Have questions about how you can be using occupancy intelligence to evaluate your portfolio, optimize your space availability, enhance design, plan neighborhoods, or improve your office operations? Looking to understand how AI can be used to transform your decision-making?
Sign up for one of our upcoming office hours sessions for live demos and interactive Q&A sessions where YOU can ask questions of Kelby and the VergeSense team!
Join us for an office hours session focused on leveraging Workplace Assistant to unify, analyze, and make informed decisions on all your occupancy data—whether it comes from VergeSense sensors or your existing third-party systems, such as badge and leasing data.
Learn how Workplace Assistant can help you get more out of your existing data, and discover how AI-enabled insights, analytics, and recommendations empower you to make better, faster decisions, streamlining real estate and workplace management like never before.
Tune into this Office Hours session to learn how you can make portfolio, building, and floor decisions leveraging WiFi data from your existing building systems with VergeSense.
In this session, we will explore how VergeSense allows you to use your WiFi data to understand occupancy patterns at the building, floor, and neighborhood level. Whether you're managing a single building or an entire portfolio, this new capability offers the insights needed to enhance efficiency and make better data-driven decisions.
Tune into Office Hours to understand how Workplace Assistant can help accelerate and enhance your analysis of portfolio trends to identify optimization opportunities to reduce costs without impacting employee experience. Led by VergeSense CTO and co-founder, Kelby Green, we’ll explore questions like:
Come prepared with your own questions for Workplace Assistant in this interactive session.
Tune into our first Office Hours session to understand how Workplace Assistant can help accelerate and enhance your analysis of space usage trends. Led by VergeSense CTO and co-founder, Kelby Green, we’ll explore questions like: