AI-powered energy Efficiency. At Arloid we believe that the technology created by human kind should be used to create a better world and move us one step closer to achieving net zero.
Using Deep Reinforcement Learning these tools can continuously analyse endless combinations of site-specific factors to determine the most efficient parameters for each autonomous zone in real time. Leading to 40% energy cost reduction, 40% carbon footprint reduction and all of this without compromising occupant comfort.
AI-powered energy Efficiency.
At Arloid we believe that the technology created by human kind should be used to create a better world and move us one step closer to achieving net zero.
Using Deep Reinforcement Learning these tools can continuously analyse endless combinations of site-specific factors to determine the most efficient parameters for each autonomous zone in real time. Leading to 40% energy cost reduction, 40% carbon footprint reduction and all of this without compromising occupant comfort.
arloid.ai integrates with all components of HVAC (Heating, Ventilation & Air Conditioning) infrastructure, incl. chillers, AHUs, cooling towers, FCUs, pumps, fans, VAVs, VFUs etc. For successful deployment, we require connectivity to either BMS or a centralised HVAC control system. BMS and building managers will retain full control and access rights for all HVAC devices.
We examine connectivity for HVAC systems and all relevant devices during site assessment and before the simulation phase.
The actual savings on monthly basis may vary due to constantly changing external environmental conditions. However, the actual savings over the period of 12 months will be very close to the simulation results.
Yes, site operations team retains full control of individual devices and is able to manually overwrite the suggested by AI settings. This can be done either through Arloid Dashboard or through the existing Building Management System.
No, arloid.ai connects to the existing BMS (Building Management System) and works alongside it.
ISO27001 Compliance
In alignment with the ISO27001 standard, we are committed to following best practices and have implemented all the necessary measures such as regular vulnerability management and patching, staff access control reviews, defined segregation of duties and privacy by design amongst all other principles.
Data Protection Regulation Compliance
In compliance with the local data protection regulations of each country Arloid is providing services in, we adhere to the local authorities’ guidance by storing customer data locally and ensuring we comply with each country latest Data Protection requirements.
Data Privacy Impact Assessments (DPIA)
A Data Privacy Assessment (DPA) is conducted as a part of each new customer site connection to ensure we utilize the most secure and efficient option.
IPsec tunnel
The communication channel between the arloid.ai cloud and client site is established over IPsec (Internet Protocol Security) – a secure network that provides encrypted communication between the site and arloid.ai cloud. The channel is deployed in virtual private network (VPNs) environments.
Cloud security
Output data from the client’s HVAC systems is stored in the arloid.ai cloud, with security measures implemented by Arloid’s cloud service provider, including multi-factor authentication for the servers that host arloid.ai. We use hyperscalers (AWS, Microsoft Azure or Alibaba Cloud) to deploy our platform in the best environments available in each region.
In order to gain access to the data, Arloid employees are required to gain access through “root” credentials, replace/find unique VPN client credentials and to identify the right instance. The access rights are provided for a predefined time period to ensure compliance with security measures. Access monitoring tools are also in place.
Anonymised data
We assign a uniquely generated Site ID (“sid”) to each site dataset. The data and the reference to the client site are stored in segregated sources to prevent data breach.
Segregated storage
We use segregated storage for testing and for live client data to mitigate risks. Live client data is stored in the Production environment while the Development environment is used for test data. Access to client data is restricted and governed by Arloid internal policies, which require approval from the company senior management and the head of IT department.
Data backup
Data backup and data recovery procedures are performed on regular basis by our IT support. In order to comply with our internal policies, these processes are reviewed on a regular basis.
One-way data flow
During simulation phase, we establish communication channel with the client site with read-only access to collect the site data. All interfaces and code transmitting commands for the site remain inactive during this period.
Restricted access
Access to the AI simulation results is restricted and available only for our account/sales team. Access rights to each site data set are governed by our internal policy to ensure the client data safety and confidentiality.
The Sales team are only granted visibility to their assigned customer accounts on the Arloid Dashboard
Additional measures
Our comprehensive security includes additional measures to protect direct access to data or web server gateways. Our security policy requires both, whitelisting of the IP address as well as obtaining security key. We review our policies on a regular basis in order comply with the information security requirements.
Commercial Phase
The below measures are in place for our SaaS solution:
We do not connect directly to the BMS unless API functionality is configured and made available to Arloid. In most cases we connect at the lower level to the BMS router/switch that communicates with HVAC infrastructure using standard protocols such as BACNet, ModBus, LonWorks, etc. Using this approach ensures that we do not modify any configurations of the BMS system. We do not make any modifications to the customer HVAC controllers neither.
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