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Supporting manufacturing, skilled craftsmanship, and global production with cutting-edge AI technology.
We specialize in developing customized solutions tailored to each customer’s unique challenges, including automated visual inspection across manufacturing, nursing care, and healthcare.
And Greenia is Cross Compass’s AI/ML development platform, combining validated proprietary AI and software with user-friendly tools and built-in quality assurance. Guided by our commitment to usability, Greenia continuously evolves with emerging technologies to deliver solutions that contribute to society.
Greenia is the fertile ground where innovation and intelligence grow.People around the world can contribute new technologies and ideas, allowing new capabilities to emerge and develop. What begins as a few trees can grow into a forest—and ultimately transform even deserts into a thriving green ecosystem.
MANUFACIA-Vision
MANUFACIA-ONNX
MANUFACIA-OCR
Greenia embodies Cross Compass’s vision of creating such an ecosystem through cutting-edge technology: an “Intelligence Exchange” where AI and intelligence for humanoids, real-time interaction, and other applications can be shared and made accessible to everyone.
AI-Powered Visual Inspection Solution
"MANUFACIA" an AI solution that learns and inherits the expertise and know-how of skilled inspectors, transforming human inspection skills into AI.
It helps reduce false positives and the time-consuming manual reinspection of products, while digitally preserving the expertise of experienced inspectors. We work closely with customers to address on-site challenges through a phased AI implementation, from initial adoption to cost reduction.
AI Visual Inspection System Kit
〇Feeling the limitations of manual visual inspection?
〇Do you lack an environment for collecting the image data required for AI development?
〇Are high implementation costs and infrastructure setup
preventing you from adopting AI?
The AI Visual Inspection System Kit (MANUFACIA on-site for Vision) is designed to address these challenges.
It integrates the MANUFACIA AI development and evaluation environment with a camera, lighting, box PC, and monitor. Simply take it out of the box and set it up on-site to start AI-powered visual inspection immediately.
This on-site AI visual inspection kit significantly lowers the barriers to AI adoption.
Two options are available: rental or purchase.
Implementation and Development Examples
A case study of Cross Compass’s “AI Grown on the Shop Floor,” where skilled inspectors’ expertise in anomaly detection and visual inspection is passed on to AI. The technology addresses the challenge of preserving critical inspection skills amid an aging workforce and labor shortages by training AI directly on-site.
A proven case of using AI to preserve on-site inspection expertise while significantly improving efficiency without compromising quality. Featured in the 2023 Monodzukuri White Paper as an AI adoption example for addressing labor shortages.
AI inspects and visualizes nearly 10,000 products daily, with results verified on-site and models retrained 10+ times a day to continuously improve accuracy.
AI-Assisted Non-Destructive Testing
Becoming a qualified non-destructive testing (NDT) inspector takes at least two years, with specialized certifications for methods such as radiography, ultrasound, and electromagnetics. Developing full expertise requires 5–10 years of experience and broad engineering knowledge. This case study demonstrates how AI can support these highly skilled inspection tasks.
3D model generation
Autonomous driving, robotics, augmented reality (AR) and other technological applications all depend on an accurate perception of the surrounding 3D environment.
Game AI
An autonomous, self-learning AI agent that perfectly adapts to the expected user experience delivers a unique and immersive gaming experience.
3D Motion Capture
It quickly and accurately constructs 3D models of human postures and poses from a single RGB image.
Mind Reader
EEG technology provides key insights into predicting human behavior, enabling safer work procedures and environments, as well as smoother human-computer interaction.
NLP
We provide customers with seamless communication powered by advanced NLP technologies, including chatbots, digital assistants, voice recognition, and medical prediction and patient understanding.
Why choose Cross Compass?
A Company Built by Manufacturing Experts
Cross Compass brings together professionals with extensive manufacturing experience, including CEO Suzuki, who spent many years in semiconductor development and manufacturing. This background gives us a deep understanding of the importance of hands-on experience and expertise that are difficult to pass on, even with extensive training.
Our mission is to support the skills and craftsmanship developed on the manufacturing floor with cutting-edge AI technology.
A key strength of Cross Compass is our ability to understand and propose system-level solutions beyond AI, such as the MANUFACIA on-site for Vision AI visual inspection kit, which integrates AI software with cameras, lighting, a box PC, and a monitor for immediate on-site deployment.
CROSSLABS: Cross Compass’s In-House Research Institute
CROSSLABS researches future technologies such as human-machine communication and coexistence with the environments and life systems around us, with the vision of making AI more accessible: “AI Closer to You.”
By developing technologies that can be applied in real-world settings, CROSSLABS aims to transform the future of work and help solve social challenges. Rather than focusing only on immediate applications, we pursue solutions with long-term value—from the near future to decades ahead—that can continue to support people as society and technology evolve.
Greenia Platform
Greenia, developed in-house by Cross Compass, is a collection of AI capabilities and supporting software designed specifically for AI applications. It combines user-friendliness with competitive advantages over general-purpose platforms.
Greenia enables rapid prototyping and significantly shorter development cycles, while allowing AI functions to be easily modified, added, or replaced to meet changing requirements.
One application uses a smartphone to automatically read numbers displayed on digital devices, save the data to an app, and export it to other systems. This can make daily operations in manufacturing, nursing care, and healthcare much faster and easier.
