Signals are usually read out at a certain frequency. These include, for example, position sensors, temperature sensors, barometers, signal strength sensors and many more. Insights are often gained by linking and evaluating the signals in a complex manner. To ensure that this evaluation is always up-to-date, the associated computations must not take longer than the time between two signal recordings. This is particularly important for safety-relevant systems. Such systems can monitor many sensors simultaneously and stop or manipulate a system if anomalies occur.
In order to make decisions as quickly as possible, high server costs are usually incurred. That is why, in addition to the speed of computations, we also focus on resource efficiency. With our tools, we reduce latency times for the calculations and at the same time the resource requirements of the model, which results in lower server costs.
Deployment done right
Deploying artificial intelligence / machine learning models the correct way is easy with our tools. Just define your models in our web-app, find the right server architecture, and deploy your models with a single click on-premise or to the cloud. Our all-in-one solution eliminates the hassle, optimizing both your models and deployment configurations to deliver maximum inference speed while minimizing server costs.