A fundamental shift in AI Training

A Distributed yet Collaborative Framework for training DL and ML at the Edge

We allow any company, from any industry, to train complete DL and ML models, directly on their own edge devices. Reaching close to perfect accuracy, without the need to transfer any of the data to the cloud.

When we say edge we mean...

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Privacy by Design

Our platform scales inherently with our clients. The more devices you have, the more processing power you have and there is never a need to invest in new infrastructure.

Scalable by Definition

Our platform scales inherently with our clients. The more devices you have, the more processing power you have and there is never a need to invest in new infrastructure.

Zero Upload Time/Cost

Our platform scales inherently with our clients. The more devices you have, the more processing power you have and there is never a need to invest in new infrastructure.

Ultimate Accuracy

Our platform scales inherently with our clients. The more devices you have, the more processing power you have and there is never a need to invest in new infrastructure.

Our unique IP and process

how-it-works

The Edgify Edge Training Loop

We developed the ability to run computationally intensive processes on edge devices with limited CPU and GPU, including solutions for low connectivity, asynchronistic data, and data split into unequal batches. Turn any edge device into a DL training machine! This can be done on any device that is connected and has CPU / GPU such as simple cameras, Cashiers, connected cars, printers, laptops, mobile phones, etc.

The Edgify Collaborative Controller

In order to overcome the distributed nature of training at the edge (mainly the fact that not all edge devices see the same data and therefore have different levels of models) we have developed a collaborative controller that aggregates all the different models generated by the edge devices of the same client, and optimises them into one master model which is then shared back to the edge devices.

Our dashboard

  • Upload and control your Edge Devices

  • Track your different Edges’ contribution to the model

  • Inspect and Evaluate your Model and see the accuracy increasing ongoingly

  • Deploy your model across your entire edge network

The Verticles

The Edgify Framework is vertical agnostic. As long as you have edge devices, and are working on integrating AI into your workflow, there is a use case for using the Edgify platform instead of servers / clouds.

Medical

Retail

We provide retailers frictionless, computer vision based SCO and autonomous store framework with no infrastructure costs, fast and easy deployment from store to store, the ability to add new items to their detection models at 80% less of the cost and at over 99% accuracy!

Smart Home

Connected Cars

Agriculture

Manufacturing

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