At GradeSens, we understand our customers' needs and share our expertise, enabling them to:
monitor and optimize their critical assets
Using advanced sensing technologies and data analytics, we help our clients keep a close watch on their most vital equipment and systems. This allows for early detection of potential failures and maximizes operational efficiency.
develop their specific digital strategy
We collaborate closely with our clients to design digital strategies tailored to their unique needs. Leveraging our extensive industry knowledge and advanced technology, we help developing business cases and seamlessly implement them in our customers’ environments.
This streamlined approach ensures that our clients can focus on their core operations while we take care of the complexities involved in asset monitoring and digital transformation.
Industrial manufacturing
Energy
Logistics
Companies Trust us
Typical Applications
High Bay Conveyors
Health indicators for the drive train, rail and trolley
Vertical Conveyors
Health indicators for the path homogeneity and belts
Gantry Cranes
Health indicators of hoists, rail surfaces, rollers and path homogeneity
Overhead Crane
Health indicators of the rails path homogeneity
Aggregates
Digital twins for the early detection of failures on inverters, motors, mechanical seals, process equipments
Hydro Turbines and Electric Generators
Digital twins for early detection of failures on turbines, generators
Tunnels
Pattern detection of wall’s vibration
Wind Turbines
Dedicated insight indicators for the main bearings, mast, generators
Ski Lifts
Digital twins for the early detection of failures on inverters, motors, gearbox
Lifts
Insight indicators for guiding issues, inadequate controller parameters and ageing of the driving belts
Our Comprehensive AI Solution
Our sensors act like our eyes and ears
Our powerful AI Digital Twins designed by Engineers for Engineers analyzes the data with dedicated algorithms
Clear recommendations on what needs attention and when required
Our structured project implementation
Business case analysis and data engineering
Analysis of the business case
Technical review of the customer’s product and reliability concerns
Data Engineering (failure mode analysis, data observable matrix, dataset specification)
Proof of Valorisation
Demonstration of the value with customer’s pilot project
Implementation and scaling
Extension of the PoV
Pre-integration of algorithms
Training and knowledge transfer
Our Business Model
ONE TIME
PILOT PROJECT
Including:
- Project Analysis
- Hardware/ Software
- Consulting/ Services
- Customer Results
RECURRENT
COMPANY WIDE DEPLOYMENT
Including:
- Our AI Analytics/ Monitoring Solutions based on Pilot Project
- Annual Maintenance/ licensing update
ONE TIME
OEM LICENSING
Including:
- Perpetual License Agreement/ Software Solutions
- Separate consulting/ Training Services @ costs
- Annual Maintenance / Release Update