German synthetic data company simmetry.ai has raised €330,000 from NBank through the High-Tech Incubator (HTI) accelerator program to expand its AI training platform for computer vision applications.

Founded in 2024 as a spin-off from the German Research Centre for Artificial Intelligence (DFKI), simmetry.ai generates photorealistic, fully annotated synthetic data across multiple sensor modalities to train computer vision models. The platform targets agriculture, food production, and industrial sectors, supporting tasks like semantic segmentation, object detection, and 3D pose estimation.

The company addresses a critical bottleneck in AI development: the time-consuming and costly process of collecting and preparing diverse real-world training data. By generating synthetic images across controlled conditions and edge cases, simmetry.ai aims to augment real datasets and improve model robustness.

Current applications include precision weed control, food quality inspection, and industrial monitoring. CTO Anton Elmiger noted that agriculture was chosen as an initial focus due to its technical complexity and impact potential, where reliable crop monitoring systems are often limited by insufficient training data.

The funding will support development of a scalable platform enabling AI developers to generate customized training data, reducing time and costs for building computer vision models in data-constrained environments.