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About Us

Physical AI requires something the internet can't provide: fresh, structured data about the real world. We built the full stack — from the sensor to the API — to deliver it.

Our Scale

0%Global Road Coverage
0MTotal Km Driven
0MUnique Road Km

The Problem

Why data for Physical AI is so hard

Training a language model is hard, but the internet gives you a corpus. Physical AI is a fundamentally different problem: the data doesn't exist until someone drives every street, walks every path, processes every frame, and delivers it as structured, geo-referenced ground truth.

There is no “internet of the physical world” to scrape. The real world changes constantly — a one-time mapping pass is never enough.

Most companies attempting this either build expensive first-party fleets that can't scale, or rely on commodity cameras that can't produce the quality. We took a different approach: purpose-built hardware deployed at massive distributed scale, with a software stack designed from day one to close the loop from capture to API.

Our Hardware

The Bee

If you want the right data, you have to build the right instrument. The Bee is a programmable sensor platform designed from scratch to capture and structure data from the physical world.

The Bee — purpose-built dashcam for Physical AI

The hard part of building a sensor isn't any single component — it's getting all of them to work together in conditions you didn't anticipate. We chose every element of this device — optics, IMU, GPS, onboard compute — to serve one objective: maximizing the quality of structured spatial data under real-world constraints.

This is our fourth generation. Each version was shaped by what the previous one taught us — billions of images worth of failure modes that don't show up in simulation.

Four generations of purpose-built hardware
Gen 1
Proof of concept

Validated the distributed collection model with off-the-shelf sensors

Gen 2
Custom optics

Purpose-built lens and sensor stack for mapping-grade imagery

Gen 3
Edge compute

On-device ML for real-time frame scoring and selective upload

Gen 4
The Bee

LTE connectivity, advanced IMU fusion, and hardened enclosure for global deployment

The Platform

From lens to API

We built every layer of the technology stack — from the software running on cameras in contributors' vehicles to the APIs that serve data for physical AI use cases and beyond.

1

Capture

Purpose-built dashcams with GPS/IMU fusion capture high-resolution imagery, video, and sensor data across millions of kilometers of roads daily.

2

Edge Processing

On-device ML models detect events, record video clips, and classify road features in real time — uploading millions of images and videos daily.

3

Global Network

Contributors across 100+ countries. A planetary-scale sensor network that drives the same roads your customers do, every day.

4

Cloud Pipeline

Imagery, video, and road features flow through geo-referencing, stitching, object detection, and semantic labeling pipelines built for the volume and precision this requires.

5

Structured Layers

Raw data becomes queryable map layers: road surface quality, sign inventories, lane geometry, building footprints — spatially indexed and versioned.

6

Fresh Delivery

APIs and data feeds deliver map intelligence with hours of latency, not months. Bulk exports for training or streaming updates for live systems.

Products

What we offer

The physical world, indexed and delivered.