Visual Layer is a developer of a visual data management platform that enables the efficient management and curation of image and video datasets. The platform utilizes a proprietary graph engine to automatically identify data quality issues, such as corrupted images and incorrect labels, while also detecting outliers. By providing suggestions for correction, Visual Layer helps clients maintain high-quality datasets, thereby enhancing data performance and accuracy. This approach allows organizations to handle visual data at scale, ensuring that their datasets are reliable and effective for various applications.
Evinced offers end-to-end accessibility automation services aimed at helping enterprises ensure their web and mobile applications are accessible to all users. Utilizing advanced rule sets, computer vision, and AI algorithms, Evinced automatically detects and identifies accessibility issues while providing actionable solutions. Its AI-enabled products streamline the discovery and analysis of accessibility problems, allowing organizations to integrate these processes directly into their software development pipelines. This integration facilitates improved design, development, automated testing, and compliance monitoring, ultimately saving developers time and reducing risks associated with manual audits. Leading enterprises rely on Evinced to incorporate accessibility throughout their software development lifecycle, enhancing the usability of their digital offerings.
AiVF is an artificial intelligence support platform designed for in vitro fertilization (IVF) treatments. Founded in 2018 by three professionals, the company is based in Tel Aviv, Israel. AiVF utilizes domain-specific AI and deep learning algorithms to analyze images and videos of developing embryos, while also integrating patient electronic medical records, genomic data, and visual information. This comprehensive approach assists clinicians in making informed decisions at critical stages of the IVF process. By enhancing embryo evaluation and improving operational efficiencies within IVF clinics, AiVF aims to provide customized treatment options and facilitate data-driven decision-making, ultimately reducing costs for both patients and laboratories.
Hour One AI, founded in 2019 and based in Vancouver, Canada, specializes in creating synthetic video content using artificial intelligence technology. The company is recognized as a leading provider of synthetic characters based on real individuals, facilitating businesses in enhancing communication with their customers. Hour One produces high-quality, photo-realistic videos through a vast repository of ready-to-use characters, enabling rapid content generation in multiple languages for a global audience. Its platform leverages extensive cloud infrastructure to maintain character assets and efficiently generate and edit thousands of videos across various business sectors, supporting agencies in producing engaging content with minimal obstacles.
Viz.ai, Inc. specializes in healthcare imaging software designed to enhance stroke care through the use of artificial intelligence. The company's flagship technology synchronizes treatment by reducing delays in patient care, enabling rapid identification of large vessel occlusion (LVO) strokes using advanced deep learning algorithms. Key offerings include Viz LVO, which alerts on-call stroke teams based on CT angiogram images, and Viz CTP, which analyzes CT perfusion images and generates critical parametric data. Additionally, Viz HUB facilitates communication among clinical teams to coordinate care efficiently, while Viz VIEW allows healthcare professionals to view imaging data on mobile devices. Founded in 2016 and headquartered in San Francisco, the company aims to transform healthcare delivery by improving the speed and accessibility of treatment for stroke patients.
Iterative Scopes, Inc. is a Boston-based company founded in 2017 that specializes in developing machine learning-powered diagnostic tools for gastroenterologists aimed at preventing colon cancer. The company utilizes computer vision and machine learning technologies to provide real-time computer-aided detection and diagnostic tools, which enhance the ability of doctors to detect and categorize lesions during procedures. These tools are designed to improve patient outcomes by identifying lesions that may be missed by the human eye. Additionally, Iterative Scopes offers access to deep neural networks trained by experienced gastrointestinal specialists, thereby expanding the availability of advanced diagnostic capabilities for healthcare providers globally.
Landing AI is a company that specializes in artificial intelligence transformation programs tailored for the manufacturing industry. Founded in 2017 and based in Palo Alto, California, the company develops solutions focused on visual inspection, automation, calibration, and automated issue identification. Its offerings cater to a diverse range of sectors, including manufacturing, retail, automotive, agriculture, telecommunications, and pharmaceuticals. The company aims to empower organizations to become AI-driven by providing a platform that enhances the accuracy of machine learning models through effective data generation and labeling. This platform helps identify environmental issues and alerts users to model changes, thereby facilitating efficient data management and accelerating troubleshooting processes. Founded by Dr. Andrew Ng, a prominent figure in AI, Landing AI is positioned to deliver practical AI solutions that drive value for businesses globally.
CompanyCam, Inc. offers a photo documentation and communication application tailored for contractors. Founded in 2015 and based in Lincoln, Nebraska, the app allows users to take unlimited time-stamped and location-based photos, which are securely stored in the cloud. It facilitates team collaboration by enabling users to access photos and discussions in context, share galleries and reports, and communicate through in-app commenting, mentions, and voice notes. Additionally, users can annotate photos with drawings, tags, and stickers to provide clear instructions or information directly on the images. The platform also includes features for searching and organizing projects, making it easier for teams to track progress and manage fieldwork effectively.
Ceres Imaging, Inc. is an aerial spectral imagery and analytics company based in Oakland, California, focused on enhancing agricultural productivity through advanced technology. Established in 2013, the company employs proprietary sensors and machine learning models to deliver detailed, university-validated imagery and insights to farmers and agribusinesses in the United States and Australia. This technology allows users to detect issues related to pests, diseases, and nutrient deficiencies before they become visible, thereby facilitating timely interventions. Ceres Imaging's solutions aim to optimize crop management, irrigation practices, and resource use, ultimately supporting farmers in improving yield and advancing climate resilience in their operations.
Intenseye Inc. is a San Jose, California-based company that develops an artificial intelligence-powered video analytics platform designed to enhance safety and operational efficiency in various environments. Founded in 2018, the platform enables users to connect existing cameras quickly, without the need for additional hardware or sensors. It leverages in-house deep learning models to analyze images and videos, focusing on aspects such as worker body posture, the use of personal protective equipment, and violations of safety protocols. This real-time analysis assists organizations in mitigating workplace accidents and improving overall safety, making it a valuable tool for industries like occupational health and safety, retail consumer analytics, and outdoor advertising.
Doxel, Inc. is a technology company based in Menlo Park, California, focused on improving productivity within the construction industry through advanced machine vision solutions. Established in 2015, Doxel addresses the significant challenges faced in large-scale construction projects, where over 90% encounter cost overruns and delays. By utilizing artificial intelligence and computer vision, Doxel's system employs autonomous devices to monitor construction sites comprehensively. The data collected is processed by proprietary deep learning algorithms that assess the quality of work and measure installed quantities in real time. This capability provides project managers with immediate insights into labor productivity, allowing them to address inefficiencies swiftly and potentially increase productivity by up to fifty percent.
Yoom, also known as Tetavi Ltd., is an Israeli start-up established in 2016, with its headquarters in Tel Aviv-Yafo and additional offices in Tokyo and Los Angeles. The company specializes in developing advanced camera systems that capture and broadcast high-quality live volumetric video. This innovative technology enables the production of characters, video recording, and live holograms. Yoom's solutions are designed for a variety of applications, including sports, broadcasting, and virtual reality, allowing content to be viewed on multiple platforms such as TVs, mobile devices, laptops, and VR/AR headsets.
ScreenPoint Medical B.V., founded in 2014 and based in Nijmegen, the Netherlands, specializes in artificial intelligence software designed to aid radiologists in interpreting digital breast tomosynthesis (DBT) and mammography exams. The company develops advanced deep learning and image analysis technologies that enhance the accuracy and efficiency of breast cancer detection. By leveraging extensive curated digital image databases and a comprehensive understanding of mammogram image formation, ScreenPoint Medical's solutions improve diagnostic consistency and reduce unnecessary patient recalls. Their flagship product, Transpara, supports healthcare professionals in identifying breast cancer at earlier stages, ultimately contributing to more effective and less invasive treatment options.
Viz.ai, Inc. specializes in healthcare imaging software designed to enhance stroke care through the use of artificial intelligence. The company's flagship technology synchronizes treatment by reducing delays in patient care, enabling rapid identification of large vessel occlusion (LVO) strokes using advanced deep learning algorithms. Key offerings include Viz LVO, which alerts on-call stroke teams based on CT angiogram images, and Viz CTP, which analyzes CT perfusion images and generates critical parametric data. Additionally, Viz HUB facilitates communication among clinical teams to coordinate care efficiently, while Viz VIEW allows healthcare professionals to view imaging data on mobile devices. Founded in 2016 and headquartered in San Francisco, the company aims to transform healthcare delivery by improving the speed and accessibility of treatment for stroke patients.
Ceres Imaging, Inc. is an aerial spectral imagery and analytics company based in Oakland, California, focused on enhancing agricultural productivity through advanced technology. Established in 2013, the company employs proprietary sensors and machine learning models to deliver detailed, university-validated imagery and insights to farmers and agribusinesses in the United States and Australia. This technology allows users to detect issues related to pests, diseases, and nutrient deficiencies before they become visible, thereby facilitating timely interventions. Ceres Imaging's solutions aim to optimize crop management, irrigation practices, and resource use, ultimately supporting farmers in improving yield and advancing climate resilience in their operations.
Private Equity Round in 2013
Optical Character Recognition, OCR, is the process of converting data from scanned documents into computer-editable text that can be populated into other applications. This technology isn’t limited to magnetic strip or bar-code reading. Our high-level DSP (digital signal processing) algorithms.
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