3dverse provides a cloud‑native 3D operating system that hosts real‑time digital twins on scalable GPU instances, streaming full‑resolution scenes to any browser‑based device. Its API‑first platform integrates industrial data sources and AI services, enabling multi‑user collaboration, live monitoring, and simulation without local hardware or complex pipelines.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises that need real-time, data‑driven 3D digital twins face high infrastructure complexity, costly GPU hardware, and fragmented pipelines for integrating IoT, PLC, ERP, and AI data. Deploying and scaling such twins typically requires specialized installations and extensive engineering effort, limiting adoption to organizations with deep technical resources.
Solution
3dverse offers a cloud‑native real‑time 3D operating system that hosts digital twins on scalable cloud GPUs, eliminating the need for local hardware or complex software stacks. The platform streams full‑resolution 3D scenes to any device via a web browser, while REST APIs, SDKs, and a console enable seamless connection to industrial data sources (OPC UA, MQTT, REST, ERP) and AI services. Multi‑user collaboration, synchronized interactions, and live data feeds turn static visualizations into operational twins that support monitoring, simulation, and decision‑making across the enterprise. By abstracting the underlying 3D infrastructure, 3dverse reduces deployment costs, accelerates time‑to‑value, and provides a single, shared source of truth for cross‑functional teams.
Target Audience
Primary customers are industrial enterprises—manufacturing, smart‑city, energy, and construction firms—that require operational digital twins, as well as engineering teams building data‑driven 3D applications.
Features
- Cloud‑native rendering on GPU instances, delivering high‑quality textures and geometry without local GPU requirements
- API‑first architecture with native support for open formats (USD, glTF, IFC, OBJ) and industrial protocols (OPC UA, MQTT, REST)
- Real‑time collaboration allowing multiple users to edit and view the same twin simultaneously with synchronized interactions
- Integrated IoT and AI pipelines for live data ingestion, computer‑vision defect detection, predictive maintenance, and synthetic data generation
- Scalable simulation engine supporting physics, animation, and data‑driven logic in the cloud
- Multi‑device compatibility across desktop, tablet, phone, and AR/VR headsets via browser streaming
- Developer tooling (Console, Editor, SDKs) for rapid app deployment, asset management, and session monitoring