INVENSITY has dedicated itself to the topic of ‘development of artificial intelligence’ for several years and is researching within the framework of its INVENSITY Technology Hub together with partners on various topics in the field of AI.
With the ‘INVENSITY Artificial Intelligence Assessment’ the company INVENSITY has developed its own assessment framework based on many years of experience in various industries and subject areas. The aim of this assessment methodology is to obtain an assessment of the performance of the product, the methods and tools used, the underlying processes, as well as the experiences of the developers, in order to increase the confidence of the artificial intelligence towards users and buyers (E-Mail).
AI Assessment in the M&A Review
As an investor, would you like to find out how promising the targeted AI is? Our AI Assessment will support you in this. Read the report from the M&A Review.
The market for artificial intelligence will grow disproportionately in the coming years. But which companies will profit most from this trend?
In principle, all companies can benefit. The most important factor will be to use the great potential of artificial intelligence and machine learning and to tailor these to their own products and processes. There is already a large number of known use cases of machine learning methods. However, the potential of machine learning is much more diverse and goes beyond the known applications.
INVENSITY supports you in fully exploiting these possibilities to improve your products and processes.
Object recognition has achieved a real breakthrough due to the great progress in the field of neural folding networks. In many disciplines, AI-based object recognition is more powerful and accurate than conventional human recognition.
Driver Assistant Systems (ADAS)
Diagnose based on imaging techniques
Quality inspection in production
The implementation of AI-based object recognition is often more concrete than expected. INVENSITY will be happy to advise you about the possibilities and develop a suitable solution based on the latest network architectures
Products and machines with an implemented control system offer optimal possibilities for the use of artificial intelligence. Every control system is based on the use of sensors that provide important data. data that can be used for machine learning.
Examples for AI-based machine learning:
Predictive Maintenance optimized by AI
We would be happy to advise you whether the use of machine learning can be applied to your products in a meaningful way and which algorithm is best suited. Together with your product experts, we will implement an appropriate optimisation project.
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