Machine learning-led decarbonisation platform Ecolibrium launches in the UK – Yahoo Finance
The advisory and climate tech-led sustainability solution has opened a new London HQ after raising $5m in a pre-Series A funding round, to support growing demand from commercial and industrial UK real estate owners striving to meet net zero carbon targets
Ecolibriums Head of Commercial Real Estate Yash Kapila (left) and CEO Chintan Soni (right) will lead the business UK expansion from its new London HQ. Image credit: Max Lacome
UK expansion builds on considerable success in Asia Pacific, where Ecolibrium's technology has been deployed across 50 million sq ft by globally renowned brands including Amazon, Fiat, Honeywell, Thomson Reuters, Tata Power, and the Delhi Metro
The $5m pre-Series A funding round was co-led by Amit Bhatia's Swordfish Investments and Shravin Bharti Mittal's Unbound venture capital firm
Launches in the UK today having already signed its first commercial contract with Integral, real estate giant JLL's engineering and facilities service business
LONDON, June 13, 2022 /PRNewswire/ -- Machine learning-led decarbonisation platform Ecolibrium has today launched its revolutionary sustainability solution in the UK, as the race to reduce carbon emissions accelerates across the built environment.
Founded in 2008 by entrepreneur brothers Chintan and Harit Soni at IIM Ahmedabad's Centre for Innovation, Incubation and Entrepreneurship in India, Ecolibrium provides expert advisory as well as technology-driven sustainability solutions to enable businesses in commercial and industrial real estate to reduce energy consumption and ultimately achieve their net zero carbon ambitions.
Relocating its global headquarters to London, Ecolibrium has raised $5m in a pre-Series A funding round as it looks to expand its international footprint to the UK. The round was co-led by Amit Bhatia's Swordfish Investments and Shravin Bharti Mittal's Unbound venture capital firm, alongside several strategic investors.
Ecolibrium launches in the UK today having already signed its first commercial contract with Integral, JLL's UK engineering and facilities service business.
The fundraising and UK expansion builds on Ecolibrium's considerable success in Asia Pacific, where its technology is being used across 50 million sq ft by more than 150 companies including Amazon, Fiat, Honeywell, Thomson Reuters, Tata Power, and the Delhi Metro. An annual reduction of 5-15% in carbon footprint has been achieved to date by companies which have deployed Ecolibrium's technology.
Story continues
Ecolibrium has also strengthened its senior UK management team, as it prepares to roll-out its green platform across the UK, by hiring facilities and asset management veteran Yash Kapila as its new head of commercial real estate. Kapila previously held senior leadership positions with JLL across APAC and EMEA regions.
Introducing SmartSense
At the heart of Ecolibrium's offer is its sustainability-led technology product SmartSense, which assimilates thousands of internet of things (IoT) data points from across a facility's entire energy infrastructure.
This information is then channelled through Ecolibrium's proprietary machine learning algorithms, which have been developed over 10 years by their in-house subject matter experts. Customers can visualise the data through a bespoke user interface that provides actionable insights and a blueprint for achieving operational excellence, sustainability targets, and healthy buildings.
This connected infrastructure generates a granular view of an asset's carbon footprint, unlocking inefficiencies and empowering smart decision-making, while driving a programme of continuous improvement to deliver empirical and tangible sustainability and productivity gains.
Preparing for future regulation
Quality environmental data and proof points are also providing a distinct business advantage at this time of increasing regulatory requirements that require corporates to disclose ESG and sustainability performance. Ecolibrium will work closely with customers to lead the way in shaping their ESG governance.
According to Deloitte, with a minimum Grade B Energy Performance Certification (EPC) requirement anticipated by 2030, 80% of London office stock will need to be upgraded an equivalent of 15 million sq ft per annum.
Research from the World Economic Forumhas found that the built environment is responsible for 40% of global energy consumption and 33% of greenhouse gas emissions, with one-fifth of the world's largest 2,000 companies adopting net zero strategies by 2050 or earlier. Technology holds the key to meeting this challenge, with Ecolibrium and other sustainability-focused changemakers leading the decarbonisation drive.
Chintan Soni, Chief Executive Officer at Ecolibrium, said:"Our mission is to create a balance between people, planet and profit and our technology addresses each of these objectives, leading businesses to sustainable prosperity. There is no doubt the world is facing a climate emergency, and we must act now to decarbonise and protect our planet for future generations.
"By using our proprietary machine learning-led technology and deep in-house expertise, Ecolibrium can help commercial and industrial real estate owners to deliver against ESG objectives, as companies awaken to the fact that urgent action must be taken to reduce emissions and achieve net zero carbon targets in the built environment.
"Our goal is to partner with companies and coach them to work smarter, make critical decisions more quickly and consume less. And, by doing this at scale, Ecolibrium will make a significant impact on the carbon footprint of commercial and industrial assets, globally."
The UK expansion has been supported by the Department for International Trade's Global Entrepreneur Programme. The programme has provided invaluable assistance in setting up Ecolibrium's London headquarters and scaling in the UK market.
In turn, Ecolibrium is supporting the growth of UK innovation, promoting green job creation, and providing tangible economic benefits, as part of the country's wider transition to a more sustainable future.
Minister for Investment Lord Grimstone said: "Tackling climate change is crucial in our quest for a cleaner and green future, something investment will play an important part in.
"That's why I'm pleased to see Ecolibrium's expansion to the UK. Not only will the investment provide a revolutionary sustainability solution to reduce carbon emissions across various sectors, it is a continued sign of the UK as a leading inward investment destination, with innovation and expertise in our arsenal".
About Ecolibrium
Ecolibrium is a machine learning-led decarbonisation platform balancing people, planet and profit to deliver sustainable prosperity for businesses.
Founded in 2008 by entrepreneur brothers Chintan and Harit Soni, Ecolibrium provides expert advisory as well as technology-driven sustainability solutions to enable commercial and industrial real estate owners to reduce energy consumption and ultimately achieve their net zero carbon ambitions.
Ecolibrium's flagship technology product SmartSense is currently being used across 50 million sq ft by more than 150 companies including JLL, Amazon, Fiat, Honeywell, Thomson Reuters, Tata Power, and the Delhi Metro. SmartSense collects real-time information on assets, operational data and critical metrics using internet of things (IoT) technology. This intelligence is then channelled through Ecolibrium's proprietary machine learning algorithms to visualise data and provide actionable insights to help companies make transformative changes to their sustainability goals.
For more information, visit: http://www.ecolibrium.io
For press enquiries, contact: FTI Consulting: ecolibrium@fticonsulting.com, +44 (0) 2037271000
Photo - https://mma.prnewswire.com/media/1837227/Ecolibrium_Yash_Kapila_and_Chintan_Soni.jpg
Cision
View original content to download multimedia:https://www.prnewswire.com/news-releases/machine-learning-led-decarbonisation-platform-ecolibrium-launches-in-the-uk-301566340.html
SOURCE Ecolibrium
Original post:
Machine learning-led decarbonisation platform Ecolibrium launches in the UK - Yahoo Finance
- These Eight Projects Showcase the Power of Machine Learning on the Edge - Hackster.io - June 29th, 2025 [June 29th, 2025]
- Build Custom AI Tools for Your AI Agents that Combine Machine Learning and Statistical Analysis - MarkTechPost - June 29th, 2025 [June 29th, 2025]
- Check out these essential tips and trends for SEO in 2025 as AI and machine learning loom large - EdTech Innovation Hub - June 29th, 2025 [June 29th, 2025]
- Using machine learning to predict the severity of salmonella infection - Open Access Government - June 28th, 2025 [June 28th, 2025]
- How AI and machine learning are transforming drug discovery - Pharmaceutical Technology - June 28th, 2025 [June 28th, 2025]
- Capturing the complexity of human strategic decision-making with machine learning - Nature - June 26th, 2025 [June 26th, 2025]
- A framework to evaluate machine learning crystal stability predictions - Nature - June 24th, 2025 [June 24th, 2025]
- Machine learning revealed giant thermal conductivity reduction by strong phonon localization in two-angle disordered twisted multilayer graphene -... - June 24th, 2025 [June 24th, 2025]
- How AI and Machine Learning Are Powering the Next Generation of Pump Maintenance - Robotics Tomorrow - June 24th, 2025 [June 24th, 2025]
- Actuate Therapeutics Reports Positive Biomarker and Machine Learning Data from Phase 2 Elraglusib Trial in First-Line Treatment of Metastatic... - June 24th, 2025 [June 24th, 2025]
- Texas A&M Researchers Introduce a Two-Phase Machine Learning Method Named ShockCast for High-Speed Flow Simulation with Neural Temporal Re-Meshing -... - June 22nd, 2025 [June 22nd, 2025]
- Machine learning method helps bring diagnostic testing out of the lab - Medical Xpress - June 22nd, 2025 [June 22nd, 2025]
- Sebi proposes five-point rulebook for responsible use of AI, machine learning - The New Indian Express - June 22nd, 2025 [June 22nd, 2025]
- HAPIR: a refined Hallmark gene set-based machine learning approach for predicting immunotherapy response in cancer patients - Nature - June 20th, 2025 [June 20th, 2025]
- Machine learning boosts accuracy of point-of-care disease detection - News-Medical - June 20th, 2025 [June 20th, 2025]
- How AI and Machine Learning Are Transforming Food Poisoning Outbreak Detection - Food Poisoning News - June 20th, 2025 [June 20th, 2025]
- Evo 2 machine learning model enlists the power of AI in the fight against diseases - Medical Xpress - June 20th, 2025 [June 20th, 2025]
- Machine learning can predict which babies will be born with low birth weights - Medical Xpress - June 20th, 2025 [June 20th, 2025]
- Development and Validation of a Machine Learning Model for Identifying Novel HIV Integrase Inhibitors - Cureus - June 20th, 2025 [June 20th, 2025]
- IIT launches new online certificate programme in data science and machine learning for working profession - Times of India - June 20th, 2025 [June 20th, 2025]
- Calgary startup tackles referee abuse with microphones and machine learning - Yahoo - June 20th, 2025 [June 20th, 2025]
- New machine learning program accurately predicts who will stick with their exercise program - AOL.com - June 20th, 2025 [June 20th, 2025]
- Machine learning and generative AI: What are they good for in 2025? - MIT Sloan - June 4th, 2025 [June 4th, 2025]
- Researchers use machine learning to improve gene therapy - Stanford Report - June 4th, 2025 [June 4th, 2025]
- Machine learning for workpiece mass prediction using real and synthetic acoustic data - Nature - June 4th, 2025 [June 4th, 2025]
- Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Input Representations Matter - Apple Machine Learning Research - June 4th, 2025 [June 4th, 2025]
- Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury - Nature - June 4th, 2025 [June 4th, 2025]
- A machine learning approach to carbon emissions prediction of the top eleven emitters by 2030 and their prospects for meeting Paris agreement targets... - June 4th, 2025 [June 4th, 2025]
- Augmentation of wastewater-based epidemiology with machine learning to support global health surveillance - Nature - June 4th, 2025 [June 4th, 2025]
- Analysis of a nonsteroidal anti inflammatory drug solubility in green solvent via developing robust models based on machine learning technique -... - June 4th, 2025 [June 4th, 2025]
- Your DNA Is a Machine Learning Model: Its Already Out There - Towards Data Science - June 4th, 2025 [June 4th, 2025]
- Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning... - June 4th, 2025 [June 4th, 2025]
- Predicting long-term patency of radiocephalic arteriovenous fistulas with machine learning and the PREDICT-AVF web app - Nature - June 4th, 2025 [June 4th, 2025]
- How Machine Learning and Cascade Learning Open Doors of Advanced Automation - Supply & Demand Chain Executive - June 4th, 2025 [June 4th, 2025]
- New Hydrogenation Reaction Mechanism for Superhydride Revealed by Machine Learning - Asia Research News | - June 4th, 2025 [June 4th, 2025]
- AI experiences rapid adoption, but with mixed outcomes Highlights from VotE: AI & Machine Learning - S&P Global - June 4th, 2025 [June 4th, 2025]
- IIPE introduces online M.Tech in Data Science and Machine Learning for working professionals - India Today - June 4th, 2025 [June 4th, 2025]
- Introducing Windows ML: The future of machine learning development on Windows - Windows Blog - May 19th, 2025 [May 19th, 2025]
- Settlement strategies and their driving mechanisms of Neolithic settlements using machine learning approaches: a case study in Zhejiang Province -... - May 19th, 2025 [May 19th, 2025]
- MyWear revolutionizes real-time health monitoring with comparative analysis of machine learning - Nature - May 19th, 2025 [May 19th, 2025]
- Leveraging stacking machine learning models and optimization for improved cyberattack detection - Nature - May 19th, 2025 [May 19th, 2025]
- Predicting land suitability for wheat and barley crops using machine learning techniques - Nature - May 10th, 2025 [May 10th, 2025]
- AI and Machine Learning - Ribeiro Preto adopts Optibus to optimise public bus system - Smart Cities World - May 10th, 2025 [May 10th, 2025]
- Childrens Hospital Los Angeles Leads Development of First Machine Learning Tool to Predict Risk of Cisplatin-Induced Hearing Loss - Business Wire - May 10th, 2025 [May 10th, 2025]
- Google is using machine learning to help Android users avoid unwanted and dangerous notifications - BetaNews - May 10th, 2025 [May 10th, 2025]
- London School of Emerging Technology (LSET) Concludes International Workshop on Emerging AI & Machine Learning Innovation - Barchart.com - May 10th, 2025 [May 10th, 2025]
- Thermal performance, entropy generation, and machine learning insights of AlO-TiO hybrid nanofluids in turbulent flow - Nature - May 10th, 2025 [May 10th, 2025]
- Predicting the efficacy of bevacizumab on peritumoral edema based on imaging features and machine learning - Nature - May 10th, 2025 [May 10th, 2025]
- How AI and machine learning are supercharging video conferencing tools - European CEO - May 10th, 2025 [May 10th, 2025]
- The need for a risk-based approach to AI and machine learning in healthcare - Health Tech World - May 10th, 2025 [May 10th, 2025]
- Integrated bioinformatics, machine learning, and molecular docking reveal crosstalk genes and potential drugs between periodontitis and systemic lupus... - May 10th, 2025 [May 10th, 2025]
- Adversarial Machine Learning in Detecting Inauthentic Behavior on Social Platforms - AiThority - May 10th, 2025 [May 10th, 2025]
- Exploring crop health and its associations with fungal soil microbiome composition using machine learning applied to remote sensing data - Nature - May 10th, 2025 [May 10th, 2025]
- Trust-based model and machine learning improve forest fire detection system - International Fire & Safety Journal - May 10th, 2025 [May 10th, 2025]
- A machine learning engineer shares the rsums that landed her jobs at Meta and X and what she'd change if she applied again - Business Insider Africa - May 5th, 2025 [May 5th, 2025]
- Recentive Analytics v. Fox: The Federal Circuit Provides Analysis on the Patent Eligibility of Machine Learning Claims - Mintz - May 5th, 2025 [May 5th, 2025]
- A machine learning engineer shares the rsums that landed her jobs at Meta and X and what she'd change if she applied again - Business Insider - May 5th, 2025 [May 5th, 2025]
- Enhancing urban resilience through machine learning-supported flood risk assessment: integrating flood susceptibility with building function... - May 5th, 2025 [May 5th, 2025]
- MicroAlgo Inc. Develops Classifier Auto-Optimization Technology Based on Variational Quantum Algorithms, Accelerating the Advancement of Quantum... - May 5th, 2025 [May 5th, 2025]
- Enhanced metal ion adsorption using ZnO-MXene nanocomposites with machine learning-based performance prediction - Nature - May 5th, 2025 [May 5th, 2025]
- Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births - BMC Pregnancy and Childbirth - May 5th, 2025 [May 5th, 2025]
- Machine learning provide new insights into how the brain responds to heroin use - News-Medical - May 2nd, 2025 [May 2nd, 2025]
- Machine Learning and AI in Basic HIV Research: From Big Data Analysis to Large Language Models - UNC Gillings School of Global Public Health - May 2nd, 2025 [May 2nd, 2025]
- Machine learning brings new insights to cells role in addiction, relapse - University of Cincinnati - May 2nd, 2025 [May 2nd, 2025]
- UH/UC Researchers Use Machine Learning to Map Brain Changes from Heroin Addiction - University of Houston - May 2nd, 2025 [May 2nd, 2025]
- Machine Learning Algorithm Predicts Shiba Inu Price In May You Should See This - The Crypto Update - May 2nd, 2025 [May 2nd, 2025]
- Seerist partners with SOCOM to enhance AI and machine learning for special operations - Defence Industry Europe - May 2nd, 2025 [May 2nd, 2025]
- How machine learning can spark many discoveries in science and medicine - The Indian Express - April 30th, 2025 [April 30th, 2025]
- Machine learning frameworks to accurately estimate the adsorption of organic materials onto resin and biochar - Nature - April 30th, 2025 [April 30th, 2025]
- Gene Therapy Research Roundup: Gene Circuits and Controlling Capsids With Machine Learning - themedicinemaker.com - April 30th, 2025 [April 30th, 2025]
- Seerist and SOCOM Enter Five-Year CRADA to Advance AI and Machine Learning for Operations - PRWeb - April 30th, 2025 [April 30th, 2025]
- Machine learning models for estimating the overall oil recovery of waterflooding operations in heterogenous reservoirs - Nature - April 30th, 2025 [April 30th, 2025]
- Machine learning-based quantification and separation of emissions and meteorological effects on PM - Nature - April 30th, 2025 [April 30th, 2025]
- Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic... - April 30th, 2025 [April 30th, 2025]
- AQR Bets on Machine Learning as Asness Becomes AI Believer - Bloomberg.com - April 30th, 2025 [April 30th, 2025]
- Darktrace enhances Cyber AI Analyst with advanced machine learning for improved threat investigations - Industrial Cyber - April 21st, 2025 [April 21st, 2025]
- Infrared spectroscopy with machine learning detects early wood coating deterioration - Phys.org - April 21st, 2025 [April 21st, 2025]
- A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems - Nature - April 21st, 2025 [April 21st, 2025]
- Machine learning model to predict the fitness of AAV capsids for gene therapy - EurekAlert! - April 21st, 2025 [April 21st, 2025]
- An integrated approach of feature selection and machine learning for early detection of breast cancer - Nature - April 21st, 2025 [April 21st, 2025]