VERSES Demonstrates Smart Building Energy Optimization
Rhea-AI Summary
VERSES AI (OTCQB:VRSSF) has showcased its smart building energy optimization technology at the invite-only Turing Grand Challenge at AI UK 2025. The exhibition, titled 'EcoNet: a Multi-Agent Active Inference System for Urban Energy Optimisation,' demonstrates how multiple AI agents can collaborate to optimize building energy management.
The system goes beyond traditional rule-based energy control by considering variables such as hyper-local weather, multiple energy sources (grid, solar, battery), carbon emissions, and room occupancy. According to the US Department of Energy, buildings account for 40% of global energy consumption, with approximately one-third wasted, resulting in $150 billion in annual losses.
The project, developed in collaboration with University College London (UCL), aims to address environmental and sustainability objectives by managing energy use effectively through autonomous multi-agent coordination. The technology is applicable across various scales, from studio apartments to skyscrapers and industrial buildings.
Positive
- Technology addresses $150 billion annual energy waste market opportunity
- Partnership with prestigious University College London (UCL)
- Scalable solution applicable from residential to industrial buildings
- Advanced AI capability demonstrated at exclusive Turing Grand Challenge
Negative
- No immediate revenue or commercial implementation timeline provided
- Results of the technology demonstration not yet disclosed
News Market Reaction 1 Alert
On the day this news was published, VRSSF declined 3.82%, reflecting a moderate negative market reaction.
Data tracked by StockTitan Argus on the day of publication.
Exhibition Showcases Multi-Agent Smart Grid Automation and Efficiency Management
VANCOUVER, British Columbia, March 18, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE:VERS) (OTCQB:VRSSF) ("VERSES'' or the "Company”) a cognitive computing company specializing in next-generation intelligent software systems, announces the completion and exhibition of its work on sustainable building management, or smart homes, for the invite-only Turing Grand Challenge at AI UK 20251 on March 17th and 18th.
“We believe the challenge with today’s rule-based energy control systems, such as smart homes, is that they are reactive and don’t take into account other variables like hyper-local weather, multiple energy sources (grid, solar, battery), carbon emissions or room occupancy, and therefore they really aren't ‘smart’,” said VERSES CEO, Gabriel René. “In this exhibition, we show how multiple agents working together can better predict which actions to take, given various trade-offs to achieve a desired goal. This might include deciding to switch a source of power from solar to electrical or preemptively adjust heating and cooling temperature based on weather conditions, occupancy, cost or efficiency goals.”
According to the US Department of Energy, buildings are responsible for
The VERSES exhibit, entitled EcoNet: a Multi-Agent Active Inference System for Urban Energy Optimisation, is a joint effort between VERSES researchers and University College London (UCL), that addresses a key aspect of the environment and sustainability objectives of Turing Grand Challenge, which seeks to develop AI systems that can reduce the impacts of climate change by managing energy use effectively.
“We believe this demonstration of autonomous multi-agent coordination in a complex dynamic system like energy management is an ideal showcase for Genius,” said CTO Hari Thiruvengada. “While this specific use case is applicable from studio apartments all the way up to skyscrapers and to large industrial buildings, the more general problem that Genius is designed to solve is generating reliable predictions in the face of complex, uncertain and changing conditions that can be applied across enterprises universally.”
The Company expects to share further details regarding the results of this test in an upcoming blog at Verses.ai.
About VERSES
VERSES is a cognitive computing company building next-generation intelligent software systems modeled after the wisdom and genius of Nature. Designed around first principles found in science, physics and biology, our flagship product, Genius™, is a suite of tools for machine learning practitioners to model complex dynamic systems and generate autonomous intelligent agents that continuously reason, plan, and learn. Imagine a Smarter World that elevates human potential through technology inspired by Nature. Learn more at verses.ai, LinkedIn, and X.
On behalf of the Company
Gabriel René, Founder & CEO, VERSES AI Inc.
Press Inquiries: press@verses.ai
Investor Relations Inquiries
U.S., Matthew Selinger, Partner, Integrous Communications, mselinger@integcom.us 415-572-8152
Canada, Leo Karabelas, President, Focus Communications, info@fcir.ca 416-543-3120
About UCL
Founded in 1826 in the heart of London, UCL is London's leading multidisciplinary university, with more than 16,000 staff and 50,000 students from over 150 different countries.
Media contact
Matt Midgley
Tel: +44 (0)20 3108 6995
Email: m.midgley [at] ucl.ac.uk
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1 https://verses.atlassian.net/wiki/spaces/RDLAB/pages/1068400658/UK+Turing+Institute+-+Grand+Challenge+-+Demo+UK+2025
2 https://www.energy.gov/articles/doe-announces-46-million-boost-energy-efficiency-and-slash-emissions-residential-and
FAQ
What is the main purpose of VERSES AI's (VRSSF) EcoNet system demonstrated at AI UK 2025?
How much energy waste could VRSSF's smart building technology potentially address?
What distinguishes VERSES AI's (VRSSF) system from traditional smart home technology?
What types of buildings can implement VERSES AI's (VRSSF) energy management system?
