Deploy AI and machine-learning models natively against your twin to convert raw operational data into action — turning a viewer into an autonomous monitoring layer.

• Real-time defect detection via computer vision on live and recorded scene data.

• Prescriptive maintenance that surfaces the next action from predictive models, cutting manual error.

• Synthetic data generation at scale to train models for the industrial metaverse.

Engineered for large-scale industrial environments — combine the formats your teams already work in and render them at full scale without the performance cliff.

• Multi-Format Compatibility: Combine IFCs, OBJs, and other file formats in the same scene. View 3dverse file support list.

• High-Performance Geospatial Streaming: Render large-scale geospatial datasets without performance loss, maintaining visual fidelity. 400 million polygons & hundreds of GB of textures.

Natively multi-user - all rendered from a single GPU session in the cloud.

• Multi-User: Multiple users can join the same 3D environment in real-time, each with independent camera controls.

• Synchronized Interaction: Edits and actions are instantly visible to all participants, maintaining a persistent environment.

Simulate complex environments in real-time, powered by live data and synchronized IoT API feeds.

• Integrated IoT and Data Feeds: Connect live data sources, including IoT sensors (OPC UA, MQTT, REST APIs), for accurate, real-world simulations.

• Dynamic Simulation Logic: Run real-time physics, animation, and interaction logic in a cloud-native environment.

• Scalable Simulation Infrastructure: Simulate complex environments with synchronized behaviors and data-driven interactions.

3dverse delivers cloud-based texture rendering and is optimized to maintain performance across devices. It can handle scenes with millions of triangles, ensuring detailed geometry is displayed without requiring local GPU processing.

• Cloud-Native Texture Streaming: High-resolution textures are dynamically streamed from the cloud, ensuring sharp, detailed visuals without local processing.

• Triangle-Based Geometry Optimization: Complex surfaces are rendered efficiently using high-density triangle meshes, preserving intricate details.

• Cross-Device Compatibility: Experience consistent texture quality on any device, from desktop to mobile, without performance degradation.

3dverse supports the ingestion and visualization of volumetric medical imaging data, including DICOM files.

• Multi-Layer Visualization: Load and visualize DICOM files alongside voxel representations for accurate medical imaging.

• Mesh Generation from Voxel Data: Convert volumetric data into accurate 3D meshes, maintaining precision and detail.

• Parallel Representation: Simultaneously display original voxel data and reconstructed meshes, ensuring complete visualization control.