GradeSens Revenue
Industrial Machinery Manufacturing • 
Fribourg, Fribourg, Switzerland • 11-20 Employees
GradeSens revenue & valuation
| Annual revenue | $941,105 |
| Revenue per employee | $86,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Industrial Machinery Manufacturing industry and current estimated revenues | $3,100,000 |
| Total funding | No funding |
Key Contacts at GradeSens
Didier Nicoulaz
Chief Technology Officer
Yvan Jacquat
Chief Executive Officer
Joseph El Hayek
Member Board Of Directors
Company overview
| Headquarters | Bd de Pérolles 7, 1700 Fribourg, CH |
| Phone number | +41263471493 |
| Website | |
| NAICS | 3332 |
| Keywords | Analytics, Wind, Predictive Maintenance, Logistics, Power, Cloud, Process, Artificial Intelligence, IoT, Logistic, Robot, Smart Building, Hydro, Machine Learning, Wireless Sensors, Intralogistic, Automatic Warehouse |
| Founded | 2018 |
| Employees | 11-20 |
| Socials |
GradeSens Email Formats
GradeSens uses 1 email format. The most common is {first name}.{last name} (e.g., john.doe@gradesens.com), used 100% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name} | john.doe@gradesens.com | 100% |
About GradeSens
GradeSens delivers digital solutions for predictive maintenance and after-sales services specifically designed for manufacturing, energy, and logistics companies. Our offerings cater to both OEMs (Original Equipment Manufacturers) and end-users. Our solution comprises: 1. Data Acquisition We gather data from various structured sources using our wireless vibration and temperature sensors, wireless analog bridges, Modbus interface, or our cloud API connector. 2. Information Derived from Data We create a Digital Twin utilizing multiple models developed through machine learning with historical data. These models are defined in collaboration with maintenance engineers and parameterized using codeless analytics. We employ them for monitoring, generating metrics that indicate the differences between actual and predicted parameters. 3. Knowledge Generated from Information We offer a transparent model structure that facilitates real-time anomaly detection. This systematic approach enables maintenance engineers to analyze root causes and develop mitigation plans. Over time, the insights gained can be integrated into an automated reasoning system.
Employees by Management Level
Total employees: 11-20
Seniority
Employees
Employees by Department
GradeSens has 8 employees across 7 departments.
Departments
Number of employees
GradeSens Tech Stack
Discover the technologies and tools that power GradeSens's digital infrastructure, from frameworks to analytics platforms.
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JavaScript libraries
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