Deepcell, Inc. is a company based in Mountain View, California, focused on advancing diagnostic technologies through a non-invasive approach. Founded in 2015, it has developed a microfluidic imaging platform that leverages artificial intelligence to classify cells by their visual features. This technology allows for the isolation of viable cells based on their morphological characteristics, facilitating detailed genetic health assessments from standard blood samples. By enabling insights at the single-cell level, Deepcell aims to improve the diagnosis and treatment of various diseases, offering researchers a valuable alternative to invasive diagnostic methods.
Ambient.ai specializes in real-time human-level perception technology, focusing on creating intelligent environments that prioritize safety, efficiency, and sustainability. Founded by experts in artificial intelligence, imaging, and deep learning from prominent institutions and companies, the company has garnered support from various Silicon Valley investors. Ambient.ai has developed an AI-powered security platform that enhances organizations' ability to prevent physical security incidents and improve their response capabilities. This platform features near real-time event detection, intuitive search, and cross-network search functionalities, allowing customers to effectively identify and respond to security threats, thereby strengthening their overall security posture.
Labelbox, Inc. is an artificial intelligence-based platform designed for companies to outsource data labeling, primarily for machine learning applications. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to import datasets, create and manage labeling tasks, and collaborate effectively with internal or external labeling teams. The platform serves as a central hub for data science teams, streamlining the process of creating and managing training data. By improving data input and management, Labelbox enhances the quality of training data, which in turn contributes to the development of more accurate machine-learning models.
Neural Magic is unlocking the possibility of machine learning, by re-imagining how deep learning is done. A team of pioneers, we believe machine learning has the potential to alter the trajectory of human history. Break free of limitations. Be a part of the future.
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.
Biodock's cloud platform accelerates microscopy analysis, automating months of microscopy analysis and infrastructure to minutes with our end-to-end AI architecture. Scientists enjoy auto-scaling storage, GPU compute, and 30-50% more accurate analysis. We also have a data flywheel built into our product - we process millions of cells weekly for our free academic and enterprise customers, and we're building the largest image dataset for microscopy images, which gives us a competitive data advantage.
Skydio, Inc., founded in 2014 and based in Redwood City, California, specializes in the design, assembly, manufacturing, and support of drones. The company is recognized as a leader in autonomous flight, utilizing artificial intelligence and advanced computer vision technology to create intelligent drones capable of real-time obstacle recognition and avoidance. These drones are employed in various applications, including public safety, inspection, and defense, serving a diverse clientele that encompasses consumers, enterprises, and government entities. Skydio sells its products online, enabling users to engage in complex tasks with enhanced safety and simplicity. The company's innovative approach positions it at the forefront of the drone industry, catering to a wide range of sectors and applications.
Labelbox, Inc. is an artificial intelligence-based platform designed for companies to outsource data labeling, primarily for machine learning applications. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to import datasets, create and manage labeling tasks, and collaborate effectively with internal or external labeling teams. The platform serves as a central hub for data science teams, streamlining the process of creating and managing training data. By improving data input and management, Labelbox enhances the quality of training data, which in turn contributes to the development of more accurate machine-learning models.
Reface offers state-of-the-art technology for high-quality face-swapping. Based on GAN (generative adversarial networks) methodology, it works fast and you need only one photo to make a high-quality face-swap. Reface strives to build the first social platform of dynamically personalized media content empowered with machine learning technology. Launched in January 2020, it was ranked as a number one in the US AppStore. The app was downloaded over 70 million times in seven months after it launched. Reface was founded by Roman Mogylnyi, Oles Petriv, Yaroslav Boyko, Denys Dmytrenko, Kyrylo Syhyda, Dima Shvets and Ivan Altsybeiev. Data protection is a social responsibility for Reface. We do not use data for any other purposes except for face-swapping. Work with the B2B segment includes ready-to-use technology and tools for businesses. Reface provides tools for creators to produce great content while keeping the costs down. It’s aimed at advertising and marketing, media, streaming, game development, video production industries, and more.
Deepcell, Inc. is a company based in Mountain View, California, focused on advancing diagnostic technologies through a non-invasive approach. Founded in 2015, it has developed a microfluidic imaging platform that leverages artificial intelligence to classify cells by their visual features. This technology allows for the isolation of viable cells based on their morphological characteristics, facilitating detailed genetic health assessments from standard blood samples. By enabling insights at the single-cell level, Deepcell aims to improve the diagnosis and treatment of various diseases, offering researchers a valuable alternative to invasive diagnostic methods.
Skydio, Inc., founded in 2014 and based in Redwood City, California, specializes in the design, assembly, manufacturing, and support of drones. The company is recognized as a leader in autonomous flight, utilizing artificial intelligence and advanced computer vision technology to create intelligent drones capable of real-time obstacle recognition and avoidance. These drones are employed in various applications, including public safety, inspection, and defense, serving a diverse clientele that encompasses consumers, enterprises, and government entities. Skydio sells its products online, enabling users to engage in complex tasks with enhanced safety and simplicity. The company's innovative approach positions it at the forefront of the drone industry, catering to a wide range of sectors and applications.
Drishti Technologies, Inc. specializes in artificial intelligence-based computer vision solutions designed for visual inspections in manufacturing processes. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Bengaluru, India, the company offers a software as a service solution that leverages video analytics and traceability to enhance productivity, quality, and training on manual assembly lines. Drishti's technology digitizes human actions, providing real-time, non-intrusive observations that enable manufacturers to improve operational efficiency. It serves primarily the electronics and automotive industries by facilitating the training of new employees, cross-training existing staff, and identifying high-performing workers who innovate within their roles. This approach not only aids in digital transformation but also helps workers remain competitive in an increasingly automated environment.
Labelbox, Inc. is an artificial intelligence-based platform designed for companies to outsource data labeling, primarily for machine learning applications. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to import datasets, create and manage labeling tasks, and collaborate effectively with internal or external labeling teams. The platform serves as a central hub for data science teams, streamlining the process of creating and managing training data. By improving data input and management, Labelbox enhances the quality of training data, which in turn contributes to the development of more accurate machine-learning models.
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.
Neural Magic is unlocking the possibility of machine learning, by re-imagining how deep learning is done. A team of pioneers, we believe machine learning has the potential to alter the trajectory of human history. Break free of limitations. Be a part of the future.
Neural Magic is unlocking the possibility of machine learning, by re-imagining how deep learning is done. A team of pioneers, we believe machine learning has the potential to alter the trajectory of human history. Break free of limitations. Be a part of the future.
DeepMap, Inc. specializes in high-definition (HD) mapping and localization solutions tailored for autonomous vehicles. Founded in 2016 and located in Palo Alto, California, the company addresses the challenges of mapping and big data management for Level 4 and Level 5 autonomous driving. Its platform provides essential capabilities including HD maps, centimeter-level real-time localization for diverse road types and conditions, and simulation data, which are crucial for enabling self-driving cars to navigate complex environments safely and efficiently. DeepMap boasts a talented team with experience from leading companies such as Google and Apple, and collaborates with automotive industry partners to enhance the safety and reliability of autonomous mobility.
Drishti Technologies, Inc. specializes in artificial intelligence-based computer vision solutions designed for visual inspections in manufacturing processes. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Bengaluru, India, the company offers a software as a service solution that leverages video analytics and traceability to enhance productivity, quality, and training on manual assembly lines. Drishti's technology digitizes human actions, providing real-time, non-intrusive observations that enable manufacturers to improve operational efficiency. It serves primarily the electronics and automotive industries by facilitating the training of new employees, cross-training existing staff, and identifying high-performing workers who innovate within their roles. This approach not only aids in digital transformation but also helps workers remain competitive in an increasingly automated environment.
Skydio, Inc., founded in 2014 and based in Redwood City, California, specializes in the design, assembly, manufacturing, and support of drones. The company is recognized as a leader in autonomous flight, utilizing artificial intelligence and advanced computer vision technology to create intelligent drones capable of real-time obstacle recognition and avoidance. These drones are employed in various applications, including public safety, inspection, and defense, serving a diverse clientele that encompasses consumers, enterprises, and government entities. Skydio sells its products online, enabling users to engage in complex tasks with enhanced safety and simplicity. The company's innovative approach positions it at the forefront of the drone industry, catering to a wide range of sectors and applications.
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.
Deepcell, Inc. is a company based in Mountain View, California, focused on advancing diagnostic technologies through a non-invasive approach. Founded in 2015, it has developed a microfluidic imaging platform that leverages artificial intelligence to classify cells by their visual features. This technology allows for the isolation of viable cells based on their morphological characteristics, facilitating detailed genetic health assessments from standard blood samples. By enabling insights at the single-cell level, Deepcell aims to improve the diagnosis and treatment of various diseases, offering researchers a valuable alternative to invasive diagnostic methods.
Ambient.ai specializes in real-time human-level perception technology, focusing on creating intelligent environments that prioritize safety, efficiency, and sustainability. Founded by experts in artificial intelligence, imaging, and deep learning from prominent institutions and companies, the company has garnered support from various Silicon Valley investors. Ambient.ai has developed an AI-powered security platform that enhances organizations' ability to prevent physical security incidents and improve their response capabilities. This platform features near real-time event detection, intuitive search, and cross-network search functionalities, allowing customers to effectively identify and respond to security threats, thereby strengthening their overall security posture.
DeepMap, Inc. specializes in high-definition (HD) mapping and localization solutions tailored for autonomous vehicles. Founded in 2016 and located in Palo Alto, California, the company addresses the challenges of mapping and big data management for Level 4 and Level 5 autonomous driving. Its platform provides essential capabilities including HD maps, centimeter-level real-time localization for diverse road types and conditions, and simulation data, which are crucial for enabling self-driving cars to navigate complex environments safely and efficiently. DeepMap boasts a talented team with experience from leading companies such as Google and Apple, and collaborates with automotive industry partners to enhance the safety and reliability of autonomous mobility.
Drishti Technologies, Inc. specializes in artificial intelligence-based computer vision solutions designed for visual inspections in manufacturing processes. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Bengaluru, India, the company offers a software as a service solution that leverages video analytics and traceability to enhance productivity, quality, and training on manual assembly lines. Drishti's technology digitizes human actions, providing real-time, non-intrusive observations that enable manufacturers to improve operational efficiency. It serves primarily the electronics and automotive industries by facilitating the training of new employees, cross-training existing staff, and identifying high-performing workers who innovate within their roles. This approach not only aids in digital transformation but also helps workers remain competitive in an increasingly automated environment.
DeepMap, Inc. specializes in high-definition (HD) mapping and localization solutions tailored for autonomous vehicles. Founded in 2016 and located in Palo Alto, California, the company addresses the challenges of mapping and big data management for Level 4 and Level 5 autonomous driving. Its platform provides essential capabilities including HD maps, centimeter-level real-time localization for diverse road types and conditions, and simulation data, which are crucial for enabling self-driving cars to navigate complex environments safely and efficiently. DeepMap boasts a talented team with experience from leading companies such as Google and Apple, and collaborates with automotive industry partners to enhance the safety and reliability of autonomous mobility.
Comma.ai, Inc. is a technology company based in San Francisco, California, that specializes in developing self-driving kits designed to enable vehicles to operate autonomously. Founded in 2015 by George Hotz, the company aims to demonstrate that driverless vehicle technology can be achieved affordably using readily available components and existing cars. Comma's self-driving technology allows vehicles to steer, accelerate, and brake automatically within their lanes. Additionally, the company has implemented a camera-based driver monitoring system that functions day and night, ensuring driver attention and safety by alerting them when their focus drifts away from the road. Comma.ai has also contributed to the field by open-sourcing a dataset consisting of 7.25 hours of highway driving, furthering research and development in autonomous vehicle technology.
Skydio, Inc., founded in 2014 and based in Redwood City, California, specializes in the design, assembly, manufacturing, and support of drones. The company is recognized as a leader in autonomous flight, utilizing artificial intelligence and advanced computer vision technology to create intelligent drones capable of real-time obstacle recognition and avoidance. These drones are employed in various applications, including public safety, inspection, and defense, serving a diverse clientele that encompasses consumers, enterprises, and government entities. Skydio sells its products online, enabling users to engage in complex tasks with enhanced safety and simplicity. The company's innovative approach positions it at the forefront of the drone industry, catering to a wide range of sectors and applications.
Skydio, Inc., founded in 2014 and based in Redwood City, California, specializes in the design, assembly, manufacturing, and support of drones. The company is recognized as a leader in autonomous flight, utilizing artificial intelligence and advanced computer vision technology to create intelligent drones capable of real-time obstacle recognition and avoidance. These drones are employed in various applications, including public safety, inspection, and defense, serving a diverse clientele that encompasses consumers, enterprises, and government entities. Skydio sells its products online, enabling users to engage in complex tasks with enhanced safety and simplicity. The company's innovative approach positions it at the forefront of the drone industry, catering to a wide range of sectors and applications.
Lytro, founded in 2006 by Ren Ng, specializes in Light Field imaging technology, providing a platform that allows artists, scientists, and innovators to capture multi-dimensional data from various angles. The company launched its first consumer Light Field camera in 2012, followed by the second-generation Lytro ILLUM in 2014, along with accompanying software tools to enhance user experience. By 2015, Lytro expanded its focus to include cinematography, virtual reality, and scientific applications, establishing itself as a key player in a new technological ecosystem. This strategic shift aimed to extend the capabilities of Light Field imaging across diverse industries, granting users unprecedented creative freedom and visual quality. Headquartered in Mountain View, California, Lytro is supported by prominent venture capital firms.
Oculus is a virtual reality company founded in 2012 and headquartered in Menlo Park, California. The company focuses on enabling immersive experiences through its platform, which supports devices like the Rift and Samsung's Gear VR. One of its notable products is Oculus Medium, a virtual reality sculpting tool specifically designed for creating and painting digital sculptures. This tool, which works exclusively with the Oculus Rift, allows users to sculpt, model, and paint in a fully immersive environment, making it particularly useful for video game development and filmmaking. Oculus Medium features a versatile and intuitive toolkit that promotes speed and fluidity in 3D modeling, enhancing the overall creative process. The integration of Medium's technology is seen as a significant contribution to Oculus's strategy in the 3D and immersive content space.
Lytro, founded in 2006 by Ren Ng, specializes in Light Field imaging technology, providing a platform that allows artists, scientists, and innovators to capture multi-dimensional data from various angles. The company launched its first consumer Light Field camera in 2012, followed by the second-generation Lytro ILLUM in 2014, along with accompanying software tools to enhance user experience. By 2015, Lytro expanded its focus to include cinematography, virtual reality, and scientific applications, establishing itself as a key player in a new technological ecosystem. This strategic shift aimed to extend the capabilities of Light Field imaging across diverse industries, granting users unprecedented creative freedom and visual quality. Headquartered in Mountain View, California, Lytro is supported by prominent venture capital firms.
Lytro, founded in 2006 by Ren Ng, specializes in Light Field imaging technology, providing a platform that allows artists, scientists, and innovators to capture multi-dimensional data from various angles. The company launched its first consumer Light Field camera in 2012, followed by the second-generation Lytro ILLUM in 2014, along with accompanying software tools to enhance user experience. By 2015, Lytro expanded its focus to include cinematography, virtual reality, and scientific applications, establishing itself as a key player in a new technological ecosystem. This strategic shift aimed to extend the capabilities of Light Field imaging across diverse industries, granting users unprecedented creative freedom and visual quality. Headquartered in Mountain View, California, Lytro is supported by prominent venture capital firms.