Autonomous vehicle companies cannot collect and validate the rare, dangerous edge-case data needed to prove safety

Autonomous trucking and robo-taxi companies struggle to gather real-world dangerous scenarios (accidents, extreme weather, unpredictable obstacles) required for safety validation, because these events are rare and difficult to capture at scale. Current testing relies on millions of generic miles that don't represent the critical edge cases regulators and insurers demand, leaving companies unable to demonstrate safety sufficiently for deployment approval and liability coverage.