Tractian raises $130 million in Series D funding to enhance its predictive maintenance technology

Tractian, a company that predicts machinery failures in factories and data centers using artificial intelligence and sensors, announced on October 22 that it has secured $130 million in a Series D funding round. The company is now valued at $1.4 billion.

The funding round was led by Sapphire Ventures, with M&G’s Catalyst as a co-lead. Other participants included N47, General Catalyst, Bosch Ventures, 53 Stations, Monashees, Endeavor Catalyst, Norte Ventures, and Y Combinator.

Tractian provides a system that installs proprietary wireless sensors on machinery to monitor their condition. The sensors measure vibration, ultrasound, temperature, and RPM, sending data via a receiver over 4G/LTE networks, which eliminates the need for factory Wi-Fi or IT department configurations.

Ultrasound technology captures early signs of friction and lubrication issues in bearings, allowing for lubrication needs to be assessed based on actual conditions rather than fixed schedules.

The collected data is linked by AI to types of failures such as bearing wear, misalignment, and imbalance in rotation, allowing for diagnostics when compared with historical operational data. Alerts are prioritized based on the severity of failures and the importance of equipment, accompanied by estimated causes and recommended actions. Feedback on whether anomalies have been confirmed or dismissed and results of interventions are returned to the AI, which improves future assessments.

The company’s technology is utilized in over 2,000 facilities worldwide, with clients including major companies such as Eli Lilly, McKesson, Whirlpool, Coca-Cola's bottling facilities, Cummins, and Embraer. The customer base also includes unnamed data centers and government infrastructure providers. Tractian has offices in Atlanta, Monterrey, São Paulo, and Poland, employing over 700 people.

With this funding, the company aims to expand its offerings to manufacturers, data center operators, defense contractors, and utility providers. It cites a Siemens study indicating that the world’s top 500 industrial companies lose approximately 11% of their annual revenue due to unexpected equipment downtime.

Reported by BRIDGE.