Everyone measures robotaxi progress in miles driven. Almost nobody measures the hours the vehicle spends not driving. George Kalligeros, co-founder and CEO of Aseon Labs, is building a robot that compresses a depot into a single parking space. When a robotaxi drops below its charge threshold, it leaves the zone it is earning in, drives three to five miles to a depot, queues, gets serviced, and drives back. In San Francisco, a compact city with unusually good infrastructure, that is roughly two hours out of service, and it happens several times a day. The driving stack is fully autonomous. Everything around it is still humans, real estate and deadhead miles. Aseon's answer is a six-metre box that occupies one charging bay, holds two six-axis robotic arms, and completes a reset in twenty to thirty minutes: inspection, charge, interior clean, item retrieval, data sync and reboot. George is unusually direct about what version one does not do. No exterior wash. No sensor detailing. Anything genuinely unpleasant goes back to the depot. Daniel Abreu Marques presses on the parts that decide whether this is a business or a demo: why Aseon operates a network instead of selling boxes, how the project-company and asset-backed financing model is designed to pull AV operators into owning part of their own infrastructure, and why a pod needs only about five resets a day — roughly 10% utilisation — to break even. The wider argument is the one this show keeps returning to. If more than half the cost of a robotaxi service sits in infrastructure and operations rather than in the driver, then autonomy economics are settled off the road, not on it. And once cities start tendering licences with a cap on vehicle numbers, "drive somewhere cheaper to charge" stops being a strategy. As George puts it: the infrastructure has to meet the vehicle, not the vehicle be taken to the infrastructure just because it drives itself. Plus: what four years at Tier taught him about who you can actually incentivise, why Europe's density makes it the natural market for this product, and why he is building the company in California anyway. TIMESTAMPS 0:49 - Introduction 1:26 - What Aseon is, and what an operator actually buys 1:52 - Inside the box: one bay, two robotic arms 2:41 - A 20-30 minute reset, bounded by charge rate 3:29 - What it replaces: two hours out of service, several times a day 4:50 - What they found inside real AV depots 5:31 - A third of the fleet offline at any given time 6:44 - Four years at Tier, and who you can actually incentivise 7:50 - Which jobs version one does, and which it refuses 9:47 - Interior resets: the 90% a robot can close out 10:55 - Getting power into a dense-city parking bay 12:00 - One pod, many platforms: ID Buzz down to Cybercab 13:55 - Orchestration: no queuing, just-in-time only 14:51 - When the pod fails with a vehicle inside 15:52 - Why Aseon runs a network instead of selling boxes 18:07 - How operators pay, and what makes it bankable 19:08 - Five resets a day: the utilisation math 21:02 - Where the $10M goes, and what 2027 has to prove 21:38 - $50M a metro: from venture equity to asset-backed debt 22:48 - Movable, permittable, live in eight weeks 23:55 - Lyft, Avis, Move: why route into a third-party network 25:20 - What stays in-house 26:14 - Are AV depots the new data centres? 27:39 - Is the cost really decided off the road? 28:55 - Curb space, cities and the traffic externality 30:53 - Europe: why build in the US, and when Aseon arrives here 32:52 - The one metric for the next twelve months
