YOUR

SHOPPING MALL

is smarter than you think…

Our Customers

The built sector is the largest contributor to climate change utilising 60% of the worlds electricity. This comes as no surprise, with existing BMS systems being inaccurate, manual HVAC scheduling being limiting and the existence of imperfect legacy data.

As a result, this contributes greatly to the level CO2 in the atmosphere and as a bi-product building owners are being impacted financially.

The built sector is the largest contributor to climate change utilising 60% of the worlds electricity. This comes as no surprise, with existing BMS systems being inaccurate, manual HVAC scheduling being limiting and the existence of imperfect legacy data.

As a result, this contributes greatly to the level CO2 in the atmosphere and as a bi-product building owners are being impacted financially.

60 %
The built sector utilising 60%
of the worlds electricity

The Solution

AI-powered energy Efficiency

At Arloid we believe that the technology created by humankind should be used to create a better world and move us one step closer to achieving net zero.

Arloid AI assists your net zero journey by using Deep Reinforcement Learning tools that can continuously analyse endless combinations of site-specific factors, which then determines the most efficient parameters for each autonomous zone in your building in real time.

 As a result, you will see a 30% energy cost reduction and a 40% carbon footprint reduction, all without compromising occupant comfort.

30 %
Energy cost reduction: up to 30%
40 %
Lower CO2 footprint: up to 40%
Air-flow Speed
Air-flow
Speed
Live Building Data
Live Building
Data
Live Environments Factors
Live Environments
Factors
Activity Rate
Activity
Rate
Specifics of Each Building Zone
Specifics of Each
Building Zone
Humidity & Temperature
Humidity &
Temperature

5,000+ daily live micro-adjustments
to the temperature ecosystem

With Arloid, your building becomes smarter. With the use of our technology, you will see reduced HVAC costs, a lower carbon footprint, improved occupant comfort, and an extension in the lifetime of your equipment.

How do we achieve our results?

Real time data processing

Real time data processing

By using an advanced algorithm that works using live data in real time, Arloid AI Solution can deliver optimal HVAC performance – creating a more comfortable and more efficient building at the same time.
Efficient AI training

Efficient AI training

Aside from internal stimulants, Arloid AI uses external factors including weather conditions and air humidity as well as millions of data points from previously trained AI models.
Quick integration

Quick integration

Furthermore, this model requires no additional investment. We install it to your existing systems so it is quick and easy to deploy.

Where is Arloid currently deployed?

Trusted by customers in real estate around the world, deployed on over

59201507 sq. ft.

Our Advisors

Paul Raftery

Paul Raftery

Professional Researcher at University of California Berkeley

Paul Raftery

Professional Researcher at University of California Berkeley
Buildings are often poorly positioned to efficiently create a desirable indoor environment because of how they are designed and operated. I experienced this first-hand as a facilities engineer and since then I’ve had a keen interest in trying to improve this situation. I soon realized that much of the necessary information, and many of the technologies and tools are simply not available or are not cost-effective. This led me to pursue a research career to do what I can to address this.

Over the last decade and a half I have had several different perspectives in the built environment field – as an facilities engineer, a consultant, and a professional researcher. I have hands-on experience in a range of different areas: HVAC engineering; whole building energy modeling; building management systems and controls; fault detection & diagnosis; measurement and verification; full-scale laboratory experiments; new technology development; and demonstrations in case study buildings.
Curig Johnston

Curig Johnson

Director of Base Management and Data at British Telecom Group

Curig Johnson

Director of Base Management and Data at British Telecom Group
Curig is a senior executive with more than 20 years of transforming customer experience and commercial performance for leading companies throughout Europe, North America and Australia. A global leader in data-driven personalization and value optimization of customer base and operations who has built several innovative growth businesses to monetize data.
Romanos Vetridis

Romanos Vetridis

Partner & CFO at Ruvento Ventures

Romanos Vetridis

Partner & CFO at Ruvento Ventures
Romanos is a seasoned financier with a solid track record in large corporates and the Venture Capital area. Since the inception of his career as a Financial Analyst for Coca-Cola HBC (EU), Romanos has advanced his experience in finance to become a CFO for CIRSA (Spain). His investment portfolio contains Some of the most notable projects:
Boom Supersonic
Mighty Buildings
Solugen
Mark Moloney

Mark Moloney

Director at Europa Labs

Mark Moloney

Director at Europa Labs
Development of software solutions from research to production, surfing the leading edge of technology. Waves to date have been web-scale applications and marketplaces, identity, search, mobile, data science, and big data to fuel machine learning. Mark’s current and emerging areas of focus include edge computing and multiparty data exchange, federated analytics, cybersecurity using big data, and open AI platforms for machine learning embedded products.
Carlos Chanduvi

Carlos E. Chanduvi Suarez

Ex-Senior Coordinator Climate Technologies and Innovation Division, Energy Department at United Nations Industrial Development Organization

Carlos E. Chanduvi Suarez

Ex-Senior Coordinator Climate Technologies and Innovation Division, Energy Department at UNIDO
Dr. Carlos Chanduvi is a Climate Change Advisor at Arloid Automation and brings more than 30 years of experience in international consultancy, training, and lecturing with academic, public, policymakers, and business sectors. Prior to joining the company, he held senior positions with the United Nations Industrial Development Organization (UNIDO) in LATAM, EMEA, Asia, and Central Asia. Dr. Chanduvi has extensive experience in project management, strategic and organizational innovation, and knowledge management. In addition to his current role, he serves as an Associate Lecturer at the Open University Business School, as a Lead Auditor and Trainer for European Management Systems certification bodies and cloud service providers with Information Security System International (ISSI), USA.

Dr. Chanduvi has a MSc in engineering (Russian Federation), PhD. in Advanced Material Technologies (Austria), a Diploma in Economics and International Relations (Austria), Diploma in International Business, London School of Economics. He is an accomplished international speaker with a large number of presentations at international conferences under his belt.

What Buildings Can Benefit?

  • Hotels

    Hotels

    Hotels diversity is unique
  • Shopping Malls

    Shopping Malls

    We appreciate experience retail
  • Airports

    Airports

    We appreciate airport strategy
  • Hospitals

    Hospitals

    Hospital history is unique
  • Universities

    Universities

    Universities are unique institutions
  • Data Centers

    Data Centers

    Energy matters locally too
  • Expo Centers

    Expo Centers

    Expo has a dynamic environment
  • Warehouses

    Warehouses

    Warehouses are complex
  • Mosques

    Religious Establishments

    Darul Ghufran: The First Smart Mosque in Singapore
  • Office Buildings

    Office Buildings

  • Hotels
  • Shopping Malls
  • Airports
  • Hospitals
  • Universities
  • Data Centers
  • Expo Centers
  • Warehouses
  • Mosques
  • Office Buildings
  • Hotels

    Hotels

    Hotels diversity is unique
    Hotels are the most diverse buildings we work with. Converted English manor houses, brand new towers in Dubai, beach resorts in southern Asia – they all have one thing in common. Guest comfort is paramount so our AI learns the exact nature of each hotel and zones each one into microclimates to enhance comfort.
  • Shopping Malls

    Shopping Malls

    We appreciate experience retail
    Retail is a consumer experience, which means Net Zero must not diminish consumer comfort. Our AI breaks malls into microclimate zones, reducing HVAC energy use while converging on global comfort indexes for each zone – be it walking through open concourses, sitting down to dinner or browsing in luxury stores.
  • Airports

    Airports

    We appreciate airport strategy
    We know why duty-free corridors arc to the left, that security is more than scanners, and how business critical the “golden hour” is. So we understand the many zones that need micromanaging to keep people moving or keep people static, which is why our AI optimises HVAC in real time to get each zone perfect.
  • Hospitals

    Hospitals

    Hospital history is unique
    We know hospitals evolve, resulting in highly varied campuses of complex wings and buildings with very different ages and uses. That’s why our multi-cloud AI works across any BMS system and HVAC infrastructure within hospitals – optimising energy, safety and comfort from most advanced to the longest-standing facilities.
  • Universities

    Universities

    Universities are unique institutions
    Rapidly evolving expectations and programmes for students, researchers and academics means flexibility is important – tomorrow will not be the same as today. So in universities our AI reduces energy and optimises comfort by learning from live data instead of regression modelling based on old information.
  • Data Centers

    Data Centers

    Energy matters locally too
    Data may be global but every centre is local. Local weather, culture and data peaks changes quickly. Our AI for data centres works on live data rather than past trends, so it optimises temperatures within each zone of each data centre every minute of every day for real life conditions, not estimates or averages.
  • Expo Centers

    Expo Centers

    Expo has a dynamic environment
    While expo experience a very dynamic operation, where some people walk fast to catch a meeting and others stay by the stand, HVAC is not dynamic, leading to a massive overcooling of space.
  • Warehouses

    Warehouses

    Warehouses are complex
    Maintaining a proper environment in warehouses is vital, which can be different depending on the goods stored and the location. Arloid AI will zone the premises, establish the microclimates, and ensure that it is satisfied while using the least energy-consuming HVAC settings.
  • Mosques

    Religious Establishments

    Darul Ghufran: The First Smart Mosque in Singapore
    Darul Ghufran, the largest mosque in Singapore decided to embark on a green journey in 2019. After renovating the establishment, Darul Ghufran actively focused on becoming a smart building and took impactful steps to reduce the energy and carbon footprint of the building. In 2021, Arloid Automation and Darul Ghufran’s journey to becoming the first mosque utilizing Artificial Intelligence in Singapore commenced.
  • Office Buildings

    Office Buildings

    Office buildings and co working spaces by their nature comprise many different groups all working in the same space – and each person may have their own individual expectations, preferences, and behaviours when it comes to energy use. Arloid AI helps to zone these premises, establish the microclimates, and ensure that each zone is satisfied while using the least energy-consuming HVAC settings.
  • Hotels
  • Shopping Malls
  • Airports
  • Hospitals
  • Universities
  • Data Centers
  • Expo Centers
  • Warehouses
  • Mosques
  • Office Buildings

What do our clients and partners think?

Mosque Executive Chairman
“We are excited to see arloid.ai in action delivering real savings especially considering the recent energy price hikes. We value our fair commercial arrangement and the fact that the system is safe and reliable. We look forward to seeing arloid.ai in other mosques in Singapore.”

— Muhammed Faizal Abdollah,
Mosque Executive Chairman
myCloudDoor
“We are always looking for the best innovative solutions for our customers. With Arloid Automation, AI based on Cloud, we help our customers to optimize their energy consumption, reducing costs and minimizing their carbon footprint.”

— Javier Aguado La Iglesia,
Cloud Services Director at myCloudDoor
Sigma Integrated Technical Services
“We trust the technology and People behind Arloid, together we’ll change a vision to a reality”

— Marwan Baassiri,
Managing Partner of Sigma Integrated Technical Services L.L.C
InTech
“We are excited as well and engaging in full thrust with the potential customers, and definitely will meet down the road to talk about the strategy ahead.”

— InTech

Arloid Awards

Propel by MIPIM 2021
Propel by MIPIM 2021
Winners
Sustainability
Futurology.life
Futurology.life
Top 20 Best Energy Startups
Startupill
Startupill
Top Machine Learning startups
PWC
PWC
Top 20 Best Techimpact Companies
Vienna Energy Forum
Vienna Energy Forum
Panel
speakers
17x
17x
Best Energy
Management Comps

How much will I save?

Annual Savings:

$ 890

$ 890

3,600,000 kWh

Arloid AI will reduce Carbon Dioxide (CO2) emission by 896 Metric Tons.
This is the equivalent of:

9,039

tree seedlings grown for 10 years

66,495,631

smartphones charged

1,356,891

miles driven by an average gasoline-powered passenger vehicle

604,816

pounds of coal burned

Start saving today!

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