AI Studio

The first ever Auto ML framework

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Use your own data and build your own AI. Access the power to build high quality classifiers. Manage and monitor them with ease.

BUILD CLASSIFIERS WITHOUT DATA SCIENTISTS

With AI Studio, anyone can build deep learning models, manage training sessions and build classifiers in the fastest way possible with zero lines of code.

DATA CENTRIC WITH CLEAR ACTION POINTS

Increasing model accuracy is an iterative process. AI Studio analyzes the failed images and gives clear insights and specific calls to action for the kind of data needed from you to improve the models

SOLUTIONS, NOT TASKS

Generic AutoML tools so far only have tasks specific to machine learning. As we have identified the problems solvable by AI in fashion, our tasks are aligned to specific use cases to solve real problems in the industry.

MONITOR WITH EASE

Evaluating the models and keeping them up-to-date is essential to building enterprise ready AI solutions. Our platform offers various ways to evaluate models and comes with embedded active-learning techniques.

We add significant value in pre-processing. The layer of domain awareness automatically focuses the Al to learnfrom more relevant areas, increasing the accuracy of classifiers while reducing the data required for training.

WHY STREAMOID?

Streamoid AI studio is the only platform that helps you understand what kinds of additional data to add to train the classifiers for better accuracy. This is the most critical component, since our AutoML takes care of finding the best model.

STEP BY STEP GUIDE TO CREATE YOUR OWN FASHION AI MODEL

Kinds of AI models you can build

Streamoid AI studio is the only platform that helps you understand what kinds of additional data to add to train the classifiers for better accuracy. This is the most critical component, since our AutoML takes care of finding the best model.

IMAGE BASED MODELS

TIME SERIES-BASED MODELS

TEXT BASED MODELS

PREDICTION MODELS

Download the AI Studio brochure here

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"AI Studio's layer of domain awareness automatically focuses the AI to learn from more relevant areas, increasing the accuracy of classifiers while reducing the data required for training. With a No Code environment, it is easy even for our stylists to train classifiers."

Shruthi, Sr. Stylist
Streamoid
Our classifiers are built for all variations of print with accuracies of
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Data Centric Approach to Fashion ML

In the face of high failure rates of Machine Learning projects, the shift to the iterative, collaborative data-centric approach is imperative. With data-centric ML platforms with advanced capabilities like AI Studio, enable fashion users to easily adopt intelligent automation in their everyday functioning and drive real digital transformation while eliminating the risks associated with the model-centric approaches to ML.

How do self-learning systems work?

Algorithms are also necessary for the software to learn. As our expectations of modern computer systems rise, programmers will not anticipate all possible scenarios and prepare their machines accordingly. As a result, the program must make independent judgments and react correctly in unexpected scenarios. As technology advances, companies and consumers will gain more and more from self-learning systems.
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