Founded in 2024 as a spin-off from the German Research Centre for Artificial Intelligence (DFKI), simmetry.ai develops a cloud-based simulation platform that produces photorealistic, multi-sensor synthetic data for computer-vision training. The system supports semantic segmentation, object detection, 3D pose estimation and regression, giving AI developers and robotics engineers a way to supplement scarce real-world datasets. Initial industry targets include precision weed control in agriculture, quality inspection in food production and industrial monitoring, all areas where diverse training data are expensive or difficult to capture. By generating images across tightly controlled conditions and edge cases, the platform aims to cut time and cost while boosting model robustness. The company positions its technology as a solution to the “data bottleneck” that often slows AI deployment in complex environments. With fresh capital, simmetry.ai intends to scale the platform and offer tailored data-generation pipelines to customers. No revenue or user metrics have yet been disclosed.

Total raised

$0M

Funding rounds

1

Latest round

Equity

Latest activity

Feb 2026