SCAIME SAS

Company information:

Set up in 1983 with the added strength of a recognized technical heritage, SCAIME is one of the world leaders in the field of load cells and measurement for industry. With its full product range and its many associated services, SCAIME provides solutions enabling its customers’ measuring problems to be solved efficiently.

SCAIME, the best solutions to meet your requirements

Combining a renowned product quality and technological expertise, we are able to offer a complete range of measurement solutions dedicated to industrial applications:

• Load cells
• Force sensors
• Torque sensors
• Extensometers
• Displacement sensors
• Pressure sensors
• Measurement systems by optical fiber
• Data acquisition systems

Our expertise is based on our know how and control of modern development tools. A close cooperation with our customers is at the heart of our success, and is the reason why we have been able to create a consistent set of products, some of them were even patented and are now references on the market. Out well-fitted and innovative solutions being able to satisfy your needs regardless of your activity field : weighing, chemical, food and beverage, steel, aircraft, medical, packaging industries…

A global player with local presence

We are present in more than 40 countries through a network of subsidiaries, partners and specialized distributors. Due to this proximity, we provide a service and logistics to efficiently support our product range.

Our head office, located in ANNEMASSE (France), has a floor area of 4 300 m² and houses our Sales & marketing services, the R&D department and assembly lines dedicated to strain gauges and load cells manufacturing. Our modern equipments include clean room, climatic chambers, laser welding robots and tied calibration means.

In addition, We benefit from group production means based in Shenzhen (China).

With this integrated, flexible and modern set of production solutions, we are able to guarantee the best quality-price ratio for unit deliveries or for large series.