Arloid Automation logo — the ultimate AI solution for energy saving (AI for real esta...

Arloid Automation

the ultimate AI solution for energy saving (AI for real estate)

Founded 2019 United Kingdom London, United Kingdom 39 employees Pre-Seed Total: $3.30M AI, Energy +3

General Information

Company Name Arloid Automation
Founded Year 2019
Location United Kingdom London, United Kingdom
Founders / Decision Makers
Team member
Employees 39
Industries AI, Energy, Information Technology +2
Funding Stage Pre-Seed
Business Model B2B, SaaS, B2B2B
Revenue Model Performance Based, Usage Based, Subscription

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About Arloid Automation

Arloid Automation, founded in 2019, is pioneering the use of AI to resolve energy inefficiencies in the real estate sector. Described as "the ultimate AI solution for energy saving (AI for real estate)", this company is breaking new ground with deep learning and digital twin technologies that optimize energy management systems.

Their solution offers up to a 40% reduction in utility bills and carbon emissions, all with zero CAPEX and no hardware installation. This means significant ROI with a promise of results in just under 60 days. Currently, Arloid Automation is managing properties exceeding 15,000,000 sq.ft. across the globe, spanning regions like the US, Europe, Asia, and the Middle East.

Based in the United Kingdom, they maintain offices in Dubai and Singapore, and collaborate through a robust international partner network. The company’s recent financial milestone is a $1.10M Pre Seed Round investment secured on 01 September 2020. As a leader in the converging industries of AI, energy, and IT, Arloid Automation is a promising venture for those looking to invest in sustainable technology solutions.

Taxonomy: AI-based Solutions, Energy Efficiency, Real Estate Technology, MEP Systems Management, Deep Reinforced Learning, Digital Twin Technology, HVAC Optimization, Utility Cost Reduction, Carbon Footprint Reduction, Zero CAPEX Implementation, Sustainability Objectives, Smart Building Management, ESG Compliance, Energy Conservation, Green Building Solutions

Services & Products

AI-based HVAC automation
Energy efficiency optimization
Carbon footprint reduction

Target Customers

Shopping malls Hotels Airports Hospitals Universities Data centers Expo centers Warehouses Religious establishments Office buildings

Funding Rounds & Investors (4)

View All
Funding Stage Amount Investors Lead Investors Date
Pre Seed Round $1.10M -
01 Sep 2020
Pre Seed Round $700.00K -
01 Aug 2020
Pre Seed Round $700.00K -
30 Mar 2020
Pre Seed Round $800.00K 1
Ruvento
15 Dec 2019

Arloid Automation Alternatives & Competitors

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FAQ About Arloid Automation

the ultimate AI solution for energy saving (AI for real estate)
Arloid Automation was founded in 2019.
Arloid Automation is headquartered in London, United Kingdom.
Arloid Automation operates in AI, Energy, Information Technology, Energy Efficiency and Machine Learning. Its work centres on AI-based Solutions, Energy Efficiency, Real Estate Technology and MEP Systems Management. Its customers include Shopping malls, Hotels and Airports.
Arloid Automation has a B2B, SaaS and B2B2B business model. Its revenue comes from Performance Based, Usage Based and Subscription.
Arloid Automation has approximately 39 employees.
Arloid Automation has completed 4 funding rounds, raising a total of $3.30M. The latest funding stage is Pre-Seed.
Arloid Automation offers: AI-based HVAC automation, Energy efficiency optimization, Carbon footprint reduction.
Top alternatives and competitors to Arloid Automation include dnergy®, GlacierGrid, Smart Energy Solutions LLC, Bueno, V-Count. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
Arloid Automation and dnergy® are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for Arloid Automation, https://bouncewatch.com/company/arloid-automation, updated 25 September 2026. When citing, please name BounceWatch and link this page.

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