About Braintoy's Rebellious Spirit & Lofty Objective
To make Artificial Intelligence (AI) accessible to everyone!
Everyidea
starts with a problem.
Everyone knows that AI is useful. But why is machine learning complex and expensive?
We made it our mission to solve this problem and make the power of AI accessible.
The result is a production machine learning platform called mlOS.
Unlike other AI platforms that are designed for one-off snowflake modeling,
mlOS empowers developers, teams, and businesses to build, manage, and monitor models at scale.
How Their Mission Started
Braintoy’s founders combined their superpowers…
The Data Dr.
In 2008, Dr. Padma Paul discovered a connection between data processing and model building while working on an 11GB electroencephalogram (EEG) signal and 3D motion data task to process brain signals with many algorithms to find unknown relations among 11 subjects. He found a way to build, store and connect thousands of models that are highly accessible and easily integrated, eliminating repetitive writing, copy and paste of code for other experiments.
Padma Polash Paul
Just like a food truck, I want to create an “AI truck” that contains all the utensils and recipes to make and serve intelligence on any dataset.
The ML Builder
Kwame Asiedu met Padma in 2011.
He was passionate about reducing redundancies in building machine learning such as the drudgery of copying and pasting code, building one-off models and repeating redundant activities. He believed that if AI is supposed to make our lives easier, therefore technologies for building AI should not be complex.
Kwame Asiedu
I want to make AI capabilities accessible to everyone, everywhere in the world.
The Problem Solver
Amit Varma met Padma and Kwame in 2017.
Amit is passionate about technologies that let people solve real-world problems. He had been a technology entrepreneur and also found it tough to use machine learning. He believes that no technology is useful if it cannot be used. That had to change!
Amit Varma
Technology cannot be useful if it cannot be used. I want to simplify AI for everyone.
Theirjourneyis just beginning.
But there are 3 things aboutmachine learningthat they know for certain.
Modeling is about fast experiments
ML does not need to be complex
Work is easy with good tools