VacantLoop is an AI-native operating system for office leasing teams and the owners they answer to: one place to understand demand, respond from verified facts, weigh every offer on its numbers, and measure what moves the pipeline.
“We need roughly 6,000 square feet in North Dallas. Can you share availability and tour times next week?”
Suite 410 at Parkway Tower — availability and tours
Suite 410 is available: 6,200 SF at $28.50/SF NNN. We can arrange a tour next week after your team confirms a time.
Inventory claims are linked to the current suite record. A person reviews and approves the message.
Inventory truth, a grounded reply a person approves, one queue for the day, and the owner’s numbers on vacancy, offers, renewals and the year ahead. Narrated and captioned.
Each capability feeds the next, so the system carries context forward instead of making your team rebuild it in every tool.
Buildings, suites, rates, media, availability, and listing status stay connected. Spreadsheet imports are reviewed before creation, and changes keep their source, person, and time.
Result: Your team answers from the same set of current facts.
Website inquiries, shared-inbox messages, broker replies, standing requirements, and targeted prospecting arrive with their source and history intact.
Result: A message is never mistaken for a qualified opportunity simply because it exists.
AI evaluates leasing intent, commercial questions, the likely reply path, and readiness. The recommendation sits beside the conversation and can be confirmed or corrected by your team.
Result: Operators see the reason behind the next action before they take it.
The conversation, matching suites, and selected reply goal become a concise draft. Inventory claims must match the records behind it, and a person reviews every outbound message.
Result: Speed improves without turning an unsupported claim into a landlord commitment.
Verified broker relationships and nearby likely occupiers become a prioritized work list. Attempts and outcomes are recorded before a prospect is promoted into the active pipeline.
Result: Prospecting creates evidence instead of inflating the lead count.
Repeated inquiries can be grouped into one human-reviewed opportunity. Booked tours carry a time, can go on your calendar, and return to the queue until someone records how they went, so source, response, qualification, completed tours, proposals, and wins stay connected in reporting.
Result: Your team can invest in the actions that produce real progression.
The leasing work produces the evidence. These views turn it into the figures an owner acts on: what vacancy costs, what an offer is worth, and what a renewal is worth against starting over.
Every empty suite at its own asking rent, by the month and by building, with occupancy against each building's area, how long space takes to lease, and the suites the market has stopped asking about.
Offers recorded with their terms show net effective rent, the value of holding out for the asking rent, and the month where the two cross. An owner approves, counters, or declines.
A sitting tenant's renewal beside the empty months, rent, and concessions of finding someone new, with the break-even rent and break-even downtime. Expiring leases come up early enough to act on.
Each building drawn floor by floor from its suites: leased, vacant, vacant with no demand, in a deal, coming available, and expiring within a year.
Rent in place, weighted lease term by area and by rent, and in-place rent against asking, each figure stating how much of the roll it covers.
Occupancy and which way it is moving, what the empty space is asking, the decisions waiting, and the leases ending within a year: on the owner's home at sign-in, and as a report for a lender or partner: printable, or a read-only link that expires. When a lease signs, what you signed is set against what you asked.
Stated arithmetic, not a recommendation. No discount rate is assumed and no deal is picked for you. Terms are entered by people, are never read by the AI, and deciding an offer sends nothing.
Human review is part of the product loop. Recommendations remain inspectable, corrections are captured, and model agreement is measured alongside the business outcomes that matter.
Read the conversation, its source, the current requirement, and the verified inventory available now.
Separate likely leasing demand from noise, flag commercial judgment, and suggest the most useful response path.
Prepare the opportunity brief, suite match, grounded draft, and recommended next action for a person to review.
Measure operator corrections and downstream outcomes so model agreement and business value remain visible.
The useful first milestone is a real inquiry worked against your real inventory. Onboarding follows that sequence.
The system accelerates interpretation and preparation while the decisions that carry commercial or relationship risk stay explicit.
Bring a suite list and recent inquiries. We will show the evidence, decision brief, grounded response, and next action, then price your vacancy and a live offer on the same records.