Product / Service Summary
AiSight is contributing to the digital transformation of the manufacturing industry, with the creation of a plugin vibration-based sensor kit that leverages AI to monitor the condition of a machine in real-timeand prevent breakdowns.
Industrial & Basic Materials
AiSight is reshaping the understanding of machine health and maintenance. The company leverages artificial intelligence algorithms to determine the state of a machine in real-time and prevent breakdowns.
The company was founded in 2018 after winning the Berliner Startup Stipendium by *who?” and participating in the accelerator program of HAX (Silicon Valley Investor SOS Ventures) in Shenzhen. Headquartered in Berlin Mitte, AiSight is now leading the evolution of what was so far known as Predictive Maintenance to its next stage, Machine Diagnostics. The data gathered and analysed by the AiSight solution allows a 24/7 control over industrial machines, aimed at identifying errors, predicting malfunctions, as well as optimizing their general parameters.
AiSight develops a solution utilizing artificial intelligence algorithms to determine the state of a machine in real-time, predict errors and dynamically regulate the machine parameters based on sensor data. The solution consists of both hardware and software components.
The hardware includes an easy-to-install (AiSight Sensorkit) device that includes a variety of sensors and is optimized to allow Plug & Play installation within minutes without specialized expertise.
The AiSight software uses machine learning models to value the condition of a machine, identify anomalies and determine causes of errors based on patterns and physical parameters in the sensor data. The key algorithm of this solution is "acoustic fingerprinting", in which physical parameters are extracted from the sensor data in order to identify patterns.
The software is based on a self-learning approach: our algorithm that can quickly re-learn unknown anomalies and therefore requires far less training data.
Our USP comes from two different factors, the depth of analysis and the business model.
Regarding the former, current systems use sensors with low resolution and frequency band. The AiSight solution relies on MEMS sensors that have double the frequency band from any solution on the market. This allows a deeper analysis: even the smallest deviations from the machines’ normal condition are identified.
For what concerns the business model, companies that want to introduce a new maintenance strategy based on data analysis and machine learning algorithms, usually have to go through a very high investment of money and time of up to 10.000€ to get from a sensor to a signal. Embarking on such a project can be the result of long consulting projects that take months or even years. On the contrary, getting started with AiSight is extremely easy. Operators will just receive their sensors and after watching a video tutorial and calibrating the product for a short time they will start gaining in
AiSight Team Members