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Netradyne snags $90M at $1.25B valuation to expand smart dashcams for commercial fleets | TechCrunch

Jan 16, 2025 - techcrunch.com
Netradyne, a California-based startup, is leveraging AI-enabled dashcams to enhance driver safety and reduce crashes for commercial fleets, with a reported 50% reduction in accidents. The company recently raised $90 million in a Series D funding round, led by Point72 Private Investments, at a pre-money valuation of $1.25 billion. This funding will support Netradyne's expansion into Ireland and Japan, as well as product improvements and go-to-market investments. The startup's dashcams, equipped with inward and outward-facing cameras, use edge computing to provide real-time notifications for distracted or dangerous driving and reward safe driving behaviors. Netradyne's data, accumulated over more than 18 billion miles, has contributed to a 99% accuracy in alerts and improved compliance scores.

Netradyne plans to further invest in generative AI to enhance its Safety Manager Assistant, an AI-powered co-pilot that offers insights through a natural language interface. The company aims to develop foundational driving models focusing on edge cases to support autonomous driving technology, without creating its own AV technology. Instead, Netradyne intends to partner with others, offering its data and insights. The startup's products include a quad-view dashcam and a dual-view camera, with additional options like the Hub-X add-on for more visibility and a driver-monitoring solution to detect drowsy driving. Netradyne emphasizes GDPR compliance and driver privacy, and has experienced 65% growth in the past year, expecting to achieve net profitability soon.

Key takeaways:

  • Netradyne, a California-based startup, provides AI-enabled dashcams to improve driver safety and reduce crashes by around 50%.
  • The company has raised a $90 million Series D at a pre-money valuation of $1.25 billion to expand into Ireland and Japan.
  • Netradyne has accumulated over 18 billion miles of data, achieving 99% accuracy in alerts and 25 million better compliance scores.
  • The startup plans to use its data to develop foundational driving models for autonomous driving technology, focusing on corner-case scenarios.
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