3D synthetic data

We start with an in-depth analysis of the customer’s needs. We understand the specific objective for which the 3D synthetic data will be used. This may include training neural networks, simulating scenarios, creating graphical content, or more.

Based on the identified needs, we design the synthetic data generation process. This can include creating 3D models, using generation algorithms, defining data characteristics, and choosing how to distribute the data.

We create or adapt the tools and algorithms needed to generate synthetic data. This phase requires advanced skills in manipulating 3D models, computer graphics and applying data generation techniques.

We implement the data generation process and produce high-quality 3D synthetic datasets. We ensure that the data generated is consistent with the client’s objectives and can be used effectively for the intended application.

We carry out a rigorous validation and quality control process to ensure that synthetic data is accurate, reliable and suitable for its intended use.

If necessary, we help the customer integrate the synthetic data into their workflow or specific application. We also provide ongoing support for any issues or upgrade needs.

We provide detailed documentation on the synthetic data generated and, if requested, offer training to enable the customer to effectively use the data.

We maintain a long-term relationship with the customer and can make improvements to the synthetic data generators as needs evolve.