Next Limit works on the creation of images using the unbiased approach to the simulation of light; it is for this very reason that they have been recognized for their ‘’ground-truth’’ render engine: the trendsetter in the production of photorealistic images.
The quality of our technology also permits us to lead the exploration of the limits of visualization: from using predictive rendering as an essential tool in agile prototyping and product design, to its use in the production of large datasets of images for computer vision and training of Artificial Intelligence.
The time of photorealistic rendering is upon us. The new generation of GPUs, of denoiser tools based on machine learning and the synergies with interactive motors (for videogames and VR experiences) massively accelerates the production times of images indistinguishable from reality, favouring the use of such technology in new sectors, aside from audiovisual production, but also in industrial settings.
In the same way, the use of machine learning techniques gives an impulse to the procedural creation of digital materials, to the generation of virtual environments and to the improvement of rendering in specific situations (large scenes, multiple points of view…). This is how Next Limit is at the forefront of the investigation and development of software for multiple industries: from architecture, interior and product design to the world of interactive visualization of networks and large virtual settings.
Next Limit announces ANYVERSE, a high-confidence synthetic data production technology for the autonomous vehicle industry
Next Limit, announced its new, cloud-based platform for analysis and visualization of massive, complex graphs.
Next Limit was invited to the Paris Air Show 52nd edition, participating in the Computing & Artificial Intelligence booth, inside the Paris Air Lab.
Digital Simulation The growing process of digitalization, machine-to-machine communication and automation is paving the way for a new revolution: that of the so called 4.0 Industry. It is anticipated that the inclusion of simulation andRead more