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Bengaluru-based startup uses deep-tech to decipher human emotions and help brands optimise their products

Bengaluru-based startup uses deep-tech to decipher human emotions and help brands optimise their products Most brands invest large amounts of time and money to create advertisements and attract the audience through sponsored promotions. Incorporating the feedback they get from consumers, they ensure that their content aligns with them on an emotional and relatable level. When 32-year-old Ranjan Kumar was running his previous adtech startup Red Castle from 2012 to 2015, he understood that there could be a way to retrieve users’ emotions, thereby deciphering their preferences and interests. Ranjan Kumar With his new startup Entropik Tech, he decided to use Emotion AI to create a solution that is an easy-fit for any production cycle, a platform that offers valuable subconscious insights and prediction data to brands. “Pre-testing is rarely a part of the process and is done only through traditional techniques like surveys that focus only on the conscious part of the br...
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[Bootstrap Heroes] How 22-year-old Ankit Srivastava generated Rs 45-lakh revenue from his music player app

[Bootstrap Heroes] How 22-year-old Ankit Srivastava generated Rs 45-lakh revenue from his music player app Lucknow-based Ankit Srivastava recalls that creating Android apps appealed more to his college self, than attending classes. And earning some money from it at the age of 20 was an added incentive. Launched in July 8 2014, his music player app La Musique, named after a french phrase meaning 'the music' has had more than 30 lakh downloads and has generated a revenue of Rs 45 lakh. Ankit Srivastava, Founder, La Musique In September 2013, Ankit (22), who did computer science at Jaypee University of Information Technology, was captivated by the music player on his brother’s new Nokia Lumia phone. He tried searching for a similar music player on his Android phone, but couldn’t find one. While scouring Google Play for music players, he ended up seeing thousands of music player apps having millions of downloads. Soon he sensed the opportunity driven by the ...
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Bootstrapped startup Yottaasys all set to rake in Rs 20 Cr revenue for its AI companion for heavy machinery

Bootstrapped startup Yottaasys all set to rake in Rs 20 Cr revenue for its AI companion for heavy machinery Bengaluru-based startup Yottaasys  is all set to ride the wave of industry 4.0 and address the pain points in factories by making machines talk. You ask how? Imagine you’re running a factory and your machines are facing problems because they are functioning independently, individually out of sync with the larger goals of your production line. Their efficiency can certainly be augmented with some sort of connectivity.  One sure-shot solution would be to use the power of AI to change the way the machines work, with industry 4.0 applications. When it comes to AI, in the absence of home-grown technical know-how, most firms approach an established IT service provider – but that would mean large-scale transformation and long-term contracts. This is where Yottaasys offers a key differentiator .  With an IT Services company you would be paying for a lo...
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Ankit chose blogging over a corporate job. Here’s how it paid off

Ankit chose blogging over a corporate job. Here’s how it paid off Blogging is a lucrative job. Ankit Singla is an example of how full-time blogging brings freedom and the ability to make a lot of money. Ankit Singla was 17 when someone introduced him to the concept of MLM (Multi-Level Marketing). He was excited to look at the earning potential. It entailed just convincing two more people to join the programme. This is indeed how MLM companies lure people into signing up. He convinced his mom and borrowed Rs 8,000 from her, promising to return the amount immediately after getting his first income. He became a member of the MLM scheme, and now the task was to find just two others. But for a student like him, it is not easy to find someone in his friends’ circle. Ankit Singla Assuring them of profits, he finally convinced two of his friends to invest in the MLM. Together, they invested Rs. 24,000. It never came back. So now, Ankit not only lost Rs 8,000, but he had to r...
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