Saar Yoskovitz is the cofounder and CEO of Augury which is an Industrial IoT company that brings predictive maintenance to new markets with cutting-edge machine learning and AI technology. The company has raised over $60 million from top tier investors such as Lerer Hippeau, First Round Capital, Insight Partners, Qualcomm Ventures, Pritzker Group, Formation 8, Sound Ventures, Eclipse Ventures, and Munich Re Ventures to name a few.
Welcome to Episode 88 of The VentureFizz Podcast, the flagship podcast from the leading authority for jobs & careers in the tech industry.
For this episode of our podcast, I interviewed Saar Yoskovitz, Co-Founder and CEO at Augury.
Saar is an entrepreneur with a deep level of experience in building hardware and software products.
His current company, Augury, is one of those companies that make you go “wow” when you hear what they do. Their technology automatically diagnoses machines based on the sounds they make. It’s kind of like a Shazam for machines and mechanical diagnostics. They do this by connecting vibration and ultrasonic sensors to smartphones and pairing them with machine learning algorithms.
The company just raised a $25M Series C this January, and have raised over $50M to date.
In this episode of our podcast, we cover lots of topics, like:
-Saar’s background growing up in Israel and his experience working at Intel.
-The story behind Augury, and the aha moment that led to its founding.
-A deep dive into the world of machine diagnostics.
-How Augury got its first early-adopter customers.
-Saar’s experience with raising capital, and what the fundraising process was like.
-Advice for building hardware.
-Plus, a lot more.
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Augury co-founder and CEO Saar Yoskovitz joins Drew Champlin on the Pumps & Systems podcast to talk about the current state and future of predictive maintenance.
Topics include predictive maintenance using Internet of Things (IoT) and artificial intelligence (AI). Companies were slow to adapt to IoT, and Yoskovitz gives insight on how he feels adjustment to IoT and AI will unfold over the next few years based on his company's work.
What is predictive maintenance and how is it different from reactive and preventative maintenance? Yoskovitz shares his insights.
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