The Challenge
More cars on the road have Advanced Driver Assistance Systems (ADAS)

More cars on the road have Advanced Driver Assistance Systems (ADAS). These systems improve on-road safety, but they rely on the calibration of their sensors.

Uncalibrated or misaligned sensors can lead to injury or fatalities. ADAS is a new technology, and the systems are not standardized, making calibration difficult.

Difficult calibrations due to numerous manufacturer standards

Calibration requires a sensitive environment

Calibration takes between 30 minutes and 2 hours

Reducing calibration times from upto 2 hours to a few minutes

Improves the reliability and sensor uptime

Applicable to all sensors

Calibrate systems deployed for other vehicles

our solution
Calibration as a Service (CaaS) for AVs, robots and Industrial IoT devices for Industry 4.0

We provide a fully automated calibration service including data analysis, static and dynamic calibration, vehicle health report, and incident reporting.

Curium’s technology will benefit all automated vehicle (AV) manufacturers, suppliers, and government sinvesting in AV infrastructure.

explainer video

Calibration as a Service (CaaS) for AVs, robots and Industrial IoT devices for Industry 4.0.

explainer video

Calibration as a Service (CaaS) for AVs, robots and Industrial IoT devices for Industry 4.0.

Product Capability
A multi-faceted platform that works with both static and dynamic calibrations.

Curium’s collapsible tunnel saves space in workshops and allows for roadside calibration. Calibration points in the tunnel allow for calibration as the vehicle drives through.

Our technology uses powerful Machine Learning (ML) tools to track calibration values. Artificial Intelligence (AI) algorithms manage the sensor datasets. They analyze the data and perform automatic calibration compensation and trigger an alarm. The sensor calibration algorithms will enable rapid offline and online sensor calibrations.

Both static and dynamic sensor calibration

More efficient and reliable calibration

Adapts to all brands of sensors

Able to calibrate multiple sensor types

Platform agnostic

Self-aware sensor network able to calibrate and re-calibrate

Standardized calibration across different sensors and car makes

Automatic compensation for the calibration errors

Alarm for vehicle health anomalies and incidents


Fully-Automated Sensor Calibration

ML Recording for Pre- and Post- Deployment Values

AI Algorithms to Analyze Data for Automatic Compensation and Alerts


Innovation that applies to any industry vertical that relies heavily on automation


Mass Transit



Industrial Equipment

Internet of Things


Dr. Ali Hasnain


Dr Hasnain is a serial entrepreneur with expertise in robotics, opto-electronics, optical imaging and sensing. He completed his award-winning PhD from the National University of Singapore and has won numerous start-up awards. His vision is to bring autonomy on the roads but safely.

Osman Ahmed


Experienced in product design and management, Osman has helped launch numerous telecom services thorughout APAC with multiple facets like network technology, cloud services architecture, and legal & regulatory approvals.

Dr.-Ing. Mohammad Abu-Alqumsa

Safety & Compliance Advisor

Dr. Mohammad Abu-Alqumsan is an expert in Processes, Methods, and Tools in E/E safety-related systems, according to functional safety standards like ISO 26262. He has a doctorate from the Technical University of Munich in Brain-Computer Interfaces in Robotic Applications.

News Highlight
News Highlight

New partnership to drive innovation in mobility sector, boost local start-up ecosystem

SINGAPORE – Start-ups in the automotive and mobility sectors can shift to a higher gear in their innovation and commercialisation efforts with the launch of a new organisation on Tuesday (July 19).

Co-pace, a partnership between government agency Enterprise Singapore and German automotive company Continental, will create strong partnerships and invest in innovative start-ups in Singapore and the Asia-Pacific, excluding mainland China.