VergeSense, the technology company revolutionizing occupancy intelligence, has announced that it has integrated OpenAI’s ChatGPT technology into its industry-leading Occupancy Intelligence Platform. By deploying ChatGPT’s natural language interface within VergeSense’s platform, users can ask intuitive questions about optimizing their real estate portfolios, which they can leverage to make more informed decisions. The integration simplifies the decision-making process, reducing both time and effort for corporate real estate (CRE) leaders when devising strategies for the optimization of their spaces. VergeSense’s platform is constantly pressure-tested by 200 global enterprises, and the inclusion of ChatGPT further enhances its comprehensive analysis and insights into property usage. Customers of VergeSense’s platform benefit from optimized real estate portfolios, which are people-centric, inspiring, and sustainable.
Dan Ryan, CEO and Co-Founder of VergeSense, commented, The optimization process for corporate real estate was broken. Most companies leaned heavily on assumptions to make decisions and for the little data that did exist, it was siloed. VergeSense completely transformed this by pioneering the first and only scalable way of accurately measuring space to understand it on multiple dimensions: person count, active occupancy, and passive occupancy.
VergeSense AI, the brain behind the platform, was the first to pioneer the industry by providing the most accurate people count and active occupancy data on the market. The AI solution is still the only available solution that also measures passive occupancy, representing up to 50% of overall space utilization. By incorporating ChatGPT into VergeSense AI, the platform can deliver comprehensive, accurate analysis of occupancy data that further guides swift decision making.
The VergeSense and ChatGPT integration is currently in beta phase and exclusively available to select customers and prospects. Interested parties can contact their VergeSense sales representative for pricing information.
