Global Brain

RLWRLD is a robotics company that develops "Physical AI" solutions. It creates robotics foundation models (RFMs) which enable robots to operate autonomously in real-world environments. These models combine large language models with traditional robotics software, allowing robots to perceive their surroundings, make decisions, and manipulate objects, much like humans do.

Rutilea is an IT company that uses open-source approaches to address social issues and advances automation and data-driven decision-making through AI, including a concept described as 'AI teaching AI'. The company develops a zero-code task recognition system that uses multimodal AI to accurately recognize tasks across varied environments, supporting data-driven decisions and operational efficiency, and enabling factories and stores to automate operations, improving productivity, efficiency, quality, and safety.

ThinkCyte, Inc. is a biotechnology company that specializes in developing an artificial intelligence-enabled, image-free visual cell sorting system, which sorts cells based on their morphology. Founded in 2016 and headquartered in Tokyo, Japan, with an additional office in San Carlos, California, ThinkCyte utilizes advanced optics and machine learning to create its ghost cytometry technology. This innovative approach allows for ultra-high throughput and content-rich analysis of single cells, facilitating research, diagnostics, and therapeutics across various medical disciplines such as drug discovery and cell therapy. The company's cell sorting technology enables researchers to identify and isolate specific cells, including rare ones, in real-time, advancing the capabilities of single-cell analysis.

Hayden AI develops artificial intelligence and machine learning technologies for automated enforcement in dedicated bus lanes and stops. Their platform aims to enhance public transit efficiency, improve street safety, and promote sustainable urban mobility.

Rutilea is an IT company that uses open-source approaches to address social issues and advances automation and data-driven decision-making through AI, including a concept described as 'AI teaching AI'. The company develops a zero-code task recognition system that uses multimodal AI to accurately recognize tasks across varied environments, supporting data-driven decisions and operational efficiency, and enabling factories and stores to automate operations, improving productivity, efficiency, quality, and safety.

Rutilea is an IT company that uses open-source approaches to address social issues and advances automation and data-driven decision-making through AI, including a concept described as 'AI teaching AI'. The company develops a zero-code task recognition system that uses multimodal AI to accurately recognize tasks across varied environments, supporting data-driven decisions and operational efficiency, and enabling factories and stores to automate operations, improving productivity, efficiency, quality, and safety.

Hayden AI develops artificial intelligence and machine learning technologies for automated enforcement in dedicated bus lanes and stops. Their platform aims to enhance public transit efficiency, improve street safety, and promote sustainable urban mobility.

SLAMcore develops simultaneous localization and mapping (SLAM) solutions for augmented/virtual reality, robotics, and autonomous vehicles. Its technology enables moving robots to localize, navigate, and understand unfamiliar surroundings using visual SLAM, sensor fusion, and event camera SLAM. The company's ETAM 2D and ETAM 3D methods demonstrate real-time, high dynamic range, and resolution intensity for event-based cameras. SLAMcore licenses its algorithms for smart technology like drones and self-driving vehicles.

Cloudpick Technology specializes in developing computer vision and artificial intelligence applications. It focuses on driving advancements in AI core knowledge and offering comprehensive application solutions for AI and big data analysis across various industries.

London-based company that aims to set the global standard for human-machine interactions. It develops technology that enables machines to understand human behavior through patented computer-vision models and a large proprietary data set, applying strict ethical standards for data use. Its Behaviour AI platform provides real-time and historical insights to help customers make smarter business decisions. The company focuses on interpreting and predicting pedestrian, passenger, and vehicle behavior to support advanced driver assistance systems and dash cam applications, informing automated decision-making engines for driver alerts and vehicle motion. The solution targets the ADAS market and offers end-to-end software for hardware providers. The business emphasizes safety and responsible data use and has earned recognition for innovation and safety initiatives.

Touch To Go is a company that addresses labor shortages and declining business potential by providing unmanned payment solutions for retail environments. The company specializes in the development and commercialization of unmanned artificial intelligence payment systems, which enable real-time tracking of customer and product movements through advanced algorithms that analyze data from cameras and sensors. By implementing these technologies, Touch To Go aims to enhance customer service, facilitate the transformation of existing businesses, and optimize employee work styles, ultimately supporting the sustainability of regional retail operations.

Deeping Source Inc. is a South Korea-based company that specializes in data anonymization technology, focusing on the secure handling of data for artificial intelligence applications. The company develops an open data platform that removes personally identifiable information from various data types, including images and videos, while maintaining their usability for AI inference and training. Deeping Source holds worldwide patents for its core technology, which underpins two primary AI products: an AI video analytics solution that leverages existing CCTV footage to provide insights into customer behavior in retail and public spaces, and a data anonymization solution designed for autonomous driving applications. This technology allows companies to gather extensive datasets from real-world environments without breaching privacy laws, facilitating the development of accurate autonomous driving systems. Through its innovative approach, Deeping Source aims to enhance data collection and sharing practices while ensuring compliance with privacy regulations.

Founded in Tokyo, Japan in 2013, Araya specializes in developing artificial intelligence software solutions. The company's core offerings include real-time image recognition AI processing services and deep reinforcement learning for autonomous drone or robot movement.

London-based company that aims to set the global standard for human-machine interactions. It develops technology that enables machines to understand human behavior through patented computer-vision models and a large proprietary data set, applying strict ethical standards for data use. Its Behaviour AI platform provides real-time and historical insights to help customers make smarter business decisions. The company focuses on interpreting and predicting pedestrian, passenger, and vehicle behavior to support advanced driver assistance systems and dash cam applications, informing automated decision-making engines for driver alerts and vehicle motion. The solution targets the ADAS market and offers end-to-end software for hardware providers. The business emphasizes safety and responsible data use and has earned recognition for innovation and safety initiatives.

Founded in Tokyo, Japan in 2013, Araya specializes in developing artificial intelligence software solutions. The company's core offerings include real-time image recognition AI processing services and deep reinforcement learning for autonomous drone or robot movement.

Realeyes is a pioneering company specializing in computer vision and emotion AI. It helps businesses enhance customer experiences and drive growth by measuring human responses to video content at scale and speed. Using webcams and advanced machine learning techniques, Realeyes' platform analyzes facial expressions to quantify emotional reactions, enabling clients like Mars Inc., P&G, and Netflix to create targeted, optimized content. Over 200 leading brands and media companies rely on Realeyes for these insights.

Mad Street Den is a computer vision and artificial intelligence company that develops a cloud-based platform to build models of generalizable intelligence and deploy them in retail and other industries. Its Vue.ai retail AI stack provides end-to-end solutions across the retail value chain, enabling onsite experiences, marketing, social channels, and operations automation. The MADstack platform offers modules such as object recognition, gaze tracking, emotion-expression detection, head and facial gestures, and 3D facial reconstruction for customizable AI applications. The company serves clients in online fashion, mobile gaming, IoT and connected cars, robotics, photos and social analytics, among other engagements. Founded in 2013 by Anand Chandrasekaran, the company operates from offices in Fremont, California, and maintains additional offices in Chennai and Bengaluru, India, and Tokyo, Japan.

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.

Mad Street Den is a computer vision and artificial intelligence company that develops a cloud-based platform to build models of generalizable intelligence and deploy them in retail and other industries. Its Vue.ai retail AI stack provides end-to-end solutions across the retail value chain, enabling onsite experiences, marketing, social channels, and operations automation. The MADstack platform offers modules such as object recognition, gaze tracking, emotion-expression detection, head and facial gestures, and 3D facial reconstruction for customizable AI applications. The company serves clients in online fashion, mobile gaming, IoT and connected cars, robotics, photos and social analytics, among other engagements. Founded in 2013 by Anand Chandrasekaran, the company operates from offices in Fremont, California, and maintains additional offices in Chennai and Bengaluru, India, and Tokyo, Japan.

Founded in 2014, StradVision develops perception algorithms for advanced driver assistance systems and autonomous vehicles. Its core product, SVNet, enables external vehicle perception through various platforms to detect and recognize objects, while SVNet Internal monitors driver and passenger status for personalized vehicle settings. StradVision's Auto Labeling Tool automates object annotation for efficient data processing. With headquarters in San Jose, USA, and R&D centers globally, the company is renowned for its high-performing machine learning algorithms and extensive patent portfolio.

Founded in Tokyo, Japan in 2013, Araya specializes in developing artificial intelligence software solutions. The company's core offerings include real-time image recognition AI processing services and deep reinforcement learning for autonomous drone or robot movement.

Founded in Tokyo, Japan in 2013, Araya specializes in developing artificial intelligence software solutions. The company's core offerings include real-time image recognition AI processing services and deep reinforcement learning for autonomous drone or robot movement.