SVG Ventures

Proofminder is a pioneering company that has developed a leaf-level farming platform designed to enhance precision agriculture. Established in 2021, the company integrates artificial intelligence and visual data to provide micro-level actionable insights on every leaf and plant, thereby aiding growers in achieving sustainable production goals. The platform offers a wide array of features, including plant monitoring, disease detection, crop assessment, flower detection, and weather damage analysis, enabling field crop and vegetable producers to optimize their operations throughout the growing season. By partnering with drone service providers and other key players in the agroindustry, Proofminder aims to create a seamless experience for growers, whether they are involved in seed production, orchards, or various types of crops. Recognized for its innovative approach, Proofminder was awarded "Most Innovative Agri Startup of 2021" by the Hungarian Chamber of Agriculture and has been shortlisted as one of the top three agri innovations globally in 2021 and 2022. The company's mission is to contribute to a more sustainable, innovative, and profitable future for the agroindustry, regardless of environmental changes.

CropScanAg is a manufacturer specializing in analytical instruments for the agriculture industry. Their product range includes near-infrared analyzers, seed image analyzers, and grain analyzers, among others. These instruments enable agro-industries to gather real-time grain quality data and field data analytics, thereby optimizing crop production.

CropMind is a company that specializes in computer vision technology aimed at enhancing decision-making for fruit growers. It offers a comprehensive suite of data-driven solutions, including advanced analytics tools for monitoring crop yields, counting buds, and applying chemical thinning. In addition, CropMind provides critical weather information and yield prediction services. By empowering farmers with actionable insights, the company helps optimize agricultural operations and increase overall efficiency.

Sentire develops artificial intelligence and robotics software for autonomous and collaborative robots. Its platform offers unified machine learning workflows, edge AI, and vision intelligence services, enabling businesses to enhance robotic autonomy and efficiency while reducing costs and errors.

OneCup AI develops BETSY, an AI-powered computer vision system that remotely monitors and manages livestock. It uses facial recognition to identify animals, track their health and behavior, and proactively alerts ranchers in case of emergencies.

Nexus Robotics, established in 2017 and headquartered in Halifax, Canada, specializes in developing autonomous robots for the agriculture industry. Their primary product is a weeding robot that effectively removes weeds while preserving crops, using a camera system and AI to differentiate between the two. This robot not only extracts weeds but also provides farmers with crop health data, enabling more informed decision-making.

Vivid Machines is a startup that builds a precision crop management platform for fruit and vegetable producers. The system combines advanced vision sensors, multispectral imaging, and machine learning to deliver real‑time analytics. It quantifies fruit size distribution, detects pests and diseases, and assesses plant health, enabling growers to digitize the physical and chemical attributes of their fields. By providing plant‑specific insights and predictive tools, the platform helps farmers optimize resource use, improve yield and product quality, and increase the proportion of crops that reach grocery stores.

Veridi Technologies develops innovative technology that enables farmers to detect plant diseases and pathogens at early stages. By leveraging computer vision and automated microscopy, the company optimizes laboratory diagnostics that are accurate, affordable, and scalable. This advanced approach not only facilitates the early identification of diseases but also helps analyze soil biodiversity. As a result, farmers can reduce their reliance on pesticides while improving crop yields, contributing to more sustainable agricultural practices.

Muddy Machines develops autonomous robots aimed at assisting farms with labor-intensive crops. The company's primary focus is on enhancing its technology for harvesting green asparagus, while also exploring applications for other crops. Utilizing computer vision and machine learning, Muddy Machines' robotics platform enables precise harvesting by predicting crop maturity and selectively gathering produce, minimizing damage and ensuring freshness. In addition to harvesting, the company is investigating other labor-intensive agricultural tasks, such as weeding and precision applications, to further support farmers in improving efficiency and productivity in their operations.

Iamus Technologies Limited is an artificial intelligence and robotics firm based in Ireland, specializing in innovative solutions for the poultry industry. The company has developed advanced robotic technology tailored for poultry farmers, enabling them to make informed and safer production decisions. Over the past two years, Iamus Technologies has collaborated with poultry processors globally to identify key performance indicators that their robots can continuously monitor within poultry sheds. This technology utilizes machine learning to transform visual, environmental, and biometric data into actionable insights, allowing for automatic and precise data collection from birds across the production floor. The real-time analysis and feedback provided by Iamus's platform address the increasing demands of modern, intensive broiler production, enhancing operational efficiency and decision-making for both producers and processing facilities.

Muddy Machines develops autonomous robots aimed at assisting farms with labor-intensive crops. The company's primary focus is on enhancing its technology for harvesting green asparagus, while also exploring applications for other crops. Utilizing computer vision and machine learning, Muddy Machines' robotics platform enables precise harvesting by predicting crop maturity and selectively gathering produce, minimizing damage and ensuring freshness. In addition to harvesting, the company is investigating other labor-intensive agricultural tasks, such as weeding and precision applications, to further support farmers in improving efficiency and productivity in their operations.

Iamus Technologies Limited is an artificial intelligence and robotics firm based in Ireland, specializing in innovative solutions for the poultry industry. The company has developed advanced robotic technology tailored for poultry farmers, enabling them to make informed and safer production decisions. Over the past two years, Iamus Technologies has collaborated with poultry processors globally to identify key performance indicators that their robots can continuously monitor within poultry sheds. This technology utilizes machine learning to transform visual, environmental, and biometric data into actionable insights, allowing for automatic and precise data collection from birds across the production floor. The real-time analysis and feedback provided by Iamus's platform address the increasing demands of modern, intensive broiler production, enhancing operational efficiency and decision-making for both producers and processing facilities.

Muddy Machines develops autonomous robots aimed at assisting farms with labor-intensive crops. The company's primary focus is on enhancing its technology for harvesting green asparagus, while also exploring applications for other crops. Utilizing computer vision and machine learning, Muddy Machines' robotics platform enables precise harvesting by predicting crop maturity and selectively gathering produce, minimizing damage and ensuring freshness. In addition to harvesting, the company is investigating other labor-intensive agricultural tasks, such as weeding and precision applications, to further support farmers in improving efficiency and productivity in their operations.

Bloomfield Robotics specializes in the assessment of plant health and performance through innovative technology. The company operates a digital platform designed for breeders, growers, and scientists, enabling them to study plants more efficiently. By utilizing deep learning and portable cameras, Bloomfield collects detailed data on various aspects of plant health, including growth rate, water usage, and nutrient uptake. This valuable information supports the enhancement of plant breeding programs, optimizes crop management practices, and advances scientific research. Ultimately, Bloomfield Robotics aims to assist farmers in improving crop yield and quality while minimizing environmental impact and fostering the development of new plant varieties.

OneCup AI develops BETSY, an AI-powered computer vision system that remotely monitors and manages livestock. It uses facial recognition to identify animals, track their health and behavior, and proactively alerts ranchers in case of emergencies.

Serket is a software company that develops recognition technology designed to assist farmers in monitoring and tracing their pigs individually and automatically using standard cameras. Their innovative system addresses animal health and food safety concerns by enabling easy documentation through pictures and videos, thereby reducing the potential for human error. This solution offers a more accessible alternative to traditional smart tagging methods, which are often too expensive for many farmers. By leveraging existing technology from other industries, Serket empowers farmers to manage their livestock more effectively and efficiently, ultimately enhancing food safety and animal welfare.

Bloomfield Robotics specializes in the assessment of plant health and performance through innovative technology. The company operates a digital platform designed for breeders, growers, and scientists, enabling them to study plants more efficiently. By utilizing deep learning and portable cameras, Bloomfield collects detailed data on various aspects of plant health, including growth rate, water usage, and nutrient uptake. This valuable information supports the enhancement of plant breeding programs, optimizes crop management practices, and advances scientific research. Ultimately, Bloomfield Robotics aims to assist farmers in improving crop yield and quality while minimizing environmental impact and fostering the development of new plant varieties.

Serket is a software company that develops recognition technology designed to assist farmers in monitoring and tracing their pigs individually and automatically using standard cameras. Their innovative system addresses animal health and food safety concerns by enabling easy documentation through pictures and videos, thereby reducing the potential for human error. This solution offers a more accessible alternative to traditional smart tagging methods, which are often too expensive for many farmers. By leveraging existing technology from other industries, Serket empowers farmers to manage their livestock more effectively and efficiently, ultimately enhancing food safety and animal welfare.

Intello Labs is a technology company that specializes in using image matching and machine learning to assess the quality of agricultural crops. It has developed an advanced analytics platform that employs artificial intelligence, computer vision, and deep learning to facilitate decision-making within the food commodities sector. The company's image recognition technology enables the grading and quality monitoring of agricultural products, providing transparency and standardization for growers, traders, retailers, and food service companies. By offering smartphone applications that utilize these image-based technologies, Intello Labs aims to reduce value risk and minimize wastage in agricultural supply chains.

Cattle Care provides an AI-driven video analytics platform for dairy farms. The system uses low-cost cameras to capture video of milking shifts and cow behavior, uploads footage to company servers, and applies computer vision to detect deviations from normal parlor operation and welfare indicators. By identifying anomalies early, it helps farmers spot sick animals and take timely action, supporting efficient farm management and animal welfare.

Stream Technologies Inc. specializes in the manufacture and marketing of hyperspectral imaging devices, including its flagship product, the ColorFlow Lens. Founded in 2012 and based in Edmonton, Canada, the company also offers associated software that enables users to update, modify, and share images in real time. Stream Technologies focuses on building connections between camera manufacturers, systems integrators, algorithm developers, and researchers, facilitating advancements in spectral imaging technology.

Tensorfield Agriculture is a company based in San Jose, California, specializing in the development and manufacture of advanced agricultural machinery tailored for specialty row crops. Founded in 2018, the company focuses on innovative solutions that promote sustainable farming practices in a post-herbicide environment. Tensorfield Agriculture's machinery includes robots equipped with computer vision technology that perform selective, non-invasive weeding through thermal micro-dosing techniques. This approach helps farmers combat herbicide resistance while ensuring the continued supply of safe and sustainable fresh food. The company's commitment to enhancing agricultural efficiency positions it at the forefront of modern farming solutions.

Aker Technologies Inc. is a company dedicated to providing advanced crop intelligence and in-season analytical tools for agricultural operations. Established in 2014 and based in Winnebago, Minnesota, with an additional office in Chicago, the firm focuses on enhancing precision farming practices through innovative technology. Aker Technologies has developed patented computer vision and biometric sensors, alongside software solutions that detect, classify, and measure various agricultural challenges, including pest pressure, airborne pathogens, crop diseases, and fertility issues within crop canopies. The company's services also include a customer service platform tailored for chemical suppliers, agricultural retailers, and consultants, facilitating support for growers throughout the growing season.

Aker Technologies Inc. is a company dedicated to providing advanced crop intelligence and in-season analytical tools for agricultural operations. Established in 2014 and based in Winnebago, Minnesota, with an additional office in Chicago, the firm focuses on enhancing precision farming practices through innovative technology. Aker Technologies has developed patented computer vision and biometric sensors, alongside software solutions that detect, classify, and measure various agricultural challenges, including pest pressure, airborne pathogens, crop diseases, and fertility issues within crop canopies. The company's services also include a customer service platform tailored for chemical suppliers, agricultural retailers, and consultants, facilitating support for growers throughout the growing season.

AgShift develops AI-based food quality inspection systems designed to provide objective and consistent quality control across the food supply chain. Its Hydra platform automates the quality assessment and grading of fresh produce and edible nuts using computer vision, IoT, and machine learning to deliver scalable, unbiased evaluations, generate digitized inspection reports, monitor quality trends, and maintain audit trails. The solution aims to reduce food waste, minimize recalls, and improve operational efficiency by enabling faster, data-driven decisions and standardized quality practices throughout the chain.

AgShift develops AI-based food quality inspection systems designed to provide objective and consistent quality control across the food supply chain. Its Hydra platform automates the quality assessment and grading of fresh produce and edible nuts using computer vision, IoT, and machine learning to deliver scalable, unbiased evaluations, generate digitized inspection reports, monitor quality trends, and maintain audit trails. The solution aims to reduce food waste, minimize recalls, and improve operational efficiency by enabling faster, data-driven decisions and standardized quality practices throughout the chain.