The future of Physical AI for mobility will be transformative: modular vehicles that can autonomously reconfigure themselves. Anywhere.
At AV Exit, we’re not building vehicles. We invented the transformation behavior IP. Swap by AI™ defines a new approach to modular vehicles for the autonomous age, conceptually based upon a longer-life Power Platform (chassis, battery, motors, and wheels engineered for 20+ years of service, plus AI compute and cameras to drive autonomously when the pod is detached) and a separable Passenger Pod (the customizable cabin, refreshed every 3 to 4 years to keep pace with advancing AV compute and changing consumer needs).
The Swap by AI™ Family
Swap by AI™ • Enter by AI™ • Safe by AI™ • Charge by AI™ • Exit by AI™
Each behavior is described in The Swap by AI™ Advantage section below. Patent status detail in the Patent Portfolio summary.
Swap by AI™ in NVIDIA’s ecosystem: AlpaDreams can simulate it. Alpamayo can reason about it. DRIVE AGX Thor can embody it. DGX can refine it through post-deployment fleet data. The future is now.
Physical AI is artificial intelligence that doesn’t just describe the physical world but acts on it: perceiving conditions, reasoning about response options, and executing physical change. NVIDIA’s stack (Omniverse and Cosmos for simulation, DRIVE AGX Thor for embodiment, DGX for refinement) has made the compute foundation possible. The behaviors that vehicles will perform under that compute remain to be defined.
AV Exit’s IP defines them. Not as software running on top of NVIDIA’s stack. As patented and patent-pending architectural definitions for a new approach to modular autonomous vehicles for the Autonomous Age.
FIVE SCENES FOR FIVE BEHAVIORS
Picture an autonomous vehicle pulling into a depot, detaching its cabin onto temporary supports, accepting a different cabin configuration, and driving away. Without human intervention. Without specialized infrastructure. On a flat surface that didn’t need to be prepared for the operation. That’s Swap by AI™.
Picture a vehicle whose passenger doors open and close not via dedicated motors but via the same wheels that drive it down the road, eliminating an entire mechanical subsystem and its lifetime failure modes. That’s Enter by AI™.
Picture a vehicle that, in the 200 milliseconds before an unavoidable impact, partially separates its cabin from its chassis to attenuate the collision forces transmitted to occupants. That’s Safe by AI™.
Picture a parked vehicle whose cabin detaches and tilts onto support legs, revealing the platform’s photovoltaic surface to the sun while the cabin remains usable for working, sleeping, or storage. That’s Charge by AI™.
Picture a vehicle whose AI detects an unavoidable side-impact and, instead of bracing for it, ejects the entire passenger pod along a pre-computed safer trajectory. That’s Exit by AI™.
THE ALPAMAYO OPEN PORTFOLIO
NVIDIA’s Alpamayo, the autonomous-vehicle reasoning model announced by Jensen Huang at CES 2026 and now in production deployment on the Mercedes-Benz CLA, demonstrates that AVs can be trained to reason from a few million simulation miles rather than billions of real-world miles. NVIDIA’s AlpaDreams, announced by Sanja Fidler at GTC 2026 in March, generates the photorealistic simulation environments in which Alpamayo’s policy decisions get tested and refined in real time, with text-prompt scenario authoring that lets developers describe what should happen and watch the AV respond.
AV Exit’s IP is the missing content for this open portfolio. Transformation behaviors have no real-world fleet data because no fleet performs them yet. They cannot be learned from observation. But they can be defined architecturally, rendered as prompted scenarios in AlpaDreams, and used to train Alpamayo’s reasoning. AV Exit’s patents define the architecture. AlpaDreams renders the scenarios. Alpamayo learns the behaviors. DRIVE AGX Thor executes them on modular vehicle hardware.
THE STRATEGIC MOMENT
The EV transition has been disrupted by policy shifts, tariff regimes, charging infrastructure gaps, raw materials volatility, demand shortfalls, and write-downs across multiple legacy automakers. The industry pattern is now visible: incremental EV strategies face structural headwinds that no single OEM can solve on its own timeline. The strategic question for an OEM facing that pattern is not how to fix EV-1.0. It’s how to leapfrog past it into AV Level 4 (hands-off, eyes off), and beyond.
Physical AI is the leapfrog. It is built to move. Modular autonomous vehicles built on NVIDIA’s compute stack and AV Exit’s transformation behavior IP arrive in a category that didn’t exist a year ago: vehicles whose architectural moves create capabilities no unibody EV can mechanically perform. An OEM committing to this approach isn’t catching up on EVs. It’s defining the next category while competitors are still solving the last one.
NVIDIA supplies the platform. AV Exit supplies the moves. The OEMs who deploy both lead mobility in the autonomous age while their competitors are still trying to finish the EV transition.
VALIDATION PATHWAY
The NVIDIA-Hyundai partnership announced October 2025 anchors Korea’s National Physical AI Cluster, with HMG and the Korean government co-investing approximately $3 billion in facilities and computing infrastructure. The partnership encompasses Kia, whose Platform Beyond Vehicle line ships modular platforms with swappable pods. Kia’s planned Easy Swap system requires dedicated conversion centers. Swap by AI™ enables autonomous coupling anywhere, no depot required. Enhanced consumer convenience. Reduced OEM infrastructure cost.
These concept renderings illustrate our patented technologies. The Swap by AI™ family of transformation behaviors can be integrated with any manufacturer’s modular designs.
VERSATILITY
A single Power Platform serves fundamentally different use cases across its life: passenger, cargo, work, family, recreation. Each via a different pod. Swap by AI™ enables autonomous pod exchange anywhere a flat surface exists. No dedicated swapping station required. As Dave Carroll puts it: mobile office for the week, pickup pod for the weekend.
SAFETY
Modular AVs gain crash-response options that unibody vehicles mechanically cannot perform. Safe by AI™ executes tactical partial separation under collision conditions, with optional electromagnetic impact absorption attenuating remaining forces. Exit by AI™ deploys the pod away from imminent collision along an AI-coordinated safer path. Both are deliberate vehicle-initiated responses, extending the vehicle’s response toolkit beyond what crumple zones and steering avoidance alone can offer.
VALUE
A Power Platform engineered for 20+ years amortizes the costliest component (the battery) across multiple cabin generations. OEMs earn recurring revenue from pod refresh cycles every 3 to 4 years rather than from one-time vehicle sale. Consumers keep the platform for decades and refresh the cabin to keep pace with advancing AV compute. NVIDIA’s silicon presence scales accordingly: Thor count per vehicle increases from 2 (unibody) to 4 (Power Platform plus Pod), with additional Thors arriving as pods refresh across the platform’s lifecycle. Enter by AI™ uses the platform’s own wheels to actuate pod doors, removing dedicated door motors and the associated parts count.
SUSTAINABILITY
Charge by AI™ reveals the Power Platform’s photovoltaic surface when the pod separates, with AI coordinating timing, positioning, suspension tilt, and energy transfer. By exposing surface area normally covered when assembled, this transformation behavior effectively multiplies the vehicle’s solar collection capacity. The architecture reduces lifetime resource consumption: one durable platform serves multiple cabin generations rather than each generation requiring a complete new vehicle. The battery, the heaviest and most resource-intensive component of any EV, gets amortized across decades rather than scrapped with the rest of the vehicle.
PATENT PORTFOLIO
Five branded behaviors anchor a 13-application portfolio.
Swap by AI™ – U.S. Patent 12,515,705 (issued January 2026)
Enter by AI™ – U.S. Patent 12,637,028 (issuing May 26, 2026)
Exit by AI™ – U.S. Patent 11,618,474 (issued April 2023)
Safe by AI™ – Provisional patent application filed April 2026
Charge by AI™ – Provisional patent application filed April 2026
Additional applications cover specific implementation methods. International filings active in PCT, China, Europe, and South Korea.
Founded in 2022 in Grantsburg, Wisconsin, AV Exit, LLC owns the Swap by AI™ family of patented and patent-pending transformation behaviors.
DAVE CARROLL, FOUNDER/CEO
Founded RAM Center (FANUC’s multi-year top distributor) in 1986. Forty years of patented invention across industrial robotics, wearable computing, LED lighting, and advanced manufacturing education. Sole inventor of the Swap by AI™ family.
IAN D. CARROLL, PRESIDENT
Leads strategy, partnerships, and acquisition positioning. Background in research and strategy for crisis communications. Engaging NVIDIA, OEM ecosystem partners, and strategic investors for acquisition and partnership discussions.
Swap by AI™, Enter by AI™, Safe by AI™, Charge by AI™, and Exit by AI™ are trademarks of AV Exit, LLC. Protected by U.S. Patents 12,515,705 and 11,618,474, plus U.S. Patent 12,637,028 issuing May 26, 2026, with additional applications pending and international filings active. © 2026 AV Exit, LLC. All Rights Reserved.
