From The Sphere to the Smart Factory: Viga ET Deploys Generative AI for Digital Twins & Robotic Simulation

A fundamental technology shift is underway. The "Great Re-Allocation" is here, and it’s a fact: the technologies powering the Fourth Industrial Revolution—AI, robotics, and digital twins—were forged, funded, and scaled by the media and entertainment industry's relentless, decades-long pursuit of photorealism.

The journey of the GPU is the perfect analogy. Built for gaming , its parallel processing power was "unlocked" to ignite the modern AI boom. The engine built for entertainment became the engine for global intelligence.

This is not just an analogy. This is Viga ET’s story.

Our mission has always been to "harness the power of technology and engineering". In mastering the most complex, data-heavy, and logistically challenging problems in filmmaking , we were simply building our industrial-grade competencies in plain sight.

We are not an "entertainment company" trying to do robotics. We are a technology and engineering company  with a core in computer graphics, GPU computation, and AI. We are now applying our mastery to the world's most critical industrial challenges.

The Industrial Mandate We Fulfill

The industrial world is facing an interconnected set of challenges. We deliver the single, reinforcing ecosystem to solve them: Digital Twins, Synthetic Data, and Simulation Environments.

• Digital Twins (The Asset): 

  The global market for Digital Twins in Manufacturing is forecast to hit $713.61 billion by 2032. Why? It’s the "killer application" for predictive maintenance. We’re not talking theory; we’re talking proven ROI. An automotive line case study demonstrated a 6.01% increase in production line efficiency and an 87.56% gain for downtime by eliminating false alarms. This is the C-suite-level impact we build.

• Synthetic Data (The Fuel): 

  AI models for robotics and autonomous systems are "data-starved". Real-world data collection is scarce, expensive, dangerous, and legally restricted. Synthetic data is not just an alternative; it is the only viable path to train AI on the thousands of rare and dangerous "edge cases" needed for safety validation.

  

  
  

• Simulation (The World): 

  This is the "where." Industrial leaders in aerospace, military, and manufacturing are already adopting game engines to build their simulation ecosystems. We have been masters of these environments for years.

  

  
  

Our Proof Is in Our Portfolio

Our track record is not a collection of "entertainment" projects; it's a ledger of industrial-grade deployments.

• Industrial-Scale Digital Twin Deployment (Dubai Expo City) We didn't just build an AR app. We deployed and operated one of the world's largest persistent, spatial digital twins. This system covered 4 square kilometers, managed 220 persistent AR-anchored activations , and ran for six months. This is the exact technology stack and operational expertise required for a "Smart Factory" digital twin or an AR-guided warehouse logistics system.

  

  
  

• Generative AI & Advanced AI Application (Wizard of Oz at The Sphere) Our work on the "Wizard of Oz" experience at the Las Vegas Sphere, in partnership with Magnopus, demonstrates our mastery of cutting-edge Generative AI. Our team was instrumental in developing AI-driven workflows, collaborating with Google DeepMind, and engineering specialized AI models (LoRAs) to produce unique, large-scale art paintings. This is not just creative work; it is a high-throughput, industrial-scale application of Generative AI, proving our capability to build the sophisticated AI engines required for complex simulations and next-generation synthetic data.

• High-Fidelity Process Simulation ("Tangible Utopias" VR) This was not a game. It was a real-time, interactive, multi-user simulation environment for testing "what-if" scenarios on a city-wide scale. This project demonstrates our proven competency in building the precise simulation sandboxes that manufacturing clients need to test new factory layouts or robotic processes before committing capital.

• High-Stakes Industrial Training ("Cave Nuclear Reactor" VR) This project removes all ambiguity. We were trusted to build an immersive VR training simulation for nuclear facility operations. This is a high-stakes, industrial-grade simulation where fidelity directly impacts operator safety and knowledge retention. It is the definitive proof point of our capability in the most demanding industrial sectors.

The Viga ET Advantage: We Are the Solution, Not the Tool

Industrial clients face a critical "Tool vs. Solution" dilemma.

We see industrial leaders like Volvo Cars successfully integrating real-time 3D platforms. To achieve this, they had to build an internal division of 40 total Unity users. They had to find, hire, train, and manage a large, expensive team of game developers—a costly R&D effort far outside their core competency.

Viga ET is that division.

Why spend three years and millions of dollars attempting to build an internal simulation team? We are the end-to-end, bespoke service partner you have been trying to build. We bring our world-class team of computer graphics and AI engineers, our proven software, and our industrial-grade experience from day one.

You do not buy a tool; you buy a result.

Furthermore, our entertainment DNA is our most critical technical advantage. An AI trained in a simplistic, "unreal" world will fail when deployed to the complex, chaotic real world. Our roster of world-class computer graphics artists builds simulation environments so photorealistic, the AI cannot tell the difference.

Our artists are the key to creating effective industrial data.

The New Frontier Is Our Home Turf

Viga ET’s story is one of logical and powerful expansion. We are the partner for decision-makers in manufacturing, automotive, and robotics who understand that the future of their industry relies on simulation.

We build the "Matrix for Machines"—the photorealistic, data-rich simulations where your robots learn to see and your factory line is perfected.

The industrial frontier is here. We are already building it.

[Contact us to deploy your solution.]