Use your data & team to create intelligent solutions

Creating machine learning solutions is not just about quick turn-around, it is about high performance, robustness and creating new solutions. Quick turn-around is important to stay competitive while not giving up on other attributes. We are here to help you achieve all of that! If you have machine learning problem to be solved, we are here to help you provide best-in-class solution by enabling your team through our ready-made solution, necessary data & tools to customize/maintain solutions. We have extensive set of tools to support your customers in the field. If need extra help, we stand behind you.

Efficient ready to use IOT solutions

MbeddedAI offers efficient ready to use solutions for various applications such as smart home appliance, security systems and smart consumer devices. Our person classifier has significantly smaller memory footprint, much faster and outperforms open source solution provided by various vendors.

Sound recognition

Identify common sound events for security applications such as glass breaking, babies crying, dogs barking, sirens and alarms etc.

Activity monitoring

Use accelerometers to identify specific motions, activities or gestures

Computer vision at the edge

Use visual sensor to identify an object, signature in the image with fast response time at Cortex M

Pattern and time series classification/regression

Infinite possibilities with your data and MbeddedAI framework

Designing vision solutions

At the edge devices, often low-power is a key requirement. Designing ultra-low power vision solutions along with retaining high performance of machine-learning models requires injection of system modeling into machine learning along with advanced machine learning techniques. We have teamed up with TinyVision® to bring low-power vision solutions that can be interfaced to host devices for creating extremely low-power front-end solutions. See the video of a face detection method on low resolution video feed with only 9 kB of model. In addition, our tools, teams and partners are ready to help with any vision related tasks.

Designing hassle-free audio solutions

As the voice control becomes favorite human-machine-interface method, the long haunted tuning in voice Control design to achieve best performance remains. At MbeededAI, we are reinventing the audio pipeline. To design audio pipeline through power of machine learning. See the video of a keyword detector Designed with our tools.

Neural network model support

MbeddedAI exhaustive support for NN kernels enables a verity of neural network architectures. We support Dense, CNN, GRU, LSTM, Transpose Convolution, Pooling kernels. This is by far more than any open source or competitor provides today.

Intuitive & complete support for machine learning flow at the edge

Machine learning has disrupted the innovation pace in the industry, and it has come to the edge devices. The edge devices are constraint and require specialized machine learning tools to create power-efficient solutions. MbeddedAI tools & support enables companies to create efficient ML enabled solutions on the edge. Many examples are provided to get started along with tools to create any ML examples.

Easy, intuitive, GUI based machine learning

Specialized interface for Data Engineering

Extensive support for augmentation, feature engineering for robust Machine learning

No hassle NN model creation and hyperparameters tuning

Embedded-friendly AI for edge devices

Cycle, Memory optimizations

Application dependent AI models

Advanced model compression methods

Support for several embedded platforms

Optimized fixed-point and floating-point implementations

Transfer learning to exploit best-in-class pre-trained neural network models

Optimized for embedded devices