HAAS Alert, a leading automotive alert startup, has raised $5 million in funding to expand its Safety Cloud platform nationally. The funding round was led by R^2 and Blu Ventures, with participation from other investors such as UrbanUs, TechNexus, Ride Ventures, Stacked Capital, Techstars, and Gramercy Fund.
The startup provides a platform with real-time safety alerts to reduce the risk of collisions between vehicles and connected infrastructure (V2X). Safety Cloud’s mobile-based sensor and prediction technology work on any vehicle on the road including fire trucks, ambulances, police cars, and buses. Since its launch, more than 1 billion Safety Cloud alerts from 750 agencies and public organizations have been handled through the platform, aiming at reaching 10 billion driver safety alerts in the next year
Managing Director at R^2, Jeff Eggers believes that investing in HAAS Alert is in line with a commitment to developing a high-risk backup solution. He explained further by stating:
“HAAS Alert is a rare kind of company, building truly innovative and disruptive technologies that are solely focused on making the world a safer place. We’re proud to invest in a company so dedicated to protecting public safety professionals and their communities.”
The automotive alert startup’s mission is to build smart solutions to reduce risks for vehicles on the road. At present, Safety Cloud is considered to be the standard for road and emergency vehicle manufacturers and has already been connected to thousands of vehicles. The company’s founder and CEO, Cory Hohs stated:
“We’re celebrating the start of an exciting new chapter at HAAS Alert, with the goal of connecting vehicles everywhere for roadway safety. We’ll continue to measure our success the same way we always have: by the trust of our customers, and the value of the safety services we can deliver.”
Safety Cloud’s minimum hardware requirement has allowed it to become increasingly popular among automotive manufacturers. Not only has the technology significantly supported several agencies but it also has been integrated into intelligent applications involving predictive modeling and coordination.