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Tutor, which is training a frontier robot foundation model and builds AI warehouse robots, raised a $75M Series B led by a16z, taking total funding to $117M (John Werner/Forbes)

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Bites, an Israeli AI platform that delivers personalized training to non-desk employees via messaging apps, has secured $40 million in a Series A funding round. The round, led by PeakSpan Capital, brings the company's total funding to $55 million. PeakSpan Capital's Phil Dur and Charlie Reinkemeyer will join Bites' board of directors.

Founded in 2020 by CEO Eran Heffetz, COO Tal Nagler Almog, and CIO Hagai Horovitz, Bites aims to create short, tailored training materials for frontline workers. The company's platform creates branded training videos within minutes using AI Studio, turning documents and standard operating procedures into content tailored to a company's specific needs. These "Bites," lasting up to 90 seconds, combine a short video, a question, a summary, and a discussion.

Bites delivers content through employees' preferred channels, such as WhatsApp, SMS, Microsoft Teams, and Slack, or through a simple link. The platform supports over 150 languages, allowing employees to switch languages with a single tap. Each lesson, or "Bite," is designed to last no more than 90 seconds, making it easy for frontline workers to access training on-the-go.

The goal is to provide workers with role-specific information when they need it, rather than relying on formal training sessions. Bites reports high engagement rates, with customers typically seeing engagement rates above 90% within three weeks. The company also boasts a net revenue retention of 161%, indicating that revenue from existing customers has grown over time.

Heffetz, a former restaurant owner in Tel Aviv, founded Bites after encountering challenges with traditional training methods. He believes that effective business performance relies on the knowledge and support of frontline employees, and Bites aims to provide that support directly to their hands.

Written by urgent.news from Techmeme's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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