Paris, 16th December 2025 — Deepki, the most trusted sustainability SaaS solution for real estate, today introduced its expert-supervised AI Agents, designed to transform sustainability data into actionable insights that drive performance and profit. At the heart of this breakthrough is Deepki’s AI Lab, where expert teams work hand-in-hand with clients to train and validate AI Agents with real estate, finance, and sustainability data – ensuring accuracy, relevance, and quantifiable value.
A Decade of Innovation and Data Excellence
Deepki has built its AI leadership on over 11 years of sustainability data, embedding machine learning from the very start. The platform has progressively evolved from machine learning and deep learning to today’s generative AI, encompassing Large Language Models as well as more flexible, trainable Small Language Models. These advances have enabled powerful new capabilities: data extraction (e.g. for EPCs, PCAs, audit reports), data quality enhancement, report automation, enriched actionable insights (e.g. Fault Detection and Diagnosis, Virtual Retrofit), and hybrid SaaS interactions. This long-standing AI foundation is what now enables Deepki to deploy reliable, domain-trained AI Agents at scale.
Unique and Accurate AI Capabilities
Deepki delivers proprietary AI Agents that provide decision-ready insights for real estate professionals. Its core philosophy is that the sector cannot rely on opaque or approximate technology, emphasizing that reliable outcomes depend on real, accurate, and expert-verified property data. By training its AI algorithms with high-quality, audit ready data, Deepki ensures it is the first SaaS platform to equip clients with accurate, and actionable insights for generating confident retrofit scenarios and assessing their financial impact.
Trained collaboratively by internal experts and clients, the AI Agents reflect the complexity and specificities of each asset class, drawing on a unique database of more than 500,000 assets across 80+ countries. This combination of data depth, quality, and domain expertise makes the platform’s AI capabilities uniquely accurate and reliable.
Building powerful AI models starts with a foundation of trust. Deepki’s responsible AI framework ensures that all models are trained on fully anonymized data, processed within secure environments that meet ISO 27001 and SOC 2 Type II standards.
Proven Performance With Early Adopters
Certain clients are currently trialing virtual sustainability agents, dedicated to asset classes like retail, offices and light industrials. These early adopters in Europe and in the U.S. work in close collaboration with Deepki’s AI Lab, a dedicated team of in-house experts, to train the Agents to provide the most relevant and accurate real estate and sustainability insights and deliver operational value.
Initial reports indicate significant efficiency gains, cutting scenario modeling and financial analysis time by 20 – 80%. The accuracy of these plans is significantly higher than generic AI agents trained on open data. This efficiency and scalability is paramount for companies looking to undertake complex, portfolio-wide retrofit projects comprising several asset typologies across multiple geographies, adhering to various regulatory frameworks.
“AI Agents mark a pivotal step in our product strategy,” says Oivier Pin, Chief Product Officer at Deepki. “By combining expert prompting and trusted, audit-ready data from our unique database of over 500,000 buildings, we’re giving asset owners and investors the ability to make faster decisions in an unprecedented way. This is not about replacing human expertise – it’s about amplifying it to accelerate real estate’s sustainability journey.”
“Real estate doesn’t need fancy AI agents that use open data to deliver unreliable insights. It needs reliable real-data-trained AI agents that provide teams with the trustworthy insights they need to take action,” said Vincent Bryant, CEO and Co-founder of Deepki. “AI won’t decarbonize real estate. However, it’s an amazing tool to extract and enrich data, offer smarter, actionable insights, and enhance decision makers’ autonomy and acumen. With no time to waste, these efficiency gains are game-changing, these efficiency gains are game-changing.”
About Deepki
Deepki is the most trusted sustainability SaaS solution in real estate. Its comprehensive platform enables real estate asset owners to manage risk through data-driven insights, improve the financial performance of their assets, meet growing investor expectations and regulatory requirements. It also supports clients in developing clear action plans for both transition and adaptation, while delivering positive financial outcomes.
Deepki is ISAE 3000 Type 2 certified, and holds a SOC 2 Type II report, guaranteeing the security, credibility and accuracy of its data, and related processes. This makes the platform fully auditable and aligned with the same high-quality standards as financial reporting.
The company currently supports over 500 customers and 50,000 users, monitoring the sustainability performance of over €4 trillion in real estate assets under management (AUM) through its platform across 80+ countries. Employing over 400 people, Deepki helps its customers reduce their CO₂ emissions and improve performance across more than 60 asset types. The company serves clients including Generali Real Estate, PGIM, SwissLife Asset Managers, and the French government. Deepki integrates with adjacent technologies and partners with industry leaders through one platform, increasing efficiency and creating value.
In March 2022, Deepki raised €150 million in a Series C funding round. Since then, Deepki has made strategic acquisitions, including Nooco, an embodied carbon SaaS solution, and Fabriq, while also forming global partnerships with CBRE and PGIM Real Estate. The market-leading solution publishes the Deepki Index, a unique, annual benchmark of real estate’s environmental performance in Europe and the US.
