Following Akila’s participation in the Smart Cities Expo World Conference in Barcelona, where Akila held demos for its recent AI and digital twin projects in the campus and transport sectors, NVIDIA has profiled Akila alongside Milestone Systems and K2K as part of its thought leadership piece “Physical AI for Smart Cities: Simulate and Build City-Scale AI Agents”.

The profile places Akila in the context of an industry-wide rise in Physical AI applications, including:

• Milestone – turning citywide video into actionable insights

• K2K – (a co-presented with Akila at SCEWC) real-time neural networks for urban infrastructure

Akila was profiled for its deployment of AI agents in its semantically-rich digital twin to increase energy efficiency and operational efficiency, with extracts from its Omniverse-native project with SNCF. In that project, Akila built on its native format of OpenUSD and integrating NVIDIA Omniverse, the project created a rich simulation environment in which Akila integrated data from a number of data intensive systems for energy, maintenance and passenger flow and used its integration with Omniverse to visualize simulations including:

• HVAC performance

• Human traffic in busy areas

• Airflow

• Thermal conditions

• Lighting

This deployment is one example in a growing pipeline of projects where Akila is bringing its semantically rich digital twin to bring AI insights and agentic control into the physical world.

“What we’re doing with Akila is working with operators of large-scale portfolio of buildings and infrastructure, and we are helping them to transform and make their buildings and their portfolio more efficient. We are developing specifically AI agents to accelerate the decarbonization of our clients’ portfolios. So the AI agents will detect across a large volume of buildings and infrastructure.”

– Francois Amman (CEO of Akila)

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