Occuspace launches Octi conversational AI for building intelligence

Occuspace launched Octi, a free AI tool letting real estate teams query sensor-verified occupancy data. It analyzes 40 million square feet to answer questions without analysts.

Published on: Jul 10, 2026
Occuspace launches Octi conversational AI for building intelligence

Occuspace today launched Octi, a conversational AI tool that lets real estate teams ask questions about their buildings and get sourced answers in seconds, drawn from sensor-verified occupancy data. The tool is available immediately to all existing Occuspace customers at no additional charge, putting advanced analytics directly into the hands of CFOs, facilities directors, and space planners without requiring analyst support.

The launch comes as the global smart building market is projected to grow to $554 billion by 2033, and many real estate and construction professionals are adopting AI for Real Estate & Construction to cut costs and improve space utilization. With Octi, Occuspace aims to remove the lag between a question about a building and a data-backed answer.

"For most organizations, getting answers to questions about workspace has been difficult - pulling reports and waiting on analysts for answers," said Nic Halverson, Co-Founder and CEO of Occuspace. "Octi changes that. Now you have a partner that can turn complicated questions into actionable insights in seconds - not just the facilities team, but anyone whose decisions require understanding how space is being used."

What sets Octi apart

Octi relies solely on sensor-verified occupancy data from wall-to-wall coverage, avoiding the inaccuracies of Wi-Fi pings or calendar bookings. Because the answers come from actual presence patterns - not booking systems - the insights are defensible and rooted in physical reality.

Unlike older platforms that force users into pre-set reports, Octi allows natural-language questions about any pattern or trend. The analytical engine is backed by nearly a decade of occupancy intelligence across 40 million square feet of built space, enabling users to surface patterns that would never appear in a fixed dashboard.

The system's privacy-by-design architecture, already approved by federal IT reviews, keeps customer data within each organization's domain and never uses it for model training or external datasets. No data is shared across organizations.

Octi in practice

Stakeholders can ask questions in plain language and receive answers immediately. A few examples of questions that different roles might ask:

  • CFO: How much are we spending on space that's never used?
  • Real Estate VP: Can I fit another 60 people in our downtown office?
  • Facilities Director: How do I optimize our housekeeping schedule to save on labor hours?
  • Space Planner: What total square footage is needed next fiscal year given current usage?
  • HR Manager: Is it time to move from individual to shared desks?

"Octi gave me answers, told me what to look out for, and then gave follow-ups," said Devin McFarland, Capital Program and Strategy Manager at the University of Notre Dame. "The results and experience were exactly what you would expect from the most advanced AI tools."

Why this matters for real estate and construction professionals

For real estate and construction teams, Octi removes the friction between a hunch about space waste and a data-backed answer. Instead of waiting for custom reports, stakeholders can ask direct questions about underused floors, housekeeping schedules, or future space needs and get defensible answers within seconds. That speed can accelerate lease negotiations, redesigns, and cost-cutting measures by days or weeks. More information is available at www.occuspace.io.


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