If you have an AI project, we can help you design it!
The first step is to get to grips with your project and your business constraints. Then comes the stage where together we draw up detailed functional specifications for the design of your AI prototype.
Our experts will then study your project and design a tailor-made solution to meet your needs and expectations. Beforehand, we'll have taken the time to build your dataset to drive a tailor-made model.
Then it's time to test and iterate the technology. Once the solution has been designed, Imasolia takes charge of developing it and integrating it into a prototype.
Building your dataset
Entrust us with your data and we'll make it usable!
First and foremost, for any project using AI(Deep Learning), the inference model relies on data.
In the case of Computer Vision, it is essential to obtain images that enable the creation of a model with optimum performance.
Our AI experts have developed in-house tools to transform any raw image into a usable image for relevant AI learning.
POC design
It's what we do!
It's at this stage that we begin to exploit the previously acquired and optimized dataset.
We'll find the most suitable algorithms for you based on this data and your specific applications. For example, these elements will be very different if it's image classification, object detection or Super-Resolution.
Based on the latest scientific publications, we will either develop a scratch-built algorithm or choose an Open Source algorithm.
Now comes the training phase. This is probably the most critical phase. It takes varying amounts of time, and training can be carried out on more or less complex machines, such as a simple desktop PC or a high-performance GPU server (proprietary or remote).
This stage is crucial, and we optimize the final model to the maximum for ideal performance.
Testing for industrialization
Let's learn together!
Once the preceding stages have been completed, we obtain a prototype, or POC(Proof Of Concept).
So we provide a workable POC that you can test before it goes into production.
Based on your feedback, we'll be able to improve the model with a view to putting the solution into production.
It's common for the dataset to grow constantly, which is why it's important to learn as you develop.
Let's go further
Have you thought about putting your model on a GPU(Edge Computing) platform? Then here are a few things you need to know!
And if you'd like to see an example of an AI project we're working on at Imasolia, take a look at this article.
Finally, if you have an AI project in mind, don't hesitate to contact us via our contact form, and we'll help you design your AI prototype.
