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.
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.