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Deepki, the leading sustainability SaaS platform for the real estate sector, has launched its expert-supervised AI Agents. It is designed to transform raw sustainability data into actionable insights that improve both environmental performance and financial returns.
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From Data to Action: AI Agents Trained on Real Estate, Finance & Sustainability
Developed within Deepki’s AI Lab, these agents are trained and validated in collaboration with clients, using proprietary real estate, finance, and sustainability data.
This expert-guided process ensures the outputs are accurate, relevant, and deliver quantifiable value. Effectively, it is moving the process beyond generic AI toward reliable, decision-ready intelligence.
Over a Decade in the Making: The Evolution of Deepki’s Trusted AI Platform
Deepki’s AI capability is built on more than 11 years of curated sustainability data. The platform has evolved from foundational machine learning to advanced generative and small language models (SLMs).
This long-term investment enables powerful, specialized applications. These include automated data extraction from documents like EPCs, data quality enhancement, fault detection, and virtual retrofit modeling.
Domain Expertise Meets Data Scale: How Deepki Ensures Unmatched Accuracy
Deepki’s AI Agents are trained on a unique database of over 500,000 assets across 80+ countries, reflecting the complexity of various asset classes. The company’s core philosophy is that reliable sustainability outcomes depend on accurate, expert-verified property data. Not opaque or approximate AI.
“Real estate doesn’t need fancy AI agents that use open data to deliver unreliable insights. It needs reliable, real-data-trained AI agents,” said Vincent Bryant, CEO and Co-founder of Deepki.
All models are developed within a responsible AI framework, using fully anonymized data processed in ISO 27001 and SOC 2 Type II certified environments.
Proven Results: Early Adopters Achieve 20–80% Efficiency Gains
Early adopters across Europe and the U.S. are already trialing dedicated AI Agents for retail, office, and light industrial assets. These partnerships with Deepki’s AI Lab are demonstrating significant operational gains. A synergy helping to cut the time for scenario modeling and financial analysis by 20% to 80% while improving accuracy over generic AI tools.
“This is not about replacing human expertise—it’s about amplifying it to accelerate real estate’s sustainability journey,” said Oivier Pin, Chief Product Officer at Deepki.
Responsible & Secure: A Trusted Framework for Real Estate AI
Deepki acknowledges that AI alone cannot decarbonize real estate. Instead, it is a transformative tool for extracting critical insights, enhancing decision-making autonomy, and scaling complex retrofit projects across global portfolios and regulations. The launch marks a strategic shift toward hybrid SaaS interactions that combine trusted data with expert-supervised automation.
