Global Brain

SiLC Technologies is a startup specializing in silicon photonics, focusing on photonic sensors and 3D imaging applications. The company develops innovative technologies and integrated solutions that cater to the increasing demands of an autonomous and intelligent environment. SiLC's products are designed to enable machines to perceive their surroundings similarly to humans, offering long-range, interference-free operation and instantaneous velocity for low-latency object classification and threat detection. This capability allows for accurate diagnostics and measurement of moving objects, as well as effective human detection and analysis.

RUN.EDGE Inc. is a Tokyo-based company that specializes in SaaS-based image search and data analysis services for the sports sector. Founded in 2018, the company operates as a subsidiary of Fujitsu Limited. RUN.EDGE offers advanced video analysis tools, including FL-UX, which facilitates real-time video analysis and team collaboration by synchronizing tagged scenes with play video data for immediate feedback. The company's Pitchbase app provides a platform for analyzing baseball pitching scenes, featuring fast-scene playback technology that allows users to review and compare different pitching and batting forms efficiently. With a focus on enhancing communication and collaboration among sports teams, RUN.EDGE aims to transform sports scenes into actionable insights through its innovative video analysis solutions.

SiLC Technologies is a startup specializing in silicon photonics, focusing on photonic sensors and 3D imaging applications. The company develops innovative technologies and integrated solutions that cater to the increasing demands of an autonomous and intelligent environment. SiLC's products are designed to enable machines to perceive their surroundings similarly to humans, offering long-range, interference-free operation and instantaneous velocity for low-latency object classification and threat detection. This capability allows for accurate diagnostics and measurement of moving objects, as well as effective human detection and analysis.

RUN.EDGE Inc. is a Tokyo-based company that specializes in SaaS-based image search and data analysis services for the sports sector. Founded in 2018, the company operates as a subsidiary of Fujitsu Limited. RUN.EDGE offers advanced video analysis tools, including FL-UX, which facilitates real-time video analysis and team collaboration by synchronizing tagged scenes with play video data for immediate feedback. The company's Pitchbase app provides a platform for analyzing baseball pitching scenes, featuring fast-scene playback technology that allows users to review and compare different pitching and batting forms efficiently. With a focus on enhancing communication and collaboration among sports teams, RUN.EDGE aims to transform sports scenes into actionable insights through its innovative video analysis solutions.

Deeping Source Inc is a technology company based in Seoul, South Korea, specializing in data anonymization. Its core technology effectively removes personally identifiable information (PII) from images and videos while maintaining the data's usability for artificial intelligence (AI) applications. The company holds global patents in this area and has developed two primary AI products. The first is an AI video analytics solution that leverages anonymized CCTV footage to provide insights into visitor behavior in retail environments and exhibition centers. The second product supports autonomous driving AI by enabling the collection of vast amounts of real-world image and video data without breaching privacy regulations. By utilizing its anonymization technology, Deeping Source allows companies to gather and utilize sensitive data securely, facilitating compliance with privacy laws such as GDPR while enhancing data-driven decision-making.

Araya Inc. is a Tokyo-based company that specializes in developing artificial intelligence software solutions. Founded in 2013, the company focuses on deep learning algorithms that facilitate real-time image recognition and processing services, enabling the identification of various individuals and objects in images and videos. Araya's technology also includes deep reinforcement learning, allowing for the autonomous movement of drones and robots. Additionally, the company has developed a unique deep learning compression technology that enhances the efficiency of its algorithms, making them smaller and faster while maintaining accuracy. By aiming to advance the capabilities of artificial intelligence towards potential artificial consciousness, Araya seeks to address the diverse needs of its clients through innovative AI services.

Araya Inc. is a Tokyo-based company that specializes in developing artificial intelligence software solutions. Founded in 2013, the company focuses on deep learning algorithms that facilitate real-time image recognition and processing services, enabling the identification of various individuals and objects in images and videos. Araya's technology also includes deep reinforcement learning, allowing for the autonomous movement of drones and robots. Additionally, the company has developed a unique deep learning compression technology that enhances the efficiency of its algorithms, making them smaller and faster while maintaining accuracy. By aiming to advance the capabilities of artificial intelligence towards potential artificial consciousness, Araya seeks to address the diverse needs of its clients through innovative AI services.

Vue.ai is an AI-powered experience management suite that combines the power of product, customer, and business intelligence using computer vision. By using image recognition and data science, they help retailers generate product, and customer intelligence, and combine these with market insights, to power growth. They help retailers move up the digital maturity curve with unified AI solutions that are flexible and scalable.

StradVision, Inc. specializes in developing advanced perception algorithms designed to enhance the capabilities of vehicles in recognizing and understanding their surroundings. Founded in 2014 and headquartered in Seoul, South Korea, with additional offices in California, Japan, India, China, and Germany, the company provides solutions such as SVNet External for external vehicle perception and SVNet Internal for monitoring driver and passenger status. StradVision's technology supports advanced driver assistance systems and autonomous vehicle applications, utilizing camera-based perception AI and LiDAR to ensure safety and accuracy in real-time object detection and classification. The company has achieved notable rankings in technology evaluations and holds over 60 issued patents, with more than 150 pending, reflecting its commitment to innovation in the automotive sector. Its auto labeling tool enhances data training efficiency, minimizing the need for human intervention and facilitating the development of reliable self-driving capabilities.

Araya Inc. is a Tokyo-based company that specializes in developing artificial intelligence software solutions. Founded in 2013, the company focuses on deep learning algorithms that facilitate real-time image recognition and processing services, enabling the identification of various individuals and objects in images and videos. Araya's technology also includes deep reinforcement learning, allowing for the autonomous movement of drones and robots. Additionally, the company has developed a unique deep learning compression technology that enhances the efficiency of its algorithms, making them smaller and faster while maintaining accuracy. By aiming to advance the capabilities of artificial intelligence towards potential artificial consciousness, Araya seeks to address the diverse needs of its clients through innovative AI services.

Araya Inc. is a Tokyo-based company that specializes in developing artificial intelligence software solutions. Founded in 2013, the company focuses on deep learning algorithms that facilitate real-time image recognition and processing services, enabling the identification of various individuals and objects in images and videos. Araya's technology also includes deep reinforcement learning, allowing for the autonomous movement of drones and robots. Additionally, the company has developed a unique deep learning compression technology that enhances the efficiency of its algorithms, making them smaller and faster while maintaining accuracy. By aiming to advance the capabilities of artificial intelligence towards potential artificial consciousness, Araya seeks to address the diverse needs of its clients through innovative AI services.

Stipple is an internet technology company based in San Francisco that specializes in enhancing the visual web by transforming digital images into interactive experiences. Its innovative marketing technology stack detects and identifies content within images, allowing advertisers and publishers to incorporate interactive and curated content seamlessly. Stipple's platform enables native advertising solutions and fosters organic connections to commerce, thereby driving discovery, engagement, and customer loyalty. The technology offers unique image analytics and advertising capabilities without the need for widgets or embed codes, making it scalable across the web. Stipple is backed by prominent investors, including Floodgate and Kleiner Perkins.