Reliable Robotics has raised $160 million in new funding to support the deployment and production of its Reliable Autonomy System, the autonomous aircraft systems company announced Tuesday.
What Will the Funding Support?
The company said the capital will be used to scale production and accelerate deployment of its Reliable Autonomy System, or RAS, which is designed to enable fully automated aircraft operations. Reliable Robotics also plans to grow its workforce and broaden its production footprint.
“Aviation is vital to our economy and national security, but to meet demand it needs to be able to scale safely,” said Robert Rose, co-founder and CEO of Reliable Robotics. “Automation eases constraints, enabling us to realize greater levels of throughput at even higher levels of safety.”
What Is the Reliable Autonomy System?
The Reliable Autonomy System is the first aircraft automation technology designed to be certifiable by the Federal Aviation Administration for fully automated operations. Built to integrate with existing aviation infrastructure and certified aircraft, the system functions without requiring changes to the National Airspace System for commercial use. The platform aims to prevent the leading causes of aviation accidents while enhancing accessibility and connectivity for both military and commercial sectors.
Who Led the Financing Round?
Nimble Ventures led the funding round, with follow-on investment from Eclipse, Lightspeed, Coatue and Pathbreaker Ventures. The round also drew new investors, including Island Green Capital, Socium Ventures, AE Ventures, RTX Ventures, Presidio Ventures, UP.Partners, KAS Venture Partners, What If Ventures, Calm Ventures, Gaingels and Mana Ventures.
Reliable Robotics Expands Federal Partnerships
In parallel with its funding efforts, Reliable Robotics has strengthened its collaboration with federal agencies. The Department of Transportation and the FAA selected it for the Advanced Air Mobility and eVTOL Integration Pilot Program. It also secured a contract from the FAA to conduct in-flight testing of its detect and avoid system.
