#Sustainability #Paris #France #AI Agents #Deepki

Introduction to Deepki's AI Innovation In an exciting development within the realm of sustainable real estate, Deepki has unveiled its new expert-supervised AI Agents. As a leading SaaS provider focused on sustainability, Deepki's latest initiative aims to transform raw sustainability data into actionable insights, empowering real estate professionals to enhance performance and profitability. This progressive move reinforces Deepki's commitment to leveraging technology for a more sustainable future.

The Foundation of AI Excellence Deepki's AI Agents are crafted based on over a decade's worth of sustainability data. Since its inception, Deepki has embraced machine learning, which has evolved into the use of cutting-edge generative AI today. This includes the integration of Large Language Models (LLMs) alongside more agile Small Language Models (SLMs), enhancing the platform's ability to deliver crucial insights. The AI Lab at Deepki works intimately with clients to train and validate these AI Agents, using real estate, finance, and sustainability data to ensure accuracy and relevance in the outputs.

Unmatched AI Capabilities What sets Deepki's AI Agents apart is their precision and reliability. Understanding that the real estate sector is heavily reliant on data-driven decisions, Deepki emphasizes the need for expert-validated property data. By utilizing high-quality, audit-ready data for training, the AI Agents provide actionable insights that allow clients to evaluate retrofit scenarios confidently and assess their financial implications thoroughly.

These agents are collaboratively trained by a team of internal experts in conjunction with the clients. By leveraging a vast database of over 500,000 assets across more than 80 countries, the AI Agents offer insights reflective of the complexities inherent in various asset classes. This robust combination of data depth, quality, and specialized expertise yields a uniquely accurate and reliable AI solution for real estate professionals.

Building Trust in AI At the heart of Deepki's philosophy is the importance of trust. To ensure transparency and security, all AI models are trained on anonymized data, adhering to strict processing environments that meet international standards such as ISO 27001 and SOC 2 Type II. This foundation of trust fosters confidence in the AI outputs, thereby enhancing their overall utility for real estate operations.

Performance Insights from Early Adoption Several clients have embarked on trials utilizing Deepki's virtual sustainability agents in sectors such as retail, office spaces, and light industrial projects. These early adopters, both in Europe and the U.S., have been actively collaborating with the AI Lab for the best results. Initial reports reveal impressive efficiency gains, with certain tasks showing a reduction in required time for scenario modeling and financial analysis by 20% to 80%. The accuracy of these outputs notably surpasses that of general AI agents trained on open datasets, providing a substantial advantage for companies managing complex, portfolio-wide retrofit projects across diverse regulatory environments.

Conclusion Deepki's introduction of expert-supervised AI Agents marks a significant leap forward in the integration of technology in the real estate sector for sustainability purposes. By ensuring the accuracy and relevance of the data used, these agents are set to enhance operational efficiencies and optimally support organizations on their sustainability journeys. As these developments unfold, Deepki continues to demonstrate its pioneering role in shaping a more sustainable future for real estate.