Embedding your AI,
our expertise
Our unique know-how to embed your models on any type of hardware
Edge AI: a complex environment
Multiple formats, heterogeneous model architectures, diverse hardware…
Deploying an AI model on a new platform can quickly become a headache. Even with expertise, conversion often turns into an obstacle course, and results are generally better when done tailor-made.
At Neovision, we have built specific expertise on these challenges. For more than ten years, we have been developing and improving methods to convert and deploy AI models in highly diverse environments.
This experience has enabled us to develop semi-automated tools that improve conversion stability and code quality, while integrating the performance constraints specific to each client.
I need one of these
Our expertise: the art of embedding your AI
1
Conversion of the model according to hardware and software constraints.
2
Optimization to improve speed, consumption, and memory footprint.
3
Evaluation of performances (IoU, Precision, Recall, F1 Score, mAP).
4
Validation in real-world conditions to confirm stability and reliability upon code delivery.
Common questions about edge AI
Can generative AI models be embedded?
Yes, but in 2025, it’s still very risky: most current hardware is not designed to efficiently support these models.
Can I give you a model I developed myself?
Yes. We embed both the models we develop for our clients and those created internally by their teams.
Can I directly buy your conversion technology?
No. Converting a model with our technology combines steps that can sometimes be automated and others that require advanced expertise, to ensure reliability and performance. The experience gained from numerous projects with our clients forms the foundation of this expertise. Each phase is documented and structured, leading to a clear and controlled deployment.
Let’s talk specifically about your models
Are you considering embedding an AI model or exploring a new project? Let’s talk and see how we can adapt our solutions to your constraints.