Superpose
Pre-seed · 2026

Signal Foundation Models.

A new modality for AI, alongside vision and language.

§ 1The world we live in

Every space on Earth is full of wireless signals. AI cannot yet read them.

Phones, cars, satellites, drones, factories, hospitals, homes. Every connected device on Earth communicates through electromagnetic signals: radio, Wi-Fi, cellular, radar.

No foundation model today maps wireless data to a structured understanding of an environment: what is present, what is moving, what is anomalous. The information is in the signal. No model has been trained to read it.

Language had its foundation-model moment. Vision had its foundation-model moment. The wireless world has not.

§ 2The bet

Language. Vision. Signal.

Superpose builds AI that reads wireless and radar activity, alongside text and pictures.

The architectures and training methods behind modern foundation models generalize beyond language and vision. Applying them to wireless data is a question of execution, not invention.

Language
text, speech
Vision
cameras, imagery
Signal
wireless, radar
Foundation Model
Scene-level understanding
Figure 1. Three modalities into a unified model. Wireless interpretation shares architectural foundations with language and vision.

The same model that reads the wireless world can also act on it, and verify the action worked.

§ 3Why now

The window is open.

Sensors
The sensors required to capture wireless signals are now standard hardware in phones, vehicles, and access points. Coverage is global; unit cost has collapsed.
Technology
Foundation-model methods are not specific to images and text. The remaining work is data, scale, and engineering.
Demand
Telecom, autonomy, aerospace, and national security all require real-time understanding of the physical environment. None of them can get it from cameras alone.
Field
No major lab has built one yet. The category is unnamed. New categories produce new leaders.

§ 4What it unlocks

One signal model. Many real-world decisions.

Wireless is the missing input. It reveals motion, presence, and electrical change where cameras, pressure sensors, and manual inspection miss context.

Industrial
Machines create signal patterns before failure. Detect drift in motors, pumps, and bearings before downtime.
Automotive
Cabin radar reads wireless reflections. Detect presence and breathing-like motion in darkness, under blankets, or when cameras lose line of sight.
Healthcare
Room radar reads movement without filming. Detect falls, bed exits, breathing motion, and long inactivity in private spaces.
Safety
Wireless keeps scene awareness when vision breaks. Track people, machines, and hazards through dust, smoke, darkness, rain, and occlusion.
Insurance
Electrical systems reveal risk before loss. Detect wiring hazards early, guide repair, and verify the risk changed.

§ 5The company

Building on a long horizon.

Superpose was founded in 2025 by machine learning and systems engineers from Apple and Meta. The company is pre-seed and building in stealth.