The Benefits of Edge Computing for Computer Vision

Edge computing offers a number of benefits for computer vision applications, including:

• Low Latency: By processing data closer to the source, edge computing significantly reduces latency, which is critical for real-time computer vision applications. This means that machines can analyze and interpret visual data in real-time, without the delays that come with cloud computing or data centers.
• Reduced Bandwidth Requirements: Edge computing significantly reduces the amount of data that needs to be transmitted over the network, which can save bandwidth and reduce costs. Instead of transmitting all visual data to the cloud for analysis, edge computing enables machines to analyze data locally and only send relevant information to the cloud.
• Increased Privacy and Security: Edge computing can enhance privacy and security by keeping sensitive data on local devices rather than transmitting it to the cloud. This is especially important for computer vision applications that involve sensitive information, such as medical imaging or surveillance.
• Improved Reliability: By processing data locally, edge computing reduces the risk of network failures and downtime. This makes computer vision applications more reliable and less prone to errors.
• Scalability: Edge computing can be easily scaled up or down depending on the needs of the application. This makes it easier to deploy computer vision solutions in a variety of environments, from small retail stores to large industrial facilities.

Edge computing offers a number of benefits for computer vision applications, making it an increasingly popular choice for businesses and organizations looking to leverage the power of computer vision.

How Top Edge Computer Vision Companies are Transforming Industries

Top-edge computer vision companies are transforming industries in a number of ways, including:

• Healthcare: Edge computer vision is being used to improve medical imaging, enabling doctors to diagnose and treat patients more accurately and efficiently. Companies like Arterys and Enlitic are using computer vision to analyze medical images and identify potential health issues in real-time.
• Autonomous Driving: Companies like Waymo and Tesla are using edge computer vision to enable self-driving cars to “see” and navigate the world around them. By processing visual data in real-time, these companies are developing safer and more reliable autonomous driving systems.
• Retail: Edge computer vision is being used to enhance customer experiences in retail stores. Companies like Trax and AiFi are using computer vision to analyze customer behavior and optimize store layouts to improve sales.
• Manufacturing: Edge computer vision is being used to optimize manufacturing processes and improve quality control. Companies like Sight Machine and Cognex are using computer vision to monitor production lines and identify defects in real-time.
• Agriculture: Edge computer vision is being used to monitor crops and optimize yields. Companies like Blue River Technology and Prospera are using computer vision to identify plant health issues and apply targeted treatments to improve crop yields.

Top-edge computer vision companies are transforming industries by enabling machines to analyze and interpret visual data in real-time, leading to improvements in safety, efficiency, and productivity. As edge computing technology continues to evolve, we can expect to see even more innovative applications of computer vision in the future.

The Most Innovative Applications of Edge Computing in Computer Vision

There are many innovative applications of edge computing in computer vision. Here are some of the most exciting ones:

• Smart Cities: Edge computing is being used to create more efficient and sustainable cities by analyzing data from sensors and cameras placed throughout the city. Companies like Cisco and Intel are using computer vision to analyze traffic patterns, monitor air quality, and identify potential safety hazards.
• Robotics: Edge computing is being used to enable robots to “see” and navigate the world around them. Companies like Boston Dynamics and Soft Robotics are using computer vision to develop more advanced robots that can perform a wider range of tasks.
• Augmented Reality: Edge computing is being used to enable augmented reality (AR) applications that can overlay digital information in the real world. Companies like Apple and Google are using computer vision to create AR experiences that are more immersive and interactive.
• Drones: Edge computing is being used to enable drones to “see” and navigate the world around them. Companies like DJI and Intel are using computer vision to develop more advanced drones that can fly autonomously and perform a wider range of tasks.
• Security and Surveillance: Edge computing is being used to enhance security and surveillance systems by analyzing video footage in real-time. Companies like Hikvision and Verkada are using computer vision to detect potential threats and improve overall security.

Edge computing is enabling a wide range of innovative applications in computer vision, from improving city infrastructure to enhancing robotics and AR experiences. As technology continues to evolve, we can expect to see even more exciting applications of edge computing in the future.

Top 34 Edge Computer Vision Companies to Watch in 2024

The order does not follow a ranking.

1. Augury

Augury provides end-to-end solutions that help eliminate production downtime, improve process efficiency, maximize yield, and reduce waste and emissions. They empower their customers with prescriptive insights into their processes and machines through AI-driven technology and industry-specific expertise that helps transform how they work.

• Founder(s): Gal Shaul, Saar Yoskovitz
• Founding year: 2011
• Headquarters: New York, New York, United States
• Funding: Series E

2. SiMa.ai

SiMa.ai™ is a machine learning company delivering the industry’s first software-centric purpose-built MLSoC™ platform. With push-button performance, they enable effortless ML deployment and scaling at the embedded edge by allowing customers to address any computer vision problem while achieving 10x better performance at the lowest power.

• Founder(s): Krishna Rangasayee, Steven J. Rosston
• Founding year: 2018
• Headquarters: San Jose, California, United States
• Funding: Series B

3. Kneron

Kneron focuses on the design and development of integrated software and hardware on-device Edge artificial intelligence (AI) solutions for smart homes, smart surveillance, smartphones, robots, drones, and IoT devices. Its solutions include AI System-on-Chips (SoCs), visual recognition SDKs, and neural processing unit (NPU) IP. Kneron’s vision is to empower AI on everyday devices and build the Edge AI Net.

• Founder(s): Albert Liu, Frank Chang
• Founding year: 2015
• Headquarters: San Diego, California, United States
• Funding: Series B

4. Perceptive Automata

Perceptive Automata was founded in 2016 by a team of Harvard and MIT computer vision researchers, neuroscientists, software engineers, and machine learning experts to solve what is often described as the hardest problem for automated driving: reading the state of mind of humans for the safe large-scale rollout of autonomous vehicles (L2-L5).

• Founder(s): Avery Faller, David Cox, Sam Anthony, Sid Misra, Walter Scheirer
• Founding year: 2015
• Headquarters: Boston, Massachusetts, United States
• Funding: Series A

5. ADLINK Technology

ADLINK Technology provides a wide range of embedded computing products and services to the test & measurement, automation & process control, gaming, communications, medical, network security, and transportation industries. ADLINK products include PCI Express-based data acquisition and I/O; vision and motion control; and AdvancedTCA, CompactPCI, and computer-on-modules (COMs) for industrial computing.

• Founder(s): Jim Liu
• Founding year: 1995
• Headquarters: Tapei, T’ai-wan, Taiwan
• Funding: Series Unknown

6. WaveBase Inc.

WaveBase is bringing AI solutions to ultrasound by providing AI developers and doctors with a simple to use device-agnostic platform that grounds new AI tools down from the cloud or PACS and loads them in real-time at the bedside for guidance, classification, and Auto-calibrated measurements.

• Founder(s): Peter Holmes
• Founding year: 2020
• Headquarters: Kitchener, Ontario
• Funding: Series Unknown

7. Tractable

Tractable is a software company that develops artificial intelligence for accident and disaster recovery. Through the use of deep learning to automate visual damage appraisal, Tractable’s AI looks at photos of the damage and predicts repair costs. By providing its AI to the largest insurers worldwide, Tractable helps to settle claims quickly and efficiently, which in turn impacts livelihoods.

• Founder(s): Adrien Cohen, Alexandre Dalyac, Razvan Ranca
• Founding year: 2014
• Headquarters: London, England, United Kingdom
• Funding: Series D

How do you measure impact?

Tractable is on a mission to positively impact the industry, people, and the planet with our AI. For the auto and property industries, we make accident and disaster recovery 10x faster by using AI to increase workplace efficiency, improve customer experience and reduce waste. This directly benefits people who are experiencing the life disruption of a car accident or home damage after a natural disaster. Our tech allows them to repair, protect and renew the things that are essential to their daily lives with more speed and ease than before possible.

That impact extends to our planet by improving efficiency across the entire repairs and claims ecosystem, we’re cutting carbon emissions and increasing the scale of industry recycling by identifying car parts that can be salvaged.

As the adoption of our AI keeps growing, we see this impact in real-time. We’re working with the world’s largest insurance, auto, and property companies and processing more than $7 billion in annualized auto and home repairs.

8. Hivecell

Hivecell is the first complete edge-as-a-service solution. Hivecell enables cloud-like computing power to be deployed on-premise, at the true edge, outside the data closet. Hivecell was founded in 2008 and headquartered in Beacon, New York, with offices in Cedar Rapids, Iowa, and Lviv, Ukraine.

• Founder(s): Jeffrey Ricker, Paul Lyman
• Founding year: 2008
• Headquarters: Beacon, New York, United States
• Funding: Series A

9. Standard AI

With the first checkout-free solution that works in any existing store, the Standard platform allows customers to walk in, take what they need, and walk out—without waiting in line or stopping to scan or pay. The company’s machine vision and AI-powered solution is the only one that can be quickly and easily installed in retailers’ existing stores, representing a giant leap forward for retail tech and enabling retailers to rapidly deliver an amazing new shopping experience to customers.

• Founder(s): Jordan Fisher
• Founding year: 2017
• Headquarters: San Francisco, California
• Funding: Series Unknown

10. Shield AI

Shield AI is building the world’s best AI Pilot. Shield AI is an artificial intelligence company founded in 2015 with the mission to protect service members and civilians with intelligent systems. The company’s Hivemind autonomy stack is the first and only autonomous AI Pilot, deployed in combat since 2018.

• Founder(s): Andrew Reiter, Brandon Tseng, Ryan Tseng
• Founding year: 2015
• Headquarters: San Diego, California, United States
• Funding: Series E

11. Airobotics

Airobotics Ltd. is an Israeli manufacturer and operator of Unmanned Aircraft systems deployed as mission-critical strategic aerial infrastructure for government and commercial entities all over the world. Airobotics provides trusted autonomous drones used for Safe & Smart Cities, Defense, Homeland Security, industrial projects, and facilities, performing various automated aerial missions 24/7 with no human intervention.

• Founder(s): Meir Kliner, Ran Krauss
• Founding year: 2014
• Headquarters: Petah Tiqva, HaMerkaz, Israel
• Funding: Convertible Note

12. Sight Machine

Using Sight Machine’s common Data Foundation for operations and analysis, manufacturers can make better, faster decisions for improving production performance. Sight Machine’s streaming platform continuously analyzes all assets, data sources, and processes, from machine to enterprise level.

• Founder(s): Adam Taisch, Anthony Oliver, Jon Sobel, Kurt DeMaagd, Nathan Oostendorp
• Founding year: 2012
• Headquarters: San Francisco, California, United States
• Funding: Series C

13. Viso.ai

Viso Suite is the no-code computer vision platform to build, deploy and operate computer vision from one place. The viso.ai® no-code technology makes computer vision development 10x faster, more flexible, and future-proof.

• Founder(s): Gaudenz Boesch, Nico Klingler
• Founding year: 2017
• Headquarters: Schaffhausen, Schaffhausen, Switzerland
• Funding: Series Unknown 

14. Deepomatic

Deepomatic is a visual automation platform that helps organizations and businesses with computer vision applications. The company enables field operation companies to turn workers’ smartphone camera footage into actionable insights.

• Founder(s): Alois Brunel, Augustin Marty, Vincent Delaitre
• Founding year: 2014
• Headquarters: Paris, Ile-de-France, France
• Funding: Series B

15. AEye, Inc.

AEye’s unique software-defined lidar solution enables advanced driver assistance, vehicle autonomy, smart infrastructure, logistics, and off-highway applications that save lives and propel the future of transportation and mobility.

• Founder(s): Barry Behnken, Jordan Greene, Luis Dussan, Ransom Wuller
• Founding year: 2013
• Headquarters: Dublin, California, United States
• Funding: Post-IPO Equity

16. Edgify

Train Deep Learning Models Directly on the Edge! Edgify’s framework gives any edge unit the ability to run Deep learning and AI training locally, without the need to extract the data to a server or having to pay the network costs of Model building. They call this self-training AI.

• Founder(s): Nadav Tal-Israel, Ofri Ben Porat
• Founding year: 2015
• Headquarters: London, England, United Kingdom
• Funding: Seed

17. Robovision

Robovision is a central platform to manage vision intelligence. Successfully introduce AI in dynamic environments without the need for AI experts. Runs in the cloud and on the edge.

• Founder(s): Jonathan Berte, Tim Waegeman
• Founding year: 2009
• Headquarters: Zwijnaarde, Oost-Vlaanderen, Belgium
• Funding: Series Unknown

18. Regna

REGNA is a pioneer in factory-direct, custom-made apparel manufacturing. They aim to provide athletes with the best options and accessories. By combining innovative engineering design, and picked, tested, premium materials they aim to build the best products. Regna is the true “factory direct to the end user” experience.

• Founder(s): Unknown
• Founding year: 2022
• Headquarters: Ho Chi Minh City, Vietnam
• Funding: Series Unknown

19. SenseTime

SenseTime is a leading AI software company founded in Hong Kong in 2014, focused on creating a better AI-empowered future through innovation. Upholding a vision of advancing the interconnection of physical and digital worlds with AI, driving sustainable productivity growth and seamless interactive experiences, SenseTime is committed to advancing AI research, developing scalable and affordable AI software platforms that benefit businesses, people, and society, as well as attract and nurture top talents to shape the future together.

• Founder(s): Bing Xu, Li Xu, Xiaogang Wang
• Founding year: 2014
• Headquarters: Sha Tin, New Territories, Hong Kong
• Funding: Post-IPO Equity

How do you measure impact?

“Upholding a vision of advancing the interconnection of physical and digital worlds with AI, driving sustainable productivity growth and seamless interactive experiences, we are committed to advancing AI research, developing scalable and affordable AI software platforms that benefit businesses, people, and society, as well as attract and nurture top talents to shape the future together.”

“In addition, SenseTime actively advocates for the ethical and healthy development of AI to ensure positive social impact. As more companies around the world use AI in their products and services, cultivating public trust in AI technologies remains a crucial step in unleashing the potential of AI. With AI governance entering the next stage, developing responsible and verifiable AI is the company’s next goal to help the industry improve the trustworthiness of their AI products and services.” (The quote is by a SenseTime spokesperson)

20. Nauto

NautoⓇ is a leading provider of innovative advanced driver assistance system (ADAS) and Driver Management System (DMS) technology that improves the safety of commercial fleets today and the various levels of autonomous vehicles of tomorrow. Nauto’s solutions combine predictive-AI technology, data science, and more than 1.7 billion AI-processed driving miles to help predict and prevent collisions before they occur.

• Founder(s): Frederick Soo, Stefan Heck
• Founding year: 2015
• Headquarters: Palo Alto, California, United States
• Funding: Series B

21. Orbital Insight

Orbital Insight is the leader in geospatial analytics and location intelligence that helps organizations understand what’s happening on and to the Earth. Orbital Insight uses AI to answer their questions about supply chains, global commodities, geopolitical events, demographics, and national security using multiple sources of geospatial data—including satellite images, mobile location, connected cars, and other IoT data.

• Founder(s): David J. La Placa, James Crawford, Jeff Stein
• Founding year: 2015
• Headquarters: Palo Alto, California, United States
• Funding: Series E

22. Edge Impulse

Edge Impulse offers the latest in machine learning tooling, enabling all enterprises to build smarter edge products. Their technology empowers developers to bring more AI products to market faster and helps enterprise teams rapidly develop industry-specific solutions in weeks instead of years.

• Founder(s): Jan Jongboom, Zach Shelby
• Founding year: 2019
• Headquarters: San Jose, California, United States
• Funding: Series B

23. Invisible AI

At Invisible AI their goal is to create a digital tool to error-proof users manufacturing. Invisible AI’s computer vision platform monitors body posture and ergonomics to give operators real-time feedback. They help ensure processes are done correctly and safely, every time.

• Founder(s): Eric Danziger, Prateek Sachdeva
• Founding year: 2018
• Headquarters: Palo Alto, California, United States
• Funding: Series A

24. ZEBRA MEDICAL

Medical device manufacturer and distributor of specialized products mainly in the fields of oncology, pain management, ultrasound, and dialysis. Zebra Medical Technologies features a clinical imaging modality that provides immediate visualization of cellular structures and transforms patient care. It was founded in 2012 and is headquartered in Menlo Park, California.

• Founder(s): Eric Danziger, Prateek Sachdeva
• Founding year: 2002
• Headquarters: Johannesburg, Gauteng
• Funding: Undisclosed

25. Hawk-Eye Innovations Ltd

Hawk-Eye is a British company that develops vision processing, video replay, and creative graphical technologies to support broadcasting, officiating, and coaching across a variety of sports. It is focused on sports such as tennis, cricket, football, baseball, ice hockey, field hockey, volleyball, rugby, badminton, horse racing, athletics, basketball, snooker, and more.

• Founder(s): Paul Hawkins
• Founding year: 1999
• Headquarters: Basingstoke, Hampshire, United Kingdom
• Funding: Series Unknown

26. Neuromation

Neuromation is a leading Enterprise AI solutions and platform provider recently recognized by Gartner as a “Cool Vendors in AI Core Technologies.”​ The company’s Neuro platform is a best-in-class machine learning development tool enabling rapid model iteration with an unparalleled developer experience.

• Founder(s): Constantine Goltsev, Pramax Prasolov
• Founding year: 2017
• Headquarters: San Francisco, California, United States
• Funding: Initial Coin Offering

27. Bossa Nova Robotics

Bossa Nova Robotics is a provider of real-time, on-shelf product data for the global retail industry. Its technology collects terabytes of data that enable the retail ecosystem to optimize the omnichannel shopping experience. With a multidisciplinary team of robotics, computer vision, artificial intelligence, and big data scientists, Bossa Novahas solved the challenges to deploy fully autonomous service robots in busy and crowded environments.

• Founder(s): David Palmer, Martin Hitch, Sarjoun Skaff
• Founding year: 2005
• Headquarters: San Francisco, California, United States
• Funding: Debt Financing

28. aim2

Aim2 is a company that specializes in developing AI solutions for the Edge, with a particular emphasis on Computer Vision. Their goal is to create specific solutions that are tailored to the needs of their clients.

• Founder(s): Alberto Firpo, Paolo Platter
• Founding year: 2018
• Headquarters: Milano, Lombardia
• Funding: Undisclosed

29. Verkada

Verkada is a leader in cloud-managed enterprise building security, enabling over 15,000 organizations worldwide to protect their people and assets while prioritizing privacy. Designed with simplicity in mind, Verkada’s seven product lines – video security cameras, door-based access control, environmental sensors, alarms, visitor management, mailroom, and intercom – provide unparalleled visibility through a single secure cloud-based software platform.

• Founder(s): Benjamin Bercovitz, Filip Kaliszan, Hans Robertson, James Ren
• Founding year: 2016
• Headquarters: San Mateo, California, United States
• Funding: Series D

30. PerceptIn

PerceptIn, a world-class full-stack visual intelligence company, is leading the way to a new reality where machines see, interpret, learn, and take action. Some of these machines may be what they think of as traditional “robots”, but they also anticipate a broad range of devices that take the deep learning of visual intelligence, which can be integrated into almost any device, and introduce advanced functionalities for exciting new products that liberate workers from mundane tasks, creating new efficiencies.

• Founder(s): Shaoshan Liu, Zhe Zhang
• Founding year: 2016
• Headquarters: Santa Clara, California, United States
• Funding: Series A

31. IntelliSite (Now Deep Vision AI)

DeepVision is devoted to providing agile, innovative, and profitable state of the art deep learning-based computer vision solutions applied to several industries by leveraging cutting-edge technologies and trends. 

• Founder(s): Agustin Caverzasi, Leandro Lichtensztein
• Founding year: 2015
• Headquarters: Costa Mesa, California, United States
• Funding: Undisclosed

32. Upciti

With its unique sensor technology applying the most stringent privacy rules and based on image analysis by Artificial Intelligence, Upciti characterizes and optimizes flows of goods and people for towns and local areas that are more pleasant to live in.

• Founder(s): Jean-Baptiste Poljak
• Founding year: 2017
• Headquarters: Montreuil, Ile-de-France, France
• Funding: Series Unknown

33. Taranis

Taranis is a leading precision agriculture intelligence platform that uses sophisticated computer vision, data science, and deep learning algorithms to effectively monitor fields. Taranis offers a full-stack solution for high-precision aerial surveillance imagery to prevent crop yield loss due to insects, crop Farmers lose 30-40% of their yield every season due to crop diseases, insects, and weeds.

• Founder(s): Asaf Horvitz, Ayal Karmi, Eli Bukchin, Ofir Schlam
• Founding year: 2015
• Headquarters: Westfield, Indiana, United States
• Funding: Series D

How do you measure impact?

Founded in 2015, Taranis has captured and digitized a dataset of over 50 million submillimeter hi-res images and over 200 million data points. These images are used to train computer vision algorithms for detecting weeds, diseases, insects, and nutrient deficiencies in a variety of crops.

AI-powered insights provide agribusinesses and farmers with a new level of understanding of what is happening in every acre of their fields so that decisions and plans are based on real, timely data.

The impact is manifested in several ways:

• In-season decisions: Using insights and data for faster, more accurate decision-making; for example, applying the right crop protection products (herbicides, pesticides, insecticides, fungicides) at the right timing, optimal rate, and in the right place (instead of applying inputs across the entire field).

• Pre-season planning: Using data from previous seasons to build an effective field management plan for the next growing cycle and address crop threats before they impact yield. Decisions may span seed selection, input use, farming practices, and other interventions to improve crop performance.

• Crop performance and revenue opportunities: Field-specific data and personalized plans translate into higher crop yields and cost optimization. For agribusinesses, it also means an opportunity to provide premium crop protection products and value-add services that help strengthen their brand.

34. Trigo

Trigo is a computer vision startup reshaping the retail experience. Leveraging world-class AI and algorithmic experts, the company’s advanced retail automation platform identifies customers’ shopping items with exceptional levels of accuracy, creating an entirely seamless checkout process.

• Founder(s): Michael Gabay, Daniel Gabay, 
• Founding year: 2018
• Headquarters: Tel Aviv, Israel
• Funding: Undisclosed

 How do you measure impact?

Trigo Leverages computer vision technology to convert large-scale physical grocery stores into fully automated, digitized, seamless checkout stores. It’s an industry with a diverse customer base and deep-seated shopping behaviors. Our impact, our mission, and what we know our customers care about, is improving the shopper experience. We measure success in adoption, which is driven by user satisfaction.

Our two most important KPIs are accuracy and speed (time to receipt, or TTR). By excelling in both, we cement the use of computer vision in retail. Our smart stores open the door to more advanced insights-driven physical retail operations. Predictive real-time stock management, proximity marketing, planogram assurance, and fraud prevention are just a few of the applications our technology enables.

Related: Top 10 Computer Vision Startups Who Solve Real-World Problems

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