Eco Begins Work on AI-Enabled Housing Platform

Summary by AI BETAClose X

Eco Buildings Group PLC has commenced construction of its second-generation AI-enabled manufacturing platform in Durres, Albania, immediately deploying £2.35 million from its recent fundraising. This new platform, expected to be operational in Q4, is designed for enhanced efficiency and productivity, aiming for up to 5x faster construction speed, 50% lower build costs, and approximately 40% lower CO₂ emissions compared to traditional methods. The company views itself as a housing technology platform, leveraging proprietary GFRG technology, advanced automation, and AI to address global housing shortages with a scalable and replicable model.

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Eco Buildings Group PLC
24 June 2026
 

24 June 2026

ECO BUILDINGS GROUP PLC

("Eco Buildings", "Eco" or the "Company")

 

ECO COMMENCES CONSTRUCTION OF TRANSFORMATIVE SECOND-GENERATION AI-ENABLED MANUFACTURING PLATFORM

Immediate Deployment of Fundraising Proceeds into Next-Generation Capacity

Step-Change in Technology Positions Eco as Scalable Housing Technology Platform

Replicable Model for Global Deployment Across Multiple Jurisdictions

Eco Buildings Group plc (AIM: ECOB), the AIM-listed technology-led housing manufacturing company, is pleased to announce that, following the successful completion of its recent £2.35 million fundraising, it has placed the order and construction has commenced with immediate effect on its second-generation AI-enabled manufacturing platform at its production facility in Durres, Albania. This represents a major milestone in the Company's evolution and the first significant deployment of the recently raised capital into productive, high-return assets. Eco expects to have this second manufacturing line operational within Q4 of this year.

The new platform has been substantially redesigned and re-engineered using operational data, engineering learnings and manufacturing intelligence from the Company's existing fully automated production line in Albania (which has been operational since mid-2024 and produced over 42,000 m² of high-quality GFRG wall panels in the first half of 2025 on a single-shift basis).

Unlike conventional or first-generation modular systems, the second-generation platform is being developed around advanced automation architecture integrated with Artificial Intelligence. The objective is to create one of the most advanced, continuously improving industrial housing manufacturing systems currently in development.

Key AI-Enabled Capabilities Under Development

·    Predictive maintenance (targeting up to 30% lower maintenance costs and significantly reduced unplanned downtime)

·    Automated visual quality assurance and real-time process optimisation

·    Intelligent production scheduling and bottleneck identification

·    Adaptive manufacturing control and automated fault diagnostics

·    Energy optimisation and manufacturing analytics

·    Production forecasting and continuous operational learning

As operational data accumulates, the platform is designed to become progressively more efficient, productive and reliable - creating a powerful data-driven competitive moat.

Quantified Performance Advantages

The Directors are confident that Eco's proprietary Glass Fibre Reinforced Gypsum (GFRG) technology, combined with advanced manufacturing, can deliver compelling advantages versus traditional construction:

·    Up to 5x faster construction speed

·    Up to 50% lower build costs

·    Approximately 40% lower CO₂ emissions

·    Significantly reduced material usage (35% less steel, 51% less cement, 75% less water, 76% less sand)

·    Inherently strong, durable and resilient (seismic performance to 8.5 Richter scale, high cyclone resistance, 4-hour fire rating)

Each standardised production line is expected to deliver approximately 1,440 m² per day (equivalent to ~6 homes per day per line) at capex of less than $5 million per line. This creates a highly scalable, replicable model where capacity can be expanded through the addition of standardised lines rather than proportional increases in labour.

Illustrative Scalability (per line output)

Manufacturing Lines

Homes Built per Day

Homes per Annum

Annual Capacity Growth

1 Line

~6 homes/day

~2,165

Baseline

10 Lines

~60 homes/day

~21,900

10x

50 Lines

~300 homes/day

~109,500

50x

100 Lines

~600 homes/day

~219,000

100x

 

Immediate Execution on Fundraising Proceeds

The rapid placement of the order and commencement of construction demonstrates the Board's commitment to disciplined and swift deployment of capital into assets that will drive long-term shareholder value. The new platform will materially increase manufacturing output while simultaneously advancing the Company's technological capabilities and competitive positioning.

Addressing Structural Housing Shortages

The global housing sector faces one of the largest supply-demand imbalances in modern history. Industry estimates indicate approximately 96,000 new homes are required globally every day, while more than 1.6 billion people currently live in inadequate housing conditions.

In the UK alone, the housing gap stands at approximately 6.5 million homes compared to European peers, with England accounting for the majority of the shortfall. Closing this gap by 2040 would require sustained delivery of around 565,000 homes per year - more than double recent completion rates.

Traditional construction methods are structurally unable to close this gap at the required speed, quality and cost. Eco believes the future leaders in housing will be those that combine advanced materials, intelligent manufacturing, automation and AI into scalable, replicable production platforms. Eco intends to be one of those leaders.

Strategic Positioning: Housing Technology Platform

The Board increasingly views Eco as a housing technology company rather than a traditional construction business. The combination of proprietary GFRG technology, advanced automation and AI integration, data-driven manufacturing intelligence, and future digital twin and smart building capabilities creates a differentiated and defensible platform with significant long-term potential.

Each future manufacturing platform is intended to operate as a standardised, replicable production unit. Future facilities (whether in the UK, Chile, Africa or elsewhere) are expected to benefit from common engineering standards, shared manufacturing intelligence and accumulated operational knowledge - enabling rapid, high-quality international scaling while maintaining consistency and control.

This model has already been proven at scale on major projects (including Dubai Motor City) and is supported by international certifications (CE, ISO, fire, seismic).

Dr Etrur Albani, Executive Vice Chairman, commented: "Today marks one of the most important milestones in Eco's history. Following our successful fundraising, we have moved immediately to deploy capital into what we believe is the highest-impact investment available to the Company: the construction of our second-generation AI-enabled manufacturing platform. This is not simply an additional production line. It is the foundation of a scalable, intelligent housing manufacturing ecosystem designed to support the industrialisation of housing at global scale.

Housing remains one of the world's largest unmet needs. We believe advanced manufacturing, automation and Artificial Intelligence will play a central role in addressing that challenge. Our ambition is to build a global housing technology platform capable of delivering high-quality, sustainable and affordable homes at industrial scale - just as advanced manufacturing transformed automotive production. Eco intends to be at the forefront of that transformation."

 

Further Information

For further information, please contact:

Eco Buildings Group plc

Dr Etrur Albani, Executive Vice Chairman

Fiona Hadfield, Finance Director

Tel: +44 (0) 20 7380 0999

Spark Advisory Partners Limited (Nominated Adviser)

Matt Davis

Tel: +44 (0) 20 3368 3550

Tavira Financial Limited (Broker)

Jonathan Evans

Tel: +44 (0) 20 7100 5100

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