ROBOTICS AI NEEDS

BETTER TRAINING DATA

Are you ready for the Future? - Build on SYNTHETIC DATA

Use-Cases

Scratches and Quality Control

Surveillance and Security

Electronics

Pallet Handling

Underwater and Underground

Candy

Benefits of Synthetic Data

Full Control

Synthetic datasets offer a transformative advantage in AI development by providing complete control over the data generation process. Unlike real-world data, which is often limited, biased, or difficult to annotate, synthetic data is perfectly labeled, infinitely scalable, and highly customizable.

Pixel Perfect Annotation

SCAIPIPE delivers pixel-wise annotations with unmatched precision, enabling the creation of highly detailed semantic and instance segmentation datasets. Every object in a scene—no matter how small or complex—is labeled down to the exact pixel, ensuring flawless ground truth for training vision models in tasks like object detection, defect analysis, and scene understanding.

Better Data Generation

We believe there are no bad machine learning models—only bad data. Even the most advanced architectures can't perform well if trained on noisy, biased, or incomplete datasets. That's why we focus on data-first development, empowering teams to create clean, balanced, and highly targeted synthetic datasets that unlock the full potential of their models.

Privacy

SCAIPIPE ensures privacy by design in computer vision applications involving human figures, thanks to fully synthetic data generation. Unlike real-world data, synthetic datasets are privacy-safe by design — they contain no personal or identifiable information, eliminating the need for complex consent or anonymization procedures. SCAIPIPE creates hyper-realistic human models and scenes entirely from simulation.

Compliance

Synthetic data offers a powerful advantage for AI development under the EU AI Act by reducing regulatory risk and simplifying compliance. It is easier to meet the EU AI Act's strict requirements on data governance, risk management, and transparency, particularly for high-risk AI systems. By using synthetic data, organizations can accelerate development while ensuring that their AI models are built on legally robust, ethically sound foundations.

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Scandinavian AI Laboratory

MAKE ROBOTICS AI ACCESSIBLE AFFORDABLE AND ENERGY EFFICIENT

In the dynamic world of autonomous technology, SCAILAB AB focuses on innovation, driven by a deep understanding of the challenges faced by autonomous systems. Rooted in this understanding is our commitment to revolutionizing AI training infrastructure for behavioral AI in autonomous systems.