Real World
Physical environment with objects, people, and natural phenomena that need to be monitored and analyzed.
Easy setup
Plug & play: connect your sensor and start capturing data instantly
Real-Time Analytics
Our cloud-powered AI ingests vibration, temperature and motion data 24/7, instantly surfacing anomalies and actionable insights before they impact operations.
Edge “Physical AI” Engine
Our on-device inference runs advanced models right at the sensor (“physical AI”), filtering noise, detecting anomalies and sending only critical events to the cloud—ultra-low latency, zero downtime.
Generative AI
Leverage AI-powered assistants to auto-generate plain-language summaries, root-cause explanations and maintenance plans from your sensor data – just ask and get instant, human-readable insights.
Discover what industry and organizational experts are saying about this technology and its promise.
CooRider delivers deep operational insight. The data it generates forms the foundation for—and triggers—our next wave of physical AI and automation. Not just in manufacturing but in infraestructure.
Andrés BedollaCEO of yumariCoorider es una startup con una propuesta tecnológica sólida, enfocada en el desarrollo de sensores inteligentes con aplicaciones que pueden transformar diversas industrias. Su visión innovadora, su enfoque en la resolución de problemas reales y su compromiso con la calidad los han convertido en un referente dentro de la segunda generación de startups incubadas por la Secretaría y el ecosistema tanto dentro como fuera de Querétaro.
MBI Blanca Ramírez Innovation and Entrepreneurship CoordinatorTechnology is essential for the development of smart companies and smart cities, and it represents one of the most important strategic projects for the state of Querétaro. We have worked together to build a successful initiative that will undoubtedly play a key role in the region's future.
Alejandro SterlingSecretary of Economic Development, Municipality of QuerétaroI met Roberto and Kevin a few years ago at the Mexican Insitute of Transportation (MIT) when they started to develop this technology. I have seen the evolution of this technology and their different applications. Their data colection, data processing, and data interpretation is very useful. They have developed a variety of applications on different Engineering areas across different disciplines. In my opinion, their biggest strength is to sintethize the collected informarion and present it in a usuful maner that the user can take decisions at a high level, from the macro without having to see the micro. Now looking forward to opportunities to apply this technology in Geotechnical Engineering!
Sebastian Lobo GuerreroAdjunct Professor University of Pittsburgh