UditVani, Jamshedpur: Proud moment for Jamshedpur.Two IIT Bombay graduates – Sidhant Kabra and Tarush Agarwal – who originally hails from Jamshedpur and got their formal education here were part of a three IIT Bombay graduates team which has been selected for Y Combinator, the world’s most prestigious startup accelerator, which provides $500K in funding and has a rigorous 0.1% acceptance rate.
The third member – Shashij Gupta – belongs to Panchkula in Haryana.
The trio’s solution, already helping companies save hundreds of hours in manual testing, automates the testing of voice agents against real-world scenarios, improving accuracy and efficiency while reducing manual errors.
Voice AI technology is becoming increasingly essential across industries, from customer support to outbound sales.
However, ensuring that voice AI systems perform flawlessly in real-world conditions can be challenging.
Tarush Agarwal highlighted the problem: “We noticed a huge gap in how companies were testing their voice AI. It’s often time-consuming and prone to human error.”
Vocera automates the testing and evaluation of voice AI agents, making it easier for companies to test their agents against simulated scenarios to save time and improve accuracy.
The team hopes to set a new standard for how reliable voice AI systems are evaluated before deployment.
Shashij Gupta explained their solution: “We wanted to solve this by creating an automated system that can test voice agents against a variety of customer personas and give actionable insights, ensuring they respond accurately and effectively.”
Sidhant Kabra highlighted the significance of the opportunity, stating, “Y Combinator is a tremendous opportunity for us to accelerate our growth and bring our voice AI testing platform to more companies worldwide.”
Y Combinator has a history of backing some of India’s most successful startups including unicorns like Razorpay, Groww, Meesho, and Zepto including top global companies like Airbnb and Dropbox.
Cofounders Background:
Tarush developed ultra-low latency systems in quant finance, turning a loss-making trading strategy into a profitable desk with millions in MRR in 3 months.
Shashij authored a highly-cited paper on transformer testing at ETH Zurich and researched on NLP at Google. He has also worked as a quantitative researcher, searching for complex alphas.
Sidhant has advised CEOs at Fortune 500 companies in FMCG and medical devices. He recently scaled an AI edtech startup from 0 to 200K+ users in just 6 months.
All the co-founders are friends from seven years.
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