UNLEASH
YOUR
MACHINES
What if machines learned about the world like we do? Not in pixel space, not in latent representations, but from features in 3D space? Much of today’s overhead and manual interventions simply disappear — and learning and execution gets faster, more efficient, and more accurate.
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SPATIALLY
SUPERHUMAN
MORE
EFFICIENT
MORE
EFFICIENT
Repurposed language models (transformers) and 2D neural networks (CNNs) don’t scale in the physical world.
Repurposed language models (transformers) and 2D neural networks (CNNs) don’t scale in the physical world.
MoreSight is built for vision-led applications, featuring a novel neural architecture that exploits 3D geometry. These canonical networks use 1000s of times less compute, memory, and power — making perception radically more efficient and effective.
MORE USE
CASES
Ideal performance across
all autonomous use cases
