MACHINE LEARNING EXPERTS
PRODUCT AND R&D MANAGERS
Detect patterns in any signal, be it audio, radar, motion sensors or machine data with our carefully designed, transparent, workflow.
Start with existing datasets or capture new data straight from your edge-devices.
Turn that data into great deep learning models with full transparency.
Validate your models and deploy them on your device within seconds.
Don't worry. With Imagimob AI you can convert TensorFlow models into optimal, self-contained C code at the click of a button.
You can then deploy that model anywhere - on a microcontroller, an embedded system, or a computer. Without any dependencies.
A compelling use-case for Edge AI is the ability to perform real time classification of audio on low-power devices. By enabling processing of audio data on an edge device, latency, power-usage and cos...
Imagimob AI is built by a team of engineers, creators and researchers with one goal in mind. Helping you to create the best possible AI applications for small devices. That is why we have built an end-to-end solution, optimizing for edge devices from the data collection, through the model building and verification, to the final deploy.
We clocked it. Without Imagimob AI it took 10 weeks to collect a dataset and build and deploy an AI model on an edge device. With Imagimob AI it took one week to reach the same level of performance.
Learn the details about Imagimob AI in this video.
Learn how you can get started on our Developers portal
Anurkash, Software Engineer
Timotej, Software Engineer at Inovasense
User of Imagimob AI, Software Engineer