At the heart of Europe’s AI-driven infrastructure evolution is a standout collaboration between Akila and NVIDIA — one that took center stage at GTC Paris 2025, featured in NVIDIA CEO Jensen Huang’s keynote, and showcased in their highlight video, Build and Test Smart City AI Agents in Digital Twins.

This partnership has helped position Akila as a key player in the emerging ecosystem of real-time operational intelligence, demonstrating how digital twins, AI agents, and live sensor data can come together to optimize how buildings, campuses, and transit systems function.

From the SNCF Monaco station deployment to advanced Omniverse integrations, here’s a closer look at how Akila is helping define the next generation of intelligent infrastructure — and why our platform is fast emerging as the operating layer of the built world.

A Smarter Station in Monaco: Akila with SNCF & NVIDIA

Akila’s collaboration with NVIDIA and SNCF Gares & Connexions began with a bold ambition: to enhance safety, sustainability, and efficiency at the Monte-Carlo train station in Monaco. That ambition became reality through a live AI-powered digital twin, developed by Akila and integrated with NVIDIA Omniverse.

This initiative is among the first operational deployments aligned with NVIDIA’s Omniverse Blueprint for Smart Cities, bringing simulation, AI, and real-time decision-making into one system.

Key Results at the Monaco Station

• 20% reduction in energy use
• 50% faster incident response
• 50% less system downtime
• €30,000+ projected annual operational savings per site

The station now manages energy, HVAC, maintenance, lighting, and safety from a unified control layer using Akila’s platform, supported by NVIDIA’s edge AI stack (Metropolis, Omniverse, and Isaac agents). This is not just data collection — it’s integrated, autonomous operations in action.

GTC Paris and VivaTech 2025: Akila in the Spotlight

A Keynote Feature from Jensen Huang

At GTC Paris 2025, Jensen Huang’s keynote laid out NVIDIA’s vision for combining simulation, AI training, and live operations in one continuous loop. He cited Akila’s Monaco project as a prime example:

“These deployments aren’t proofs of concept. They are real, they are live, and they are delivering impact.”

He described how platforms like Akila, using OpenUSD and Omniverse, are enabling infrastructure to adapt and respond faster — turning reactive systems into proactive ones.

The Omniverse Blueprint Workflow

NVIDIA’s Simulate → Train → Deploy framework is now operational through Akila:

• Simulate: High-fidelity digital twins model real-world assets
• Train: AI agents learn within these environments
• Deploy: Agents operate within live infrastructure via Akila’s platform

Akila bridges the digital and physical by turning these simulations into real-time control systems — delivering tangible benefits across operations, sustainability, and safety.

Video Feature: Akila’s Role in the AI Infrastructure Ecosystem

NVIDIA’s feature video, “Build and Test Smart City AI Agents in Digital Twins”, offers a compelling window into how Akila is enabling a new generation of intelligent infrastructure. More than a product showcase, it highlights Akila’s platform as the orchestrator of real-time performance, simulation, and autonomy in built environments.

Check out the video here

By integrating high-fidelity digital twins, live sensor streams, and AI workflows, Akila enables cities and facilities to transition from passive monitoring to intelligent, responsive systems. The video captures how Akila is not only visualizing data — but actively operationalizing it.

Key takeaways from the video include:

• Photorealistic 3D dashboards that render live metrics such as energy usage, air quality, foot traffic, and system health, allowing operators to interpret and act on complex infrastructure data in real time.
• AI agents, trained in virtual Omniverse environments, can be deployed through Akila’s platform to manage systems proactively — automatically adjusting HVAC, responding to abnormal events, or triggering safety protocols.
• Crowd and behavior analytics powered by ecosystem partner XXII, enabling real-time understanding of movement patterns and occupancy levels to support decisions around comfort, security, and operations.

Rather than offering a futuristic concept, the video demonstrates a functional and scalable solution. It reflects how Akila and NVIDIA’s technologies complement each other — turning simulation into live control and setting a repeatable model for forward-thinking infrastructure operators.

OpenUSD, Interoperability & AI Agents: Akila’s Platform Advantage

At the core of Akila’s platform lies a strategic focus on openness, interoperability, and real-world usability. Built to work across complex ecosystems, Akila leverages OpenUSD (Universal Scene Description) — the foundational data model of NVIDIA Omniverse — to seamlessly integrate with a broad array of systems and technologies.

This architectural approach gives Akila a major advantage:

• Effortless data integration from diverse sensors, equipment, and platforms — ensuring that critical infrastructure data is unified, not siloed.
• Cross-platform compatibility for simulation, training, and validation of AI models — reducing time-to-deployment and increasing reliability in the field.
• Real-time 3D visualization of systems that enhances situational awareness and simplifies complex building management decisions.

But Akila goes further. We don’t just visualize infrastructure — we optimize it. Our platform enables intelligent control loops where autonomous agents continuously monitor conditions, anticipate issues, and take action:

• Adjusting environmental systems like chillers to maximize energy efficiency
• Detecting early signs of system failure or safety risks
• Modifying lighting or HVAC usage based on real-time occupancy

This transforms facilities from static assets into living, learning environments that improve over time. Whether deployed in a single building or across a multi-asset portfolio, Akila delivers a flexible, scalable path to operational intelligence — grounded in standards, interoperability, and measurable results.

What This Means for the Future

This collaboration represents more than technical integration — it’s a strategic move for infrastructure owners seeking to modernize.

Benefits for Asset Operators

• Unified platform for energy, operations, and maintenance
• Scalable across facilities and asset types
• Accelerates decarbonization and ESG compliance
• Enhances operational agility with real-time insights

From Static Assets to Dynamic Systems

As demand grows for resilient, efficient, and intelligent infrastructure, Akila is uniquely positioned to meet the moment.

By working with NVIDIA and other ecosystem partners, we’re proving that advanced simulation, AI agents, and live control can now operate together — not in the future, but today.

As demand grows for resilient, efficient, and intelligent infrastructure, Akila is uniquely positioned to meet the moment. Our mission is rooted in delivering practical impact — enabling seamless integration, real-time responsiveness, and continuous improvement across buildings, cities, and campuses. By combining interoperable architecture with actionable intelligence, Akila helps operators turn complexity into clarity and performance into progress.

Stay Tuned

With more deployments underway and a growing ecosystem, we’re continuing to build the next generation of operational intelligence — one station, campus, and city at a time.

This year’s NVIDIA GTC Paris brought together visionaries, engineers, and AI practitioners from across Europe and beyond to explore the frontiers of artificial intelligence, digital twins, and simulation technology. With a strong focus on accelerating innovation in industry and infrastructure, GTC (GPU Technology Conference) is widely regarded as a key stage for unveiling what’s next in the AI ecosystem.

On opening day, Akila was proud to be featured twice during the keynote speech by NVIDIA CEO Jensen Huang, where our project with SNCF Gares&Connexions was presented as an example of how simulation and AI can transform the future of mobility infrastructure.

A New Chapter in Smart Mobility: Monaco Monte-Carlo Station

The project featured in the keynote is located at the Monaco Monte-Carlo train station, a complex, high-density transit hub that is part of the national rail operator SNCF’s Gares&Connexions network. In collaboration with SNCF, Akila deployed a comprehensive digital twin of the station, creating a real-time spatial model of the environment that integrates live data from sensors, cameras, and operational systems.

Using this platform, we’ve implemented a range of AI-driven capabilities to help monitor and optimize the station’s day-to-day performance. These include computer vision applications to understand crowd behavior and flow patterns, predictive modeling for energy and HVAC efficiency, and real-time simulations to assess thermal comfort and ventilation quality across the station’s enclosed spaces.

This digital twin isn’t just about visualization—it’s about intelligence. The Monaco deployment reflects our broader mission to build cognitive buildings: smart environments that use AI agents and real-time feedback loops to learn from data and continuously improve how they function.

Akila’s Integration with NVIDIA Omniverse

The project was featured again later in Huang’s keynote in a dedicated segment on digital twins, simulation, and the OpenUSD ecosystem. Here, Akila was highlighted as an early adopter of NVIDIA Omniverse, NVIDIA’s platform for connecting and simulating complex physical environments using open standards.

By integrating our digital twin with Omniverse, we’re able to go beyond static models to conduct dynamic, AI-powered simulations. These simulations allow us to test different operational scenarios for the Monaco station—such as changes in passenger load, airflow behavior, or environmental conditions—and generate insights that can directly inform decision-making.

This real-time modeling, combined with data streaming from the live environment, enables station operators to proactively manage energy usage, improve comfort and safety, and respond more quickly to dynamic crowd situations. It’s a powerful example of how simulation and AI can converge to create resilient, adaptive infrastructure.

A Week of Innovation at GTC Paris

Throughout the week, Akila participated in the NVIDIA demo zone, where we showcased how our platform enables a new era of intelligent operations across infrastructure, real estate, and industrial sectors. The event brought together a cross-section of industries—from urban planning to heavy industry to research institutions—all exploring the use of AI to solve real-world problems.

Being featured in the keynote was a milestone moment for Akila. It signals growing recognition of the role that digital twins and simulation will play not just in buildings and factories, but in public mobility infrastructure, where operational excellence must be balanced with sustainability, safety, and user experience.

Looking Forward

We are deeply grateful to our partners at SNCF Gares&Connexions for their collaboration, ambition, and shared belief in using technology to reimagine the built world. Our appearance in the keynote is not just a recognition of the work done in Monaco—it’s a reflection of a shared vision for what’s possible when AI, simulation, and infrastructure come together.

We’re just getting started. More projects, more innovation, and more cognitive buildings are on the way.

👉 Read our full press release on the Monaco project here