We build AI that understands how the world moves.

Today’s models see pixels. Ours sees motion. People, cars, bikes, traffic, robots – all in motion, all in context

SpatioTemporal is building the world’s first LSTM – a Large SpatioTemporal Model – a foundation model for space and time. It doesn't just detect; it predicts.

From driving assistants to digital twins and real-time logistics – this is motion intelligence for the real world.

Pixels are noisy. Coordinates are brittle. We use kinematic tokens – abstracted motion elements capturing speed, direction, rhythm, and intent.

Think of them as the atoms of movement – structured, compressed, and scalable.

Our transformer-style models operate on these tokens to classify, predict, and detect anomalies – on-device or in the cloud.

What LLMs did for language, our LSTM does for motion. It’s a new vocabulary for how things move.

Motion is everywhere – and every industry that depends on it is about to change.

Think mining vehicles that anticipate hazards. Forklifts that learn warehouse flows. Delivery drones that navigate crowds. Robots that move with human-like awareness.

From autonomous fleets to spatial analytics, kinetic simulation to AI-native safety layers – motion intelligence is the missing link.

We’re not adding a feature. We’re building the foundation for intelligent movement – at scale, in real time, across industries.

Your car sees. Cam understands.

Cam is the first product powered by our Large SpatioTemporal Model – a real-time co-pilot that watches, learns, and alerts.

It runs on your phone, no expensive hardware needed. A voice-first, privacy-respecting dash companion that notices what others miss: merging traffic, sudden stops, distracted drivers.

Think of Cam as your AI backseat driver – and the gateway to motion-native intelligence.

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We're not just launching – we're changing how machines move.