Augury secures $75M at $1B Valuation to expand AI-Powered Factory Maintenance Solutions

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Augury, an industrial AI startup specializing in machine health monitoring, has secured $75 million in Series F funding, pushing its valuation past $1 billion.

The round was led by Lightrock, with participation from Insight Partners, Eclipse Ventures, Munich Re Ventures, Qualcomm Ventures, Lerer Hippeau, and Qumra Capital. The company expects to close the round at $100 million in the coming months.

AI-Driven Machine Health Monitoring

Augury’s AI-powered sensors analyze vibrations, sound, temperature, and other factors to detect:

  • Potential machine failures before they occur
  • Root causes of malfunctions
  • Real-time recommendations for factory workers

CEO Saar Yoskovitz emphasized Augury’s industry advantage:
“We’ve amassed the world’s largest dataset of mechanical signals—over half a billion hours of machine operations. If you have a pump in your factory, chances are we’ve analyzed 20,000 similar ones before.”

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Expanding Enterprise Adoption

The firm’s technology is already used by major manufacturers, including:

  • PepsiCo
  • Nestlé
  • Dupont
  • Energy firms via a partnership with Baker Hughes

Since its last funding round in 2021, Augury has 5x its revenue as industries prioritize predictive maintenance to minimize costly downtime.

Addressing Labor Shortages & Sustainability Goals

With 80% of its deployments in legacy factories, Augury helps companies extend the lifespan of existing equipment, aligning with green manufacturing initiatives. The company’s AI also helps compensate for labor shortages, as experienced factory workers retire.

What’s Next?

With this latest funding, the company plans to:

  • Expand its AI capabilities for industrial automation
  • Scale its deployments across factories worldwide
  • Grow its data-driven maintenance ecosystem

As manufacturers push for more efficient, AI-powered factory operations, Augury is positioning itself as a key player in the future of industrial automation and predictive maintenance.

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