scailab.se

Scailab provides a toolchain that uses game engines and simulation to create structured synthetic training datasets for artificial intelligence models in the robotics and automation sectors. This approach allows developers to generate and deploy perception models more rapidly compared to traditional data collection methods. The company's solutions cater to various applications, including bin picking, logistics, textile handling, quality inspection, and operations in underwater, underground, surveillance, and mining environments.

The use of synthetic data offers several advantages, such as reducing the high costs associated with real-world data collection and manual labeling. It also enables the simulation of rare or hazardous edge cases that are difficult to capture in reality and ensures privacy by avoiding the use of sensitive, real-world data. By accelerating iteration cycles, the platform helps shorten the deployment timeline for AI-powered automation from months to weeks. Scailab is a member of the NVIDIA Inception Program, which supports its development of perception technologies.

Keywords: synthetic data, robotics perception, AI training data, simulation, automation, machine learning, computer vision, logistics automation, quality inspection, bin picking, edge case simulation, NVIDIA Inception, perception models, AI development, robotics simulation, data generation, industrial automation