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Aiex.ai

Elipse

Training a computer to outperform a human vision

4th industrial revolution is here to revolutionize the way industry works. Much like the way machines and robots mimicked and replaced human motor movements, deep learning is here to mimick and ultimately replace human intelligence and we’re here to help you adopt it.

Aiex Workflow

 User-friendly workflow to achieve high performance models in record time.

Upload

Upload images, videos and manage them easily

1

Annotate

Box and polygon are ready to use tools to annotate

2

Augment

Up to 10X dataset augmentation

3

Train

Code free paralel training on platform.

4

Deploy

Use models by downloading them or inference API

5

Industries

Some of the industries that we provide services to.

Platform features

Here, you can see workflow of works.

Image and video input

EXTENSIVE DATA IMPORT TOOLS

One of the biggest challenge in AI adoption comes in the form of data preparation. So the more help you get with your data, the better. Here in AIEX we aim to deliver all the tools necessary to help you with your data needs and it starts with our extensive Data Import options.

Dataset Preperation

DATASET MANAGEMENT TOOLS

Datasets are the core of every deep learning project. They often contain tens of thousands of images spread through tens of teams for annotation and quality control. Dataset management helps you with integrations with other services as well as performing time consuming tasks in the matter of seconds.

Annotation & task management

Annotation & task management

ANNOTATION & TASK MANAGEMENT

As it is much said, data preparation is one of the greatest challenges any team willing to delve into the Deep Learning realm has to face. It’s no secret that challenges become more doable and easy when done with a companion and that’s why we’ve not only incorporated team management for dataset tasks into the core of our system, but we help you with our AI driven anotation companion.

Augmentation

DATA AUGMENTATION TOOLS

FInding quality data in large numbers often prove to be very challenging for deep learning team. At these times augmentation techniques come into play. Essentially building new data from the data you have already gathered to enlarge the data and halp you with data gathering

Data augmentation tools
Dataset health check

Health check

DATASET HEALTHCHECK

Quality of dataset plays as much, if not bigger, role in model training result as the size of dataset. Unlike the size of dataset, which is quantative, analyzing the quality of dataset and interpreting the data regarding it is much more difficult and without the proper tools, user is essentially walking in the dark. We have come up with some of the most extensive healthcheck tools to help you build better datasets.

Training

Parallel on-cloud model training

Everything done in deep learning teams, from te data gathering and data prepataion to augmentation and such are done for the purpose of training a model. Model training requires both a relatively deep knowledge of deep learning and deep knowledge of infrastructure and devops. With one of the most complete model libraries in industry, training a model has nver been this easy.

Parallel on-cloud model training
Deployment on cloud inference

Deployment

Deployment on cloud inference

Finding quality data in large numbers often prove to be very challenging for deep learning team. At these times augmentation techniques come into play. Essentially building new data from the data you have already gathered to enlarge the data and halp you with data gathering

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