SORDI.ai is now GREEN!

GREEN PHYSICS AI . THE ULTIMATE METADATA FOR INDUSTRIES

SORDI.ai GREEN Physics AI

Experience the power of innovation with GREEN Physics AI and Metadata, revolutionizing the way we monitor, analyze, and optimize assets for maximum performance and efficiency!

GREEN Physics AI simulates industrial assets’ life cycles, including all key parameters important for SUSTAINABILITY.

Using NVIDIA Omniverse, we simulate thousands of assets and their dependencies simultaneously, enabling the estimation of small decision impacts on the overall system in the next few years.

Metadata for Industrial Assets

GREEN Physics AI metadata is a game-changer in the industrial sector, providing real-time insights into asset conditions and usage. The metadata is processed based on previous history records, and advanced AI time-series prediction models are used to predict all assets’ future status and potential risks. This information enables organizations to monitor and analyze asset performance, make informed decisions about policy updates, mitigate risks, and optimize operations for maximum efficiency and asset utilization. The ability to process large amounts of historical data and make accurate predictions sets GREEN Physics AI metadata apart and makes it a key player in the GREEN and LEAN industrial DIGITALIZED decision-making process.

Small things make sustainability.

The age and condition of each individual industrial object impact the overall system. Potential savings and optimization of the CO2 footprint are often found at points where you would not expect them. GREEN Physics AI enables the evaluation of even the smallest changes over time.

NVIDIA Omniverse
real-time renderings.

NVIDIA's DGX H100 enables SORDI'S AI to analyze the METADATA of each asset in real-time and render it in incredible quality. This creates millions of different new assets depending on the METADATA. Never before has it been possible to visualize industrial environments so realistically.

SORDI.ai GREEN Physics AI

SORDI's GREEN Physics AI Engine takes the creation of AI training datasets to a NEW LEVEL.

SORDI's GREEN Physics AI leverages the asset's metadata and the mapped time period to provide an in-depth view of the asset's history and usage. The AI considers all potential deformations, wear and tear, contamination, and other factors that may have occurred during the specified time period and calculates them automatically. This results in an accurate simulation of the asset's condition over time and even provides predictions for its status in the coming years!

Testing SORDI’S GREEN Physics AI

GREEN Physics AI Playground

Click & drag to experience the AI-based PBR effect on our photorealistic renders

Move your mouse around the image to experience the photorealistic texture details of our Euro Pallets

SORDI’S GREEN Physics AI introduces

Metadata for Industrial Assets

SORDI's metadata brings static assets to life. This means that the models are no longer limited to a single, unchanging texture, but instead are updated based on significant inputs and conditions. This makes SORDI.ai assets more interactive and provides a more REALISTIC representation of the object they are meant to be.

SORDI.ai Dynamic Environments

Virtual Humans in SORDI.ai

Virtual humans are transforming the way we operate our digital factories. These incredibly realistic human models simulate complex tasks’ performance and movements with high accuracy and speed, making it easier for us to simulate action-based real-world scenarios with dynamic events. With virtual humans, we're pushing the boundaries of what's possible in the industrial Metaverse and paving the way for more efficient and sustainable applications.

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