Technology is reshaping how real estate is analysed, invested in and managed. INREV supports members with practical insights into AI, data-driven investment, sustainability data, cybersecurity and smart buildings, helping turn innovation into informed decision-making. This page brings together INREV research, guidance, member case studies and highlights from our annual Technology Seminar to support confident adoption in an increasingly digital real estate landscape.
Artificial intelligence is moving rapidly up the agenda for investment managers. While many organisations are already using AI to improve efficiency and support decision-making, progress across the industry remains uneven.
In our latest IQ blog, the INREV Technology Committee explores the current state of AI adoption, its challenges and practical implementation strategies.
Cybersecurity is becoming an increasingly important business risk in real estate. As buildings become more digitally connected, exposure to cyber risk grows, highlighting the need for clearly defined roles and effective collaboration.
This INREV paper, ‘Cybersecurity in real estate: A risk too big to ignore’, aims to increase the awareness of cyber risks among real estate professionals and encourage members to take practical steps to strengthen asset resilience.
Published on 01 Jul 2025 Share
a.s.r. real estate developed a machine learning-based forecasting framework to support client-specific investment decisions in turbulent market conditions. By predicting yield gaps, rental value growth, and occupancy rates under various economic scenarios, the tool enables tailored asset allocation strategies. Integrated into the firm’s data infrastructure, the model enhances forecasting accuracy and supports smarter, faster decision-making across investment teams.
Published on 01 Jul 2025 Share
Valuers face increasing pressure to incorporate ESG factors into valuations, yet gaps in data availability and quality remain a key obstacle. This case study explores how JLL tested Large Language Models (LLMs), including its proprietary JLLGPT, to enhance the extraction of ESG data from diverse sources. The findings reveal JLLGPT’s accuracy, particularly in processing multi-language documents, demonstrating the potential of AI to streamline ESG reporting and improve valuation robustness.
Published on 12 Mar 2025 Share
Revelop has partnered with Myrspoven to improve the energy efficiency of its properties.
Myrspoven’s AI platform, myCoreAI, was integrated to optimise energy use. It analyses data from the building and external sources, such as weather and social patterns, to create a unique algorithm tailored to each building’s specific conditions and usage.
Published on 06 Feb 2024 Share
The case study outlines how a.s.r. Real Estate partnered with Scaler to meet its ambitious goal of achieving net-zero carbon emissions by 2045. Using the Scaler platform, a.s.r. was able to create data-driven decarbonisation roadmaps for its portfolio of over 450 assets. Scaler's tools help track energy use, GHG emissions, and sustainability efforts, while enabling iterative scenario planning.
This partnership provides transparent, actionable insights for reducing emissions, improving data accuracy, and aligning with international standards like the Paris Agreement.
Published on 26 Jun 2023 Share
Cromwell Property Group partnered with Deepki to streamline ESG data collection and reporting across its European portfolio. The Deepki platform automates utility data collection, enabling better asset performance insights, energy and carbon reduction planning, and compliance with European regulations. By March 2023, 74% of Cromwell's European assets were integrated, allowing for improved energy tracking, tenant data collection, and carbon accounting.
This initiative supports Cromwell’s ESG strategy with clearer reporting and actionable sustainability targets.
The committee's goal is to further develop INREV’s position on technology in the non-listed real estate industry. It aims to drive the industry forward by investigating the current and future challenges and opportunities for the non-listed real estate industry. It also acts to foster a dialogue between investors, advisors, specialists, and fund managers to increase knowledge and market transparency. The committee will investigate what current technologies are available, how are they used, and what their implications are for the industry.
The latest INREV Technology Seminar was held in September 2025, where we explored the strategic impact of artificial intelligence and the growing urgency of cybersecurity across the non-listed real estate industry.
The programme featured: