Embedding your AI,
our expertise
Our unique expertise in deploying your models on any type of hardware
Embedded AI: a complex environment
Multiple formats, diverse model architectures, and vastly different hardware platforms…
Porting an AI model to a new platform can quickly become a headache. Even with the right expertise, conversion is often a challenging process, and a custom approach frequently delivers better results.
At Neovision, we have built specialized expertise in tackling these challenges. For over ten years, we have been developing and refining methods to convert and deploy AI models across a wide range of hardware platforms.
This experience has enabled us to develop semi-automated tools that improve conversion reliability and the quality of generated code, while taking into account each client’s specific performance requirements.
Our expertise
The art of deploying your AI on embedded devices
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- Model conversion tailored to hardware and software constraints.
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- Optimization to improve speed, power consumption, and memory footprint.
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- Detailed performance evaluation (IoU, precision, recall, F1 score, mAP).
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- Real-world field validation to confirm stability and reliability.
FAQ
Frequently asked questions about embedded AI
Can generative AI models run on embedded devices?
Yes
But it is still very risky today: most current hardware is not designed to run these models efficiently.
Can I entrust you with a model I developed myself?
Yes
We deploy both the models we develop for our clients and those developed in-house by their teams.
Can I purchase your conversion technology directly?
Not the conversion technology itself, but you can purchase a model converted and optimized for your use case and target hardware. Converting a model with our technology combines steps that can sometimes be automated with others that require advanced expertise to ensure reliability and performance. This capability is built on the experience gained through numerous client projects. Every phase is documented and follows a structured process to ensure a clear, controlled deployment.
Let's talk about your embedded AI project
Are you considering deploying an AI model on embedded hardware or exploring a new project? Let’s discuss it and see how we can adapt our solutions to your constraints.