Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
March 19, 2026
The hospitality industry is entering a new era of operational pressure and opportunity.
Rising energy costs, increasing regulatory complexity, and ongoing labor constraints are forcing hotel owners and operators to rethink how their assets are managed. Traditional approaches, from manual processes to static building systems, are no longer enough to protect margins or ensure compliance.
Today, we’re proud to announce the release of Akila’s latest whitepaper: “Future-Ready Hotel Portfolios: The Digital Twin & AI Opportunity.”
The whitepaper also features a real-world deployment in a luxury hotel in New York City, one of the most demanding regulatory and cost environments globally.
Within just four months, the hotel achieved:
97,300 kWh in electricity savings
$23,352 in reduced energy costs
$34,055 secured through Con Edison’s RTEM incentive program
With a projected payback period of approximately six months, the project demonstrates how software-led optimization can deliver fast, measurable ROI, while laying the foundation for long-term performance improvement.
Why This Matters Now
Across the industry, the pressure is structural, not temporary:
Utility costs have surged more than 27% since 2019
Operating costs are growing faster than revenue
Energy and carbon regulations are becoming mandatory in key markets
At the same time, energy remains one of the few cost categories that hotel operators can actively control.
This creates a clear opportunity: move from reactive management to continuous, data-driven optimization.
From Fragmentation to Intelligence
In this whitepaper, we explore how digital twin technology is becoming a core operational layer for modern hotel portfolios.
Akila’s platform connects fragmented systems, from HVAC and energy meters to occupancy and BMS, into a unified, real-time intelligence layer. This enables:
Continuous energy optimization without major retrofit
Real-time visibility across assets and systems
AI-driven control strategies that adapt to changing conditions
Verified performance tracking aligned with compliance requirements
The result is a shift from static reporting to active operational control.
Beyond Cost Savings: A Strategic Shift
Digital twins are no longer experimental.
They are rapidly becoming essential infrastructure for hospitality operators looking to:
Reduce exposure to energy price volatility
Navigate evolving compliance requirements
Improve operational resilience across portfolios
Align sustainability goals with measurable outcomes
In a market where “sweating the asset” is the dominant strategy, the ability to continuously optimize performance without heavy capital investment is a decisive advantage.
Download the Whitepaper
The full report explores:
Key industry trends shaping hospitality in 2026
The role of AI and digital twins in modern hotel operations
A detailed breakdown of Akila’s technology architecture
How hotels can unlock incentives and verify performance
A step-by-step case study from deployment to ROI
👉 Download the whitepaper to learn how to future-proof your hotel portfolio with digital twins and AI.
Akila and Resiliocs Intelligence launch climate risk management partnership
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Building the Cognitive Engine for Smart Spaces with NVIDIA DGX Spark
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
Akila and Resiliocs Intelligence have launched a new collaboration in which the two companies will work to help large portfolio owners and operators better understand, plan and manage climate risk across their assets.
Around the world, governments and infrastructure operators are being asked the same question: How do we prioritize investment across hundreds of buildings and critical assets while preparing for a changing climate?
This collaboration brings together complementary capabilities to tackle that challenge at portfolio scale.
Resiliocs Intelligence develops advanced, asset-level climate risk and adaptation modelling. Akila provides the AI-powered digital twin and data infrastructure that connects operational, environmental and asset data across entire portfolios.
By bringing these platforms together, we aim to extend the application of climate intelligence from analysis and planning into continuous portfolio insight and long-term asset management.
The goal is simple: enable large portfolio owners and operators to move from isolated studies to systemic, data-driven decision-making across hundreds of buildings and infrastructure assets — supporting long-term capital planning, resilience strategies and measurable progress over time.
The collaboration will focus on large-scale deployments and public-sector portfolios, where the need for climate-informed investment and AI-driven portfolio visibility is growing rapidly.
We look forward to working together to bring new capabilities to clients and explore opportunities where climate intelligence and digital twins can create the greatest impact.
Related Articles
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Building the Cognitive Engine for Smart Spaces with NVIDIA DGX Spark
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
We are proud to announce a new partnership between Akila and SIMPPLE Ltd. (NASDAQ: SPPL), bringing together two complementary approaches to the future of facilities management: connected building intelligence and autonomous robotic operations.
As buildings become more complex and expectations around efficiency, resilience, and sustainability continue to rise, facility teams are under increasing pressure to do more with fewer resources. This partnership is rooted in a shared belief that the next generation of facility operations will be driven by data, automation, and intelligent coordination between physical and digital systems.
Who is SIMPPLE?
SIMPPLE is a technology provider focused on autonomous facilities management, combining software, IoT devices, and purpose-built robotic systems to support real-world facility operations. Their solutions are designed to address everyday operational needs across commercial buildings and infrastructure, including cleaning, security, surveillance, inspections, and monitoring tasks.
What sets SIMPPLE apart is its focus on operational practicality. Their robots are not experimental concepts or lab prototypes, but systems designed to operate reliably in live environments, navigating complex facilities while collecting consistent, high-quality operational data. These robotic platforms are built to integrate into broader digital ecosystems, allowing the data they generate to be used alongside existing building systems rather than remaining siloed.
Why This Partnership Matters
Akila’s platform provides a unified digital twin and data foundation for buildings and portfolios, connecting real-time and historical data from building systems, energy infrastructure, sensors, and operational workflows. By integrating SIMPPLE’s autonomous robotics into this data environment, customers gain a more complete and actionable view of how their facilities are performing on the ground.
Through this collaboration, Akila and SIMPPLE will:
Integrate robotic operational data with connected building systems, enabling richer performance tracking and contextual insights
Combine physical observations from autonomous robots with building and energy data, improving visibility into facility health, resource usage, and efficiency trends
Support the deployment of robotic automation alongside digital workflows, reducing manual workloads and allowing operations teams to focus on higher-value, strategic tasks
This approach helps bridge the gap between what is happening physically in a building and how that information is analyzed, acted upon, and optimized at scale.
Enabling Smarter, More Resilient Operations
By aligning autonomous robotics with a centralized data and analytics platform, this partnership enables facilities teams to move from reactive operations toward more proactive and predictive management. Routine tasks can be automated, performance can be continuously measured, and insights can be shared across teams and portfolios with greater clarity.
Beyond operational efficiency, this collaboration also supports broader sustainability and resilience goals. Better data visibility enables more informed decisions around resource usage, maintenance prioritization, and long-term asset performance, helping organizations reduce waste while maintaining high service standards.
Looking Ahead
Together, Akila and SIMPPLE are working toward a more integrated model of facilities management, where robotics, data, and digital workflows operate as a cohesive system rather than isolated tools. This partnership represents an important step toward smarter, more adaptive built environments that can evolve alongside the needs of the people and organizations they serve.
We look forward to the impact we will create together as we help customers unlock new levels of productivity, operational resilience, and sustainability.
Related Articles
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and Resiliocs Intelligence launch climate risk management partnership
Building the Cognitive Engine for Smart Spaces with NVIDIA DGX Spark
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
As buildings, campuses, and cities become increasingly instrumented, the challenge is no longer collecting data. The challenge is making sense of it in real time, close to where it is generated, and turning it into coordinated, intelligent action.
At Akila, this challenge sits at the heart of our platform. Our digital twin is not just a visual layer, but a living system that understands how assets, people, energy, and environments interact. To push this capability further, we are strengthening Akila’s agentic AI and orchestration engine with NVIDIA DGX Spark, bringing high-performance GPU computing to the edge and reinforcing the “brain” that powers cognition for smart spaces.
What is NVIDIA DGX Spark?
NVIDIA DGX Spark is a compact, high-performance GPU system designed to support the full lifecycle of modern AI workloads, from development and testing to deployment. It delivers the kind of accelerated computing traditionally associated with data centers, but in a form factor that can be deployed closer to operational environments.
For Akila, this means having a dedicated GPU compute foundation to run AI-intensive workloads at low latency, including:
Real-time video analytics
Sensor and meter data processing
AI agent reasoning and coordination
Spatial and simulation-driven intelligence
Rather than sending all data back to centralized cloud environments, DGX Spark allows critical AI inference and decision-making to happen closer to buildings, campuses, and districts themselves.
Why this matters for Akila
Akila is designed as an AI-native digital twin platform. We integrate real-time and historical data from equipment, energy systems, IoT sensors, and video streams into a unified, spatially anchored data referential. This foundation enables AI models not only to analyze data, but to understand context, relationships, and physical constraints.
DGX Spark strengthens this foundation by giving us the compute headroom to:
Develop and test GPU-heavy AI models faster
Run advanced inference pipelines with minimal latency
Prototype new AI-driven use cases without architectural compromises
In practical terms, it allows Akila to move beyond reactive analytics toward continuous reasoning and orchestration across systems.
Accelerating key capability areas
With DGX Spark under the hood, we are accelerating development across several core domains.
Agentic AI and reasoning at the edge Akila’s agentic AI framework is designed to coordinate specialized AI agents that monitor, reason, and act across different domains, such as energy, comfort, safety, and operations. GPU-accelerated compute enables more advanced reasoning models to run closer to assets, supporting faster decisions and more autonomous behavior in complex environments.
Computer vision and spatial intelligence Video is one of the richest but most compute-intensive data sources in the built environment. DGX Spark enables Akila to integrate computer vision capabilities such as occupancy awareness, safety monitoring, and spatial behavior analysis directly into the digital twin. These insights become spatially contextualized, allowing users to understand not just what is happening, but where and why.
Predictive building and infrastructure optimization From energy consumption and cooling performance to equipment behavior, many optimization challenges depend on predictive, simulation-driven models. GPU acceleration allows Akila to advance these models, improving accuracy and enabling more frequent recalculation as conditions change in real time.
Akila as the orchestrator of the built environment
Beyond individual features, this step reinforces Akila’s broader role as an orchestrator and nervous system for the built environment.
Buildings and cities today rely on fragmented technologies, each optimized for a narrow function and rarely designed to work together. Akila’s platform connects these systems into a coherent digital twin, where data, AI models, and operational workflows are aligned spatially and temporally.
By pairing this orchestration layer with advanced GPU infrastructure, Akila can:
Coordinate multiple AI models and vendors within a single operational framework
Enable cross-domain intelligence across energy, operations, safety, and sustainability
Scale from individual buildings to portfolios, campuses, and urban districts
Built with the NVIDIA ecosystem
This work is developed in collaboration with partners across the NVIDIA Partner Network, building on proven experience deploying AI-driven digital twins for real-world environments. DGX Spark expands what we can prototype, demonstrate, and ultimately deliver, from smart buildings to smart campuses and cities.
As these capabilities are put to work in live projects, we will share more on how agentic AI, computer vision, and GPU-accelerated digital twins are reshaping how the built environment is designed, operated, and decarbonized.
More to come.
Related Articles
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and Resiliocs Intelligence launch climate risk management partnership
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
As buildings face rising energy costs, stricter sustainability targets, and higher expectations for occupant comfort, HVAC systems are under increasing pressure. Yet many inefficiencies do not come from outdated equipment or poor design. They stem from one core issue: HVAC systems are often operated reactively.
Traditional control strategies respond only after demand has already changed. A space warms up, occupancy increases, or outdoor conditions shift, and the system reacts with a delay. This lag drives unnecessary energy use, creates temperature instability, and increases mechanical stress across HVAC equipment.
Demand forecasting changes this dynamic.
By predicting heating and cooling requirements before they occur, HVAC systems can move from reactive operation to proactive control. This forecasting layer becomes the foundation for all advanced HVAC optimization strategies.
What Demand Forecasting Means in HVAC
Demand forecasting in HVAC refers to anticipating future heating and cooling needs across different time horizons. Rather than responding only to current conditions, the system evaluates how demand is likely to evolve over the next minutes, hours, or day.
Short-term forecasting captures immediate fluctuations, such as a sudden change in occupancy or a spike in outdoor temperature. Longer-term forecasting looks at predictable daily or seasonal patterns, allowing systems to prepare for upcoming peaks rather than reacting once they arrive.
When demand forecasting is accurate, HVAC systems operate with foresight instead of urgency.
Why Forecasting Matters
Without reliable demand forecasting, HVAC systems tend to overcorrect. They cool or heat spaces too aggressively, start too late, or compensate for uncertainty by running longer than necessary. Over time, this behavior leads to higher energy consumption, unstable comfort levels, and increased equipment wear.
Forecasting addresses this by providing visibility into what demand is coming next, not just what is happening now. This shift enables more measured, efficient, and stable HVAC operation.
Akila’s Approach to Demand Forecasting
Effective forecasting begins with understanding how a building behaves. Akila brings together real-time and historical building data, including environmental conditions, occupancy signals, and energy consumption, to form a complete picture of what drives demand.
Rather than focusing on raw data collection, the platform emphasizes interpretation. The goal is to understand how demand changes in response to weather, usage patterns, and operational schedules, and to turn that understanding into actionable insight.
Akila’s AI models generate demand forecasts across multiple time horizons. Short-term 20-minute predictions capture rapid changes that affect HVAC demand in real time, while longer-range 24-hour forecasts anticipate daily demand patterns. This combination allows buildings to respond quickly without sacrificing overall stability.
A key differentiator is thermal response modeling. Buildings do not respond instantly to change. By modeling thermal inertia over time alongside occupancy and scheduling patterns, Akila produces forecasts that are more accurate and less prone to overreaction.
Forecasting accuracy also improves over time. As the system observes real-world outcomes, AI models continuously learn and adapt, refining predictions as building behavior evolves.
From Forecasting to Smarter Decisions
On its own, demand forecasting already delivers operational value by improving visibility and planning. But its true importance lies in what it enables.
Accurate forecasts form the foundation for smarter HVAC decisions, including load optimization, peak demand management, and automated equipment control. These capabilities rely on forecasting to function effectively. Without it, optimization remains reactive and limited in impact.
The Impact for Building Owners and Operators
For building owners and operations teams, accurate demand forecasting translates into tangible outcomes. Energy is used more efficiently because spaces are conditioned only when necessary. Indoor environments remain more stable, reducing comfort complaints. Equipment operates more smoothly, helping extend asset lifespan and reduce maintenance burden.
Because the approach is hardware-agnostic, demand forecasting can be applied across portfolios that include different building types, ages, and regions.
Forecast First, Optimize Second
As HVAC systems become more intelligent and automated, demand forecasting is no longer optional. It is the prerequisite for meaningful optimization.
By understanding what demand is coming next, buildings can operate more efficiently, more comfortably, and more sustainably. In future articles, we’ll explore how these forecasts power real-time HVAC optimization and automated equipment scheduling.
But it all starts with forecasting.
Related Articles
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and Resiliocs Intelligence launch climate risk management partnership
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
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.
Related Articles
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and Resiliocs Intelligence launch climate risk management partnership
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
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
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.
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.
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.
Related Articles
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and Resiliocs Intelligence launch climate risk management partnership
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
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)
Related Articles
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and Resiliocs Intelligence launch climate risk management partnership
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
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 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.
Related Articles
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and Resiliocs Intelligence launch climate risk management partnership
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
Jotun, the global paints and coatings manufacturer operating in more than 100 countries, has selected Akila to deploy an AI-driven energy platform across its worldwide manufacturing portfolio.
Akila is proud to announce a strategic partnership with Jotun Group to deploy a unified energy-intelligence layer across Jotun’s production facilities worldwide. Headquartered in Norway and recognized as a leading manufacturer in its sector, Jotun operates extensive industrial sites across Europe, the Middle East, Africa, South East Asia & Pacific, North East Asia, Latin America and the Americas.
This program represents one of the most significant global energy-intelligence initiatives undertaken by Akila to date, establishing asset-level monitoring and portfolio-wide optimization from the outset—and positioning Jotun to unlock measurable savings across its global network.
Transforming Industrial Energy Management Across a Global Portfolio
Akila’s AI energy platform will integrate with Jotun’s existing metering and control infrastructure, while working with Jotun to add and integrate new sensors and gateways as required to reinforce and expand their data-capture infrastructure. All data—whether from existing or supplemental sources—will be unified within a single platform serving as the energy-intelligence layer across the portfolio.
The platform will deliver a unified data model for all energy-related insight, enabling Jotun to:
Monitor electricity, energy quality, HVAC performance, compressed air, natural gas and other utilities across critical production assets
Detect significant energy users and anomalies early and at scale
Benchmark and optimize performance across regions, facilities and processes
Reduce energy waste and improve operational efficiency across Scope 1 and Scope 2
Track carbon footprints and align decisions with sustainability targets
Apply AI-driven analytics for deviation detection, automated baseline comparison and actionable optimization recommendations
This unified approach ensures that operational teams gain consistent, portfolio-wide intelligence capable of driving targeted improvements and measurable cost reductions.
Accelerating Impact With Actionable Insight
Rapid deployment is central to this program. With Akila’s platform architecture, Jotun will begin receiving actionable insight within the first three months—enabling teams to identify savings opportunities quickly and apply corrective actions across the portfolio.
Historically, similar deployments have generated measurable savings of 3–5%, and this program aims to replicate and further improve energy savings across Jotun’s global manufacturing network.
A Milestone in Akila’s Portfolio-Level Vision
“Partnering with Jotun at this scale is a defining moment for Akila,” said Philippe Obry, Vice President, Akila. “This is exactly what the Akila platform was built for—centralizing industrial data at the global portfolio level to unlock advanced analytics, benchmarking and a clear pathway toward AI-driven optimization and asset performance.”
A Shared Commitment to Efficiency and Sustainability
“We selected Akila because their platform met our rigorous technical and safety requirements and demonstrated the transparency and collaboration we value,” said Trine Finnevolden, Group Technical Director HSEQ at Jotun. “This partnership will enable us to unlock new levels of energy performance, operational insight, and sustainability across our global manufacturing network.”
Akila is proud to support Jotun’s leadership in energy efficiency, operational excellence and sustainable industrial growth—setting a new benchmark for AI-led energy management across a global portfolio.
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and Resiliocs Intelligence launch climate risk management partnership
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
Seattle — [2025.11.06] — Akila joins BizzTech, both members of the NVIDIA Partner Network, have announced a joint project together, along with other tech partners supporting the City of Seattle’s Office of Sustainability and Environment (OSE) in advancing its net-zero and decarbonization goals. The collaboration will take place in the Brighton neighborhood of South Seattle, working alongside Brighton Communities, a local community housing organization leading an economic development project to mitigate against housing displacement together with the city’s Building Decarbonization initiative.
As part of Akila’s commitment to leveraging NVIDIA Blueprint for smart city AI, BizzTech serves as the real-time visualization and engagement layer to Akila’s semantic data model to form a unified, SimReady digital twin built on NVIDIA Omniverse technologies and with NVIDIA Metropolis and NVIDIA Cosmos for bringing physical AI to cities. This connected platform links building systems, utilities, cameras, IoT devices and other sensors with AI-driven insights — providing the foundation for safer, more efficient, and sustainable urban management.
Why it matters
Seattle has positioned itself as a leader in climate innovation through its Building Emissions Performance Standard (BEPS) and OSE’s ongoing Building Decarbonization Grant program, which is targeting a 27% reduction in citywide building emissions. By combining AI, simulation, and digital-twin infrastructure, Akila and BizzTech are supporting the city’s vision to transform its built environment into a network of responsive, data-driven communities that improve residents’ quality of life while accelerating the transition to clean energy. This creates a smooth runway for future deployment of AI agents that enhance safety, energy efficiency, and emissions performance in the city’s smart-neighborhood network.”
What’s new
Smart-neighborhood intelligence: integration of visual and semantic digital twins to create a dynamic model of the Brighton community — linking building performance, environmental data, and safety systems.
The next step in offering end-to-end city scale AI with NVIDIA Blueprint for Smart City AI by applying physical AI computers for simulation, AI model fine-tuning, and video-analytics AI agent deployments. Now with NVIDIA Metropolis and NVIDIA Blueprint for Video Search and Summarization (VSS) integration, Akila can support city deployments from real-time sensor data processing through decision making. Scalable foundation for physical AI: Establishing the groundwork for future deployments that extend from single buildings to districts and city-wide systems.
Collaborative ecosystem: Partnership among Akila, BizzTech, OSE, and Brighton Communities — aligning public and private innovation toward net-zero outcomes.
Quotes
“Seattle’s commitment to sustainable, human-centered urban renewal aligns perfectly with our mission at Akila,” said Philippe Obry, Vice President of Akila. “Through our partnership with BizzTech, we’re demonstrating how the NVIDIA Blueprint for Smart City AI bridges the simulation gap by connecting digital twins to the data generated in buildings and operational processes – creating one responsive ecosystem. This project marks an important stepping stone toward Physical AI — from smart buildings to smart neighborhoods, and eventually, smart cities.”
“At BizzTech, we’re proud to lead Brighton’s journey toward greater sustainability and livability,” said Dirk Schmidt, CEO of BizzTech. “Our platform turns a thousand data points into one clear operating picture. Together with Akila and NVIDIA we’re helping Brighton cut carbon, improve safety, and raise quality of life.”
About BizzTech
BizzTech transforms digital twins into fully interactive, immersive environments through a powerful metaverse layer — unlocking limitless use cases. Through an additional agentic AI layer, BizzTech turns digital twins from passive models into intelligent ecosystems capable of responding, deciding, and acting in real time.
About Akila
Akila is a digital-twin and AI platform for real estate, unlocking portfolio-wide transparency and control over asset performance. Built on OpenUSD, Akila creates semantically rich digital twins that harness siloed building data across systems and sites, making it AI-ready and a driver of measurable gains in efficiency, decarbonization, and occupant well-being.
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and Resiliocs Intelligence launch climate risk management partnership
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
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.
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.
Whitepaper: Future Ready Hotel Portfolios – Unlocking the digital twin & AI opportunity
Akila and Resiliocs Intelligence launch climate risk management partnership
Akila and SIMPPLE Partner to Advance Autonomous, Data-Driven Facilities Management
Take the next step with Akila
If you want better from your buildings, our team is here to help. Let’s set up a call to discuss your needs and show you how Akila works, from deploying digital infrastructure to optimization.
