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eFind Infrastructure

Autonomy Infrastructure

Our autonomy direction is therefore not ‘build a car company, then a drone company, then a boat company.’ It is to understand which capabilities can be shared safely across machines that move through the physical world.

VISION
The question

The physical world does not have an Undo button.

Road, air, water and space are very different environments. What they may share is an underlying stack of perception, maps, communications, identity, security and intelligence.

Our autonomy direction is therefore not ‘build a car company, then a drone company, then a boat company.’ It is to understand which capabilities can be shared safely across machines that move through the physical world.

Safety-critical behaviour must continue to function when connectivity is degraded or unavailable. A future eFind vehicle should never need permission from a distant data center to avoid a tree.

Build what matters. Partner where it is better.

Autonomy Infrastructure
What we are exploring

Capability below the interface.

Infrastructure becomes strategic when it improves resilience, economics, performance or the ability to build something otherwise impossible.

LOCAL

Local intelligence first for safety

Critical perception and control need resilient on-device or on-vehicle capability.

GLOBAL

Network intelligence where it adds value

Fleet learning, maps, planning and updates can benefit from larger shared systems.

TRUST

Identity + permissions for machines

Autonomous systems will need clear authorization, software provenance and auditable control boundaries.

SIMULATION

Fail in software before reality

Rare, dangerous and edge-case scenarios belong in simulation and testing long before they belong near people.

The standard

Enormous capability. The lightest practical footprint.

The objective is not to make infrastructure invisible by ignoring its consequences. It is to account for land, energy, water, materials, noise, supply chains and decommissioning as part of the system we are actually building.

Infrastructure for machines

Autonomous systems need more than intelligence inside the vehicle.

Maps, positioning, communications, charging, maintenance, fleet control, remote assistance and physical operating environments all shape whether autonomy works outside a test track.

Charging changes routes

Energy availability, dwell time and charger reliability become operational constraints for electric fleets. The best route is occasionally the one with somewhere to recharge.

Remote assistance needs boundaries

A fleet may need human support for unusual situations, but remote operators should not become invisible full-time drivers propping up a supposedly autonomous system.

Infrastructure can simplify the vehicle

Better maps, dedicated pickup zones, smart intersections or well-designed vertiports can reduce the amount of ambiguity a vehicle has to solve alone.