Visitt raises $22M to embed AI in commercial property operations
Visitt secured $22 million in Series B funding led by Susquehanna Growth Equity, with participation from existing backers Vertex Ventures Israel, Anfield, and Sarona Ventures. The company now serves 150+ customers and reports a 900% jump in managed square footage across 2025.
"Legacy systems were designed for a different era and can't meet today's operational expectations," said Itay Oren, Visitt's CEO and co-founder. "Operators need speed, clarity, and real outcomes through a single interface with AI built into the operational core."
What Visitt consolidates into one interface
- Work orders and preventive/predictive maintenance
- Compliance, inspections, and certificate tracking
- Tenant communications and multilingual support
- Equipment tracking and vendor management
- Security workflows and incident reporting
- Financial tasks tied to operations
Visitt says its AI-enhanced workflows draw on millions of operational data points, plus continuous feedback from on-site teams. The company claims 2-3x improvements in property efficiency and response times by removing repetitive tasks and closing loops faster.
AI Agents for time sinks operators actually feel
Two areas stand out: certificate of insurance (COI) management and multilingual communications. COIs are a chronic bottleneck across vendors and tenants; automating requests, validation, and renewals can reclaim hours each week. If you need a quick refresher on COIs, see this overview from Investopedia what a certificate of insurance is.
Multilingual messaging helps teams serve diverse tenant bases without context switching or copy-paste workflows. If execution is clean-templates, routing, and audit trails-this reduces ticket ping-pong and lifts satisfaction scores.
Practical questions to pressure-test in a pilot
- Integration: Does it connect cleanly with your BMS, access control, visitor management, and financial systems? Any data gaps?
- Data ownership: Can you export raw events, work orders, and AI outputs on demand? How is data retained and deleted?
- Accuracy and oversight: What validation exists for AI actions (e.g., COI approval rules, vendor requirements)? Clear audit trails?
- Latency and uptime: Response-time SLAs for routing, notifications, and agent actions? Mobile performance on-site?
- Change management: How long from kickoff to value? Role-based training, playbooks, and a no-surprises rollout plan?
- Security and compliance: Standards met, pen-test cadence, and incident response commitments?
- ROI clarity: Baseline today's KPIs-response time, first-contact resolution, ticket volume per square foot-then track weekly deltas.
Why this matters for operations
Most teams are juggling fragmented tools while being asked to do more with less. A single operational interface with embedded AI can shorten cycles, standardize execution, and keep the field and office on the same page. For more on how AI is being applied to real-world operational workflows, see AI for Operations.
If Visitt delivers on 2-3x efficiency in your environment, you'll feel it in labor hours, vendor coordination, compliance, and tenant sentiment. The smart move is a tightly scoped pilot across one asset or portfolio slice with hard benchmarks and a clear exit/expand plan.
Bottom line
Visitt is making a clear bid to replace legacy ops stacks in commercial real estate, not just sit beside them. If you're evaluating, push for a rapid pilot, insist on data transparency, and validate AI-assisted decisions against real on-site results.
If your team is building core AI skills to support tools like this, explore role-based training here: AI courses by job.
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