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BroutonLab

Meet Michael Yurushkin

Entrepreneur & Founder of BroutonLab
Mikhail Yurushkin's photo
With a PhD in Mathematics and the spirit of an entrepreneur, Mikhail is a multifaceted individual. He holds a prestigious position at Southern Federal University, where he has personally crafted courses on Deep Learning and Natural Language Processing.
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How it started
In 2017, a spark of innovation led Mikhail to gather a circle of ML engineers – his university companions – with a shared vision. They aimed to navigate the world of startups, leveraging their collective intellect & expertise in AI, Machine Learning, and Computer Vision.

Since then, BroutonLab has been instrumental in an array of notable projects including crop yield prediction for Bloomfield Robotics, color analysis model for New York University, and ML model implementation for Cornell University.
Today, BroutonLab has matured into a team of thirty professionals spread across Israel, Bosnia, and Georgia. United by their passion for startups and technology, they identify as a 'startup factory'. Their mission is to be an end-to-end solution provider in the  development of data-driven products in the ever accelerating world of AI.
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machine learning
deep learning
computer vision
backend development
artificial intelligence
machine learning
deep learning
computer vision
backend development
artificial intelligence
How it started
Clients
Eisengard
Development of a user-friendly web platform that enables data analysis and insight extraction without coding. It features a versatile canvas for building data processing pipelines through drag and drop. BroutonLab also developed an optimized backend-part responsible for serving diverse ML models for predictive analytics and data clustering.
Blueprint Stats
Computer vision system that facilitates basketball player analysis and statistics collection, such as the number of attempted and successful shots. This data aids professional athletes and their coaches in enhancing training productivity.
Yogi
Facilitating scalable collection of client feedback from various sources. Utilizing deep learning for sentiment analysis and showing them on intuitive dashboards. This enables brands to better comprehend their clients' experiences with their products.
Work with BroutonLab

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