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SAC: NVIDIA Omniverse Solution Advisor Consultant

POLLUX's SAC (Solution Advisor Consultant) is an NVIDIA certified consulting service specializing in digital twin implementation and Omniverse utilization. With proven expertise across diverse industries, we provide comprehensive technical guidance from project planning to implementation, ensuring successful digital transformation for enterprises seeking to leverage Omniverse technologies.

NVIDIA Omniverse Solution Advisor Consultant

POLLUX is not just a software provider, but a partner in solving client challenges.

POLLUX consists of a team of experts from various fields, including designers, technicians, developers, mechanical engineering engineers, and industry experts. POLLUX carefully listens to and understands client needs and situations, then collaborates to suggest optimal solutions.

POLLUX SAC Main Image

Omniverse Solution Advisory Service

We have received official SAC (Solution Advisory Consultant) certification from NVIDIA based on our expertise in NVIDIA Omniverse. Building on this, we provide effective Omniverse SAC services to clients who want to adopt and utilize Omniverse.

NVIDIA SAC Certification Logo

Why POLLUX

Successfully leading an Omniverse project requires not just technology supply, but a deep understanding of the entire process and comprehensive capabilities. POLLUX supports the entire Omniverse adoption process.

Early Project Phase – Broad Coverage

  • Broad understanding of various technical fields such as CAD, IT, and architecture
  • Capability to perform everything from requirements analysis to comprehensive system review for Omniverse application

Late Project Phase – Deep Understanding

  • Practical project experience in actual facility and robot development using Digital Twin
  • Specialized engineers for industry-specific asset digitization in mechanical engineering, electronics, and electrical fields

NVIDIA Official Certification – Trusted Partner

  • Official Omniverse SAC (Solution Advisory Consultant) certified by NVIDIA
  • Multiple practical experiences and technical validation cases related to Omniverse

POLLUX OMNIVERSE SAC Service

  • Basis Advising - Technical advice and assessment of client projects
  • Engineering - Technical design and infrastructure architecture provision
  • Enablement Support - Technical support and reference code provision for solution implementation
Service LevelBasis AdvisingEngineeringEnablement Support
Technical Consulting✔️✔️✔️
Technical Diagnosis and Basic Consultation✔️✔️✔️
Agile Support (Email, Chat, Scrum Meetings)✔️✔️✔️
Document Center Access✔️✔️✔️
Issue Ticketing✔️✔️
Reference Architecture Technical Support✔️✔️
Validation Key Technology✔️✔️
Reference Code Provision✔️
Full-time Technical Support During Projects✔️
Full-scale Technical Support✔️
  • Technical Consulting

    We review the necessary technologies for clients to effectively utilize Omniverse and suggest applicable technical strategies.

    Technical Consulting Service Diagram
  • Document Center Access

    We provide access to the latest Omniverse-related technical support documents through a Notion-based Document Center, offering an information environment accessible anytime, anywhere.

    Document Center Screenshot
  • Reference Architecture Technical Support

    We provide verified Omniverse Reference Architecture for immediate use in client projects or as a basis for expansion and customization.

    Reference Architecture Diagram

SAC Service User Cases

4-Wheel 4-Direction AMR Robot Digital Transformation and Simulation Control Verification

AMR Robot Digital Twin Image

POLLUX transformed a 4-wheel 4-direction AMR robot into a digital model, coding the dynamics-based physical model and implementing a virtual control unit (vMCU) in Omniverse.

This enabled comprehensive verification of control logic and physical responses, and through ROS integration, we completed precise robot movements and real-time control scenarios.

Robot A.I Learning and Sim-to-Real Application

Robot AI Learning Simulation

POLLUX learns and simulates logistics robot control strategies in a digital environment, training AI-based vision models in Omniverse before applying them to actual robots.

Through Isaac Sim-based learning and Sim-to-Real technology, we've implemented precise robot control performance in real-world spaces.

Logistics Facility Digital Simulation and Control Logic Implementation

Logistics Facility Digital Simulation

POLLUX precisely configured digital assets and control logic for mini-loader facilities by engineering stage, tailored to the Omniverse environment.

Our mechanical engineering and IT specialists repeatedly validated control code precision and facility operations through physical simulations, achieving control implementations applicable to real-world scenarios.

Digital Twin-based Logistics Robot Simulation

Logistics Robot Digital Twin

POLLUX implemented gantry robots and conveyor systems as digital twins on Omniverse, applying real-site parameters to enhance simulation precision.

This enabled realistic reproduction of facility operations and provided an engineering environment capable of system optimization and operational efficiency analysis.

AI Model Learning for AMR Damaged Driving Line Response

AMR Line AI Learning Model

To solve the problem of damaged floor guide lines recognized by AMRs during driving, POLLUX generated synthetic data of various damaged lines in Omniverse and trained AI models based on this data.

The enhanced recognition model was verified in both digital twin environments and actual sites, simultaneously improving driving stability and line restoration capability.

AI Simulation Learning for Fire and Smoke Monitoring

Fire Detection AI Simulation

POLLUX used Omniverse to recreate fire and smoke situations that are difficult to implement in real environments as digital twins, generating synthetic data for high-risk scenarios.

Based on this, we built a simulation-based learning environment where fire detection and safety management AI models could be trained and verified in various scenarios, enabling assessment of future real-world application possibilities.

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