Understanding how energy moves through a building has always been one of the biggest challenges in facility and sustainability management. Data comes from everywhere including utility feeds, renewable systems, sub-meters, sensors, and BMS points,but it rarely comes together in a way that reveals the full picture. Most systems can tell you how much energy a building uses. Very few can show you where that energy comes from, how it’s distributed, and what (or who) is driving the demand.

Akila’s improved Energy Flow Analysis feature is built to change that. By turning fragmented, complex data into a complete, intuitive, and shareable map of energy from supply to final consumption, it gives organizations the clarity they need to understand performance, improve coordination, and take faster, data-backed action.

The problem: Energy data without structure creates blindspots

Modern buildings generate enormous volumes of information. Yet the systems designed to interpret that information often struggle with transparency.

• Energy supply is split across grid feeds, renewables like PV systems, and sometimes backup generators or batteries.
• Consumption is scattered across tenants, equipment categories, operating schedules, and zones.
• Different teams create their own diagrams or spreadsheets, leading to inconsistencies and duplicated work.
• Portfolio managers struggle to benchmark sites because each building reports energy differently.
• Facility teams are left reacting to peaks and inefficiencies rather than preventing them.

Without a structured and intuitive way to visualize the entire energy chain, even the best teams are making decisions in the dark.

Introducing Akila’s enhanced Energy Flow Analysis

Akila’s Energy Flow Analysis creates a complete end-to-end map of where your building’s energy comes from and where it goes. Built on top of a detailed digital twin, the feature transforms raw datapoints into a cohesive energy story.

What sets Akila apart is its powerful, flexible IoT integration framework. Akila seamlessly connects to a wide variety of data sources including electricity meters, water meters, smart sockets, environmental sensors, and legacy BMS points across multiple protocols (MQTT, HTTP API, FTP, and more). This adaptability is the result of years of integrating with both local and global IoT suppliers, as well as third-party and legacy systems.

Whether your building uses locally sourced hardware or a unified global supplier, Akila’s platform ensures that every relevant datapoint is captured, structured, and made available for analysis. Our reusable integration scripts and standardized data models guarantee that energy flow insights are consistent, scalable, and reliable across diverse building portfolios and regions.

With this feature, users can:

• Visualize the full supply-to-consumption energy journey.
• See relationships between energy sources, equipment groups, zones, and tenants.
• Compare real-world flows against expected patterns.
• Spot anomalies, inefficiencies, and underperforming assets instantly.
• Align cross-functional teams around one shared view of building performance.

Rather than jumping between multiple sources of truth, teams get a unified energy picture that is accurate, real-time, and actionable.

How it works

Akila begins by integrating data from every relevant source: grid import meters, onsite renewable systems like PV arrays and batteries, tenant sub-meters, equipment-level sensors, and BMS points. This raw data is then cleaned, time-aligned, and mapped into the building’s digital twin, creating a consistent, structured foundation for analysis.

Once the data is organized, Akila generates a dynamic supply-to-load energy flow diagram that visually traces how energy moves through the building – from input sources all the way to consumption by equipment and zones. This intuitive visualization makes it easy to see dependencies, identify bottlenecks, and understand the true story behind energy use.

Finally, these insights are actionable. They inform and enable predictive maintenance, optimization strategies, and reporting workflows, allowing teams to react quickly or even automate responses through Akila’s control features. The result is a unified, real-time understanding of building energy that supports smarter decisions at every level.

Three ways users gain immediate value

1. Supply side intelligence – Understanding where energy comes from

For buildings using a mix of grid electricity, PV generation, and battery storage, understanding energy supply is critical.

Akila breaks down exactly how much energy is coming from each source and how those sources are being used.

This enables users to:

• Measure real renewable self-consumption rates.
• Identify when PV underperforms and diagnose why.
• Shift loads away from expensive grid periods.
• Optimize the building’s cost and emissions strategy.

The result is a clearer understanding of your energy mix and more confident decisions around purchasing, scheduling, and sustainability.

2. Tenant breakdowns – Transparent and fair energy attribution

For multi-tenant buildings, energy transparency is often a pain point. Manual sub-meter reads, inconsistent billing logic, and disputes can eat resources and erode trust.

Akila solves this by breaking down energy consumption by tenant, with data mapped directly to the 3D digital twin.

This gives property managers and owners the ability to:

• Accurately attribute consumption for billing or reporting.
• Identify tenants with unusually high load intensity.
• Highlight savings opportunities specific to each tenant.
• Reduce disputes through clear, verifiable consumption records.

Improved transparency strengthens landlord-tenant relationships and supports better long-term planning.

3. Equipment System breakdown – Benchmarking what drives demand

Not all systems contribute equally to a building’s energy load. HVAC may dominate in one building, while pumps or industrial equipment dominate in another.

Akila visualizes consumption by equipment category so users can understand which systems are responsible for which portion of total demand.

This helps teams:

• Benchmark equipment performance against design values or peer buildings.
• Spot equipment types with recurring inefficiencies.
• Prioritize maintenance, upgrades, or operational tuning where it matters most.
• Detect early signs of equipment degradation through rising energy intensity.

Instead of looking at building-wide totals, operators get detailed clarity on what’s driving energy use.

Why this matters for the future of smart buildings

Energy Flow Analysis closes one of the biggest gaps in building management: the lack of a unified, intuitive, and actionable understanding of how energy moves through the built environment.

With this feature, teams can:

• Shift from reactive firefighting to predictive planning.
• Align sustainability and operations teams around shared, trusted data.
• Build more accurate forecasts and budgets.
• Support audits, compliance, and ESG reporting with confidence.
• Unlock new optimization pathways powered by AI and automation.

As buildings grow more complex and energy costs rise, this level of clarity is no longer a nice-to-have — it’s essential.

Ben Guerir, Morocco — November 5, 2025 — Akila has launched a campus-scale digital twin for Mohammed VI Polytechnic University (UM6P), establishing an AI infrastructure that spans 50 buildings across a 55-hectare site, home to more than 7,000 students. Built leveraging NVIDIA Blueprint for smart city AI, a reference architecture to build, train, and deploy city-scale AI. The project maps to the blueprint workflow showcasing a new benchmark for how simulation, real-time intelligence and semantic data can be fused at scale to enable smarter, more responsive environments.

This is the first time Akila’s full platform has been deployed at campus scale, transforming UM6P into a living laboratory for future smart-city systems. A deep technical integration was needed to make the solution possible including NVIDIA Omniverse libraries for synthetic data generation, vision AI ingestion from real-world sensors with NVIDIA Metropolis, the NVIDIA AI Blueprint for Video Search and Summarization (VSS) and NVIDIA Cosmos Reason to deploy video analytics AI agents for ongoing alerts and efficient operations.

The digital twin integrates diverse data sources — from building systems to utilities and mobility flows — within a structured, continuously updated Omniverse environment. It also introduces new layers of mobility and vehicle data, intelligently linked to the 3D model and natural language interfaces, giving campus operators unprecedented operational insight.

A distinctive capability of the platform is its use of a custom video language models (VLMs) trained with NVIDIA Cosmos Reason, enabling a contextually aware AI agent to deliver real-time video intelligence across the entire campus. Combined with Akila’s semantic graph, these models can analyze crowd movement, traffic flows and incident patterns, then feed the results back into simulations to support predictive and operational decision-making.

Stakeholders can also query the twin through LLM-powered interfaces, asking complex questions in natural language and receiving contextualized answers and automated reports. Whether it’s occupancy trends, mobility anomalies or energy deviations, campus managers can get precise, actionable intelligence on demand.

“What we’re building at UM6P is the AI infrastructure of the future — one that connects simulation, real-time intelligence and semantic data to create something far more powerful than the sum of its parts,” said Philippe Obry, Vice-President of Akila. “NVIDIA Blueprint for smart city AI and the incorporated technologies have accelerated our ability to integrate these layers at campus scale, turning the digital twin into a living, intelligent system.”

“With UM6P, we’re creating a uniquely data-rich and queryable digital environment,” said Pierre-Manuel Patry, Head of EMEA at Akila. “Any stakeholder can retrieve detailed, AI-generated insights about their area of focus, or generate automated reporting on demand. It’s a degree of control made possible by Akila’s unified AI infrastructure — and a perfect showcase of what a smart campus can be.”

By linking simulation, video intelligence, semantic structuring and natural language interfaces, Akila and UM6P are demonstrating how NVIDIA technologies can be operationalized to build next-generation AI infrastructure for the built environment — scalable from a single campus to entire smart cities.

Akila will be presenting this deployment live at the Smart City Expo World Congress 2025 in Barcelona from November 4-6, 2025. Akila can be found at the Mindware booth, and encourages all visitors to join us for a preview of our work in campus-scale digital twin.

June 23rd, Sydney – Akila, a global leader in digital twin and smart building technology, today announced a strategic partnership with Thinxtra, an Australia-based Internet of Things (IoT) solutions provider. The collaboration marks a significant step in Akila’s regional expansion and demonstrates growing demand for digital solutions that drive sustainability, efficiency, and compliance across the built environment.

This partnership combines Akila’s advanced digital twin platform which unifies energy, asset, and carbon data into a single intelligent interface, with Thinxtra’s proven expertise in deploying connected IoT infrastructure across Australia and New Zealand. Akila powers the software intelligence layer enabling real-time monitoring, AI-led optimization, and portfolio-level decision-making, while Thinxtra delivers reliable field execution through expert integration, deployment, and support services.

The partnership is currently supporting the rollout of a smart building solution for a global retail brand with multiple commercial sites across Australia. This builds on a multi-year collaboration between Akila and the brand spanning Asia, Europe, and America, covering more than 4 million square meters of building assets. In Australia, Thinxtra ensures successful local implementation through hardware integration and connectivity, while Akila leads project delivery through its digital twin and AI-driven analytics engine.

“We’re proud to partner with Akila to bring smarter, more sustainable operations to life in Australia,” said Sam Sharief, Chief Operating Officer at Thinxtra. “The real value in any smart building project lies in turning raw data into actionable information, and doing it at scale. By combining Akila’s powerful platform with our local expertise in deploying connected solutions, we’re helping organisations unlock meaningful efficiencies, reduce waste and make faster, smarter decisions.”

The current rollout focuses on enabling data-driven energy management and operational optimization in 11 commercial sites across Australia. This project will include energy monitoring, HVAC optimization, asset management, and carbon tracking, providing full visibility into building performance across the portfolio. The solution is expected to deliver 15–20% energy savings, increase operational efficiency, and support ESG compliance, creating a scalable foundation for future sustainability initiatives.

“Australia is a key market in Akila’s global expansion strategy, and Thinxtra has been an exceptional partner in turning our platform’s potential into real-world outcomes,” said Calvin Sun, Head of Asia Pacific, Akila. “Their local knowledge, professionalism, and technical execution give us confidence in scaling Akila projects throughout the region.”

Following the success of this deployment, Akila and Thinxtra plan to extend their collaboration across Australia and New Zealand, and deepen their impact within the regional facility management sector.

About Thinxtra

Thinxtra enables efficient, cost-effective, and scalable IoT solutions for asset tracking, facilities management and utilities. With extensive experience delivering complex technology projects across Australia and New Zealand, Thinxtra empowers organisations to take control of their critical infrastructure with smart, reliable solutions.

Learn more at https://thinxtra.com/

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