Phonely
New accelerator entry · 2024-05-24 · the record
Phonely uses existing call recordings to create a 'AI vocal twin' that can answer customer support calls and match or outperform call center agents. On top of that we've built a Zapier like workflow that lets businesses connect to software or transfer calls just like a person would.
Phonely is a Y Combinator company in the Summer 2024 batch. Its directory entry describes it as: AI call centers. The founders listed are Will Bodewes (Founder/CEO), Nisal Ranasinghe (Founder/CTO) (Y Combinator directory entry, May 24, 2024).
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New accelerator entry · 2024-05-24 · the record
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Phonely uses existing call recordings to create a 'AI vocal twin' that can answer customer support calls and match or outperform call center agents. On top of that we've built a Zapier like workflow that lets businesses connect to software or transfer calls just like a person would. Our platform sits on proprietary deterministic LLM that is both cheaper and more accurate than gpt-4o for call center inquiries.
Phonely lists 15 open roles on its directory entry.
Checked away from the directory entry. What is below does not come from the company's Y Combinator page.
Phonely's AI phone agents answer every call, book appointments, and handle customer support 24/7.
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Will Bodewes is the co-founder and CEO of Phonely. Prior to starting Phonely, he was pursuing a PhD at the University of Melbourne researching applied artificial intelligence applications. Before that, he founded an audio-tech startup that garnished celebrity engagement from Chance the Rapper, the band ASIA and more. During college, he competed in the NCAA's for XC skiing, and was one of the top ultra-endurance cyclists in the world.
Nisal is the Co-founder and CTO of Phonely. With a background in Electronic and Telecommunications Engineering, he worked as a senior engineer in the AI team of a major telecommunications company for nearly three years, where he led projects on advanced AI solutions. Nisal then pursued a PhD at the University of Melbourne, focusing on explainable AI and AI for healthcare.
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Example from a real report (our sample on Target): “Target eliminated approximately 1,800 corporate positions, with around 1,000 employees receiving layoff notices and the remainder accounted for by eliminating open roles.” Source: NBC News
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