Educational institutions today face a unique combination of operational pressures. Campuses are growing more complex to manage, students and faculty expect safer and more responsive environments, and administrators are under increasing pressure to reduce energy consumption and meet sustainability targets. As these needs expand, campuses must look for tools that provide better visibility, faster decision making, and long-term resiliency.

Akila supports this transformation by bringing campus operations, energy management, maintenance, and video intelligence together into a single, unified platform. For schools, universities, and research facilities, this creates a clearer, more actionable understanding of how their campuses are performing in real time.

Modern challenges across campus operations

Most educational environments face a similar set of hurdles. Large campuses often rely on aging or inconsistent infrastructure, with HVAC, utilities, and equipment spread across many different building types. Energy consumption is high, especially in spaces such as labs, dormitories, and lecture halls. Maintenance teams struggle with limited visibility and reactive workflows. On top of this, institutions need faster ways to understand what’s happening across campus – whether an incident needs review, a crowded area needs attention, or a room’s usage patterns suggest a better scheduling or energy strategy.

These challenges create inefficiencies that impact sustainability, campus experience, operational continuity, and planning.

A unified digital foundation for smarter campuses

Akila addresses these challenges through a holistic approach that connects building systems, equipment data, IoT devices, and video sources into a single platform. This gives administrators, facility teams, and safety staff a shared operational picture of the entire campus.

Optimized energy and HVAC performance

AI-driven analytics help institutions better understand how their buildings consume energy, alert teams to anomalies, and automatically adjust HVAC systems according to occupancy and usage patterns. Whether for classrooms, research spaces, or residential buildings, Akila delivers more efficient performance while still maintaining comfort and reliability. Clear energy baselining and carbon tracking also help institutions align to sustainability commitments and regulatory requirements.

Predictive maintenance and digital twin visualization

A campus-scale digital twin brings every asset and building into a clear 3D view, allowing teams to quickly locate equipment, understand system relationships, and respond faster. Condition-based maintenance ensures that faults are detected early and repairs are scheduled before they disrupt classes or operations. As campuses expand, this digital foundation becomes a critical tool for planning and long-term lifecycle management.

Video analytics for faster insights

As campus environments grow more dynamic, the ability to quickly understand what happened in a specific area or timeframe becomes increasingly important.

Akila integrates Video Search and Summarization (VSS) to make video data more accessible and efficient to use. Instead of manually reviewing long footage, teams can use AI to instantly search for relevant moments or generate concise summaries around an event window or location. This supports faster incident verification, better coordination, and a clearer understanding of activity patterns across the campus.

VSS is not positioned as surveillance technology – it is an operational intelligence tool that helps education institutions gain insights quickly, improve response times, and make more informed decisions about space utilization and campus planning.

Creating better learning environments

When energy management, maintenance, and video intelligence operate through a unified platform, campuses experience tangible improvements.

• Learning spaces stay more comfortable and consistent.
• Maintenance issues are addressed proactively rather than reactively.
• Activity patterns reveal how buildings are truly used, supporting smarter scheduling and resource allocation.
• Campus teams gain faster access to critical information during incidents or peak activity periods.
• Sustainability strategies align more closely with real operational data.

These outcomes directly support the core mission of education institutions: providing safe, healthy, and empowering environments for students and staff.

Designed to scale across diverse campus environments

Akila is designed to scale seamlessly from single buildings to multi-campus portfolios. Institutions can standardize energy reporting, maintenance workflows, and operational practices across all locations while maintaining the flexibility needed for different building types and usage patterns.

This approach provides administrators with long-term digital governance and ensures consistency even as campuses expand, renovate, or adapt to new operational demands.

Building the future of digital education infrastructure

The future of campus operations will rely on integrated digital systems that combine energy intelligence, predictive maintenance, real-time visualization, and rapid video-based insights. By bringing these capabilities together, Akila helps educational institutions move toward safer, more efficient, and more sustainable campuses — all while empowering teams to make better decisions every day.

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.

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)

Paris — At the Salon des Maires et des Collectivités Locales, Akila, a digital-twin and artificial-intelligence platform dedicated to building performance, and Ubicité, a national operator of territorial digital solutions and a subsidiary of Altitude Group, announced a strategic alliance designed to accelerate the sustainable, long-term modernization of public buildings at scale.

Ubicité: territorial expertise serving public-sector performance

Ubicité designs, integrates and operates long-term, sovereign data-collection networks that support local authorities strengthen public-sector performance.

As a subsidiary of Altitude Group, France’s third-largest telecom-infrastructure operator, Ubicité draws on more than twenty years nationwide deployment of open and sovereign networks. This experience positions Ubicité as a trusted partner engaged in ambitious modernization strategies.

Ubicité operates across the entire value chain:

• IoT and LoRaWAN networks
• Installation and operation of sensors
• Energy and environmental monitoring
• Public-building management
• Territorial operations and field support

With UbiOne, its new 360° territorial monitoring and data-visualization platform, Ubicité provides local authorities with a unified, sovereign environment for visualizing assets, analyzing usage patterns monitoring performance indicators and supporting strategic decision-making

Merging territorial infrastructure and building intelligence

Under the partnership, Akila integrates its operational digital twin and unified data model with Ubicité’s territorial IoT ecosystem, creating a seamless digital continuum from real-time sensing through to strategic decision-making.

This collaboration builds on an initial deployment in Côte-d’Or, where Ubicité delivered a sovereign architecture for IoT and public-building data. Akila will now extend this foundation by activating its NVIDIA-powered AI agents to optimize energy performance, maintenance operations, comfort and investment planning.

“Ubicité relies on the national presence of Altitude Group to deliver reliable and sovereign digital services to local authorities. Our alliance with Akila creates a new form of digital continuity between territorial infrastructure and building optimization. It offers a concrete, operational response to the performance and sustainability challenges facing public assets.”

— Guillaume Rochette, Managing Director, Ubicité

A sovereign model for France and Europe

Akila provides a digital-twin and AI platform deployed across several million m² worldwide. Built on a semantic data model, OpenUSD integration, and a unified reference of assets, the solution turns fragmented data into actionable operational intelligence.

Its AI agents — powered by NVIDIA technologies — automatically optimise HVAC, energy consumption, maintenance, work planning and carbon performance.

“Ubicité’s territorial presence and the strength of Altitude Group make it the ideal partner to deploy the Akila digital twin at scale in France and Europe.” says Pierre-Manuel Patry, EMEA Director at Akila. “Together, we are building a fully sovereign end-to-end modelfrom the sensor layer to investment committees, delivering immediate and measurable results.”

An ambitious and replicable roadmap

The partnership includes:

• Extending the deployment in Côte-d’Or to other additional public buildings.
• Ensuring complementarity between UbiOne’s territorial monitoring platform and the Akila digital twin (building optimisation).
• Integrating Akila’s NVIDIA-based AI agents.
• Developing replicable models for municipalities, departments, metropolitan areas and regions.
• Building a 100% sovereign digital chain in cooperation with other French and European actors.

Together, Akila and Ubicité aim to provide local authorities with concrete, sovereign and AI-enabled solutions to enhance building performance, reduce carbon emissions, and modernize real-estate portfolios at scale.

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.

Barcelona, 4 November 2025 — Akila, together with K2K and ThinkDeep, will showcase their shared vision for how semantically rich digital twins, video-language models (VLM) and retrieval-augmented AI systems can form an integrated intelligence chain that powers the future of Physical AI in cities and the built environment.

In line with NVIDIA Blueprint for smart city AI – a physical AI framework that combines simulation, training with VLMs, and deploying video analytics AI agents – the three companies are demonstrating how complementary technologies — spanning contextual intelligence, perception, and interaction, can be combined to create a new generation of city-scale AI systems.

• Akila provides the semantically rich digital twin platform, built on OpenUSD and integrating NVIDIA Omniverse libraries as its core environment for GPU-intensive simulation and spatial intelligence. Akila serves as the central layer where upstream data is contextualized in a unified operational model, enabling advanced analysis and scenario simulation at building and city scale.

• K2K deploys video analytics AI agents that generate structured, semantic narratives from city-wide visual data built with the NVIDIA Blueprint for video search and summarization (VSS) and powered by NVIDIA Cosmos Reason, an advanced reasoning VLM.
• ThinkDeep enriches the ecosystem with visual data ingestion Agentic AI and Graph RAG (retrieval-augmented generation) pipelines using NVIDIA Metropolis – transforming unstructured operational documents and records into structured knowledge that can be accessed interactively through AI assistants.

Together, these capabilities create a context-to-perception-to-interaction chain: from understanding and modeling the physical world through Akila’s digital twin, to extracting real-time intelligence from VLM, to making this knowledge accessible to diverse stakeholders through retrieval-augmented AI systems.

“This collaboration reflects a shared ambition to push the boundaries of how AI understands, simulates, and acts upon the physical world,” said Philippe Obry, Vice President at Akila. “By aligning semantically rich digital twins with advanced VLM and RAG technologies — and by leveraging NVIDIA Blueprint for smart city AI Omniverse for high-fidelity simulation — we’re laying the groundwork for a new generation of Physical AI capabilities in cities and infrastructure.”

Akila, K2K and ThinkDeep will jointly exhibit at the Smart City Expo World Congress 2025 in Barcelona, from 4–6 November, 2025.

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