TENSORWORLD AI

Real-World Data for Physical AI

GPS-grounded synthetic data to train drones
and the next generation of Physical AI.

invest@tensorworld.ai

Matthieu Chopin Pierre Bails

The problem

Manual data collection doesn't scale.

Physical AI needs millions of labeled frames across thousands of environments. Capturing and labeling them by hand can't get there.

  1. 01

    Expensive

    Field campaigns and annotation cost millions per dataset.

  2. 02

    Slow

    Capture and labeling take months. Models can't wait.

  3. 03

    Incomplete

    Edge cases, rare events and adverse weather stay under-sampled.

  4. 04

    Restricted

    Regulated zones and private locations can't be entered.

Our approach

Synthetic data, done right.

A single engine that turns real geospatial data into training-ready worlds, anywhere on Earth, on demand.

  1. 01

    Everywhere

    Global real-world geo coverage. Any city, any biome, any coordinates.

  2. 02

    No overhead

    API-first. Prompt a scenario, get labeled sensor data. No pipeline to build.

  3. 03

    Scalable

    Infinite scenarios, edge cases and weather conditions, on tap.

Multi-modal outputs

Every sensor aligned. Every pixel labeled.

Pixel-perfect ground truth, auto-generated by construction. No annotators, no calibration drift.

Depth map, grayscale rendering of the same drone-view scene Near-infrared map of the same scene Thermal heat map of the same scene Semantic segmentation of the same scene with color-coded classes

Where we play

The only GPS-grounded, API-first synthetic data platform in Europe.

Competitive positioning quadrant A two-axis quadrant chart: real-world grounded vertical axis, API-first horizontal axis. TensorWorld AI sits alone in the top-right quadrant. Competitors are anonymized as gray dots. REAL-WORLD GROUNDED ABSTRACT FRAMEWORK / MANUAL API-FIRST / AUTOMATED Tensor World AI
Competitors anonymized. Source: internal analysis, 2026.

Team

Built by operators who have shipped 3D at scale.

Let's build the data layer for Physical AI.

invest@tensorworld.ai