Simmetry.ai, founded in 2024 as a spin-off from the German Research Centre for Artificial Intelligence (DFKI), has secured €330,000 from NBank, the investment and development bank of the German state of Lower Saxony.

Focus on synthetic data

The company develops a simulation platform that generates photorealistic, fully annotated synthetic data for training computer vision models. Its current focus includes agriculture, food and industrial sectors.

The platform supports tasks such as semantic segmentation, object detection, 3D pose estimation and regression. It is aimed at computer vision engineers and AI developers working in areas such as robotics, autonomous machinery, and quality inspection.

Addressing the data bottleneck

Simmetry.ai aims to address what it describes as a key data bottleneck in AI development. A significant portion of effort in building AI models is spent on data collection and preparation, particularly in industries where capturing diverse real-world scenarios is costly or difficult. Its synthetic data approach is intended to augment real-world datasets and improve model robustness by generating photorealistic images across controlled conditions.

The technology is being applied to use cases including precision weed control, quality inspection in food production, and AI-based monitoring in industrial environments.

Scalability and future

With the new funding, the company plans to develop a scalable platform that enables AI developers to generate photorealistic, fully annotated training data tailored to specific use cases, with the aim of reducing the time and cost required to build robust computer vision models in data-constrained environments.