The $15B Problem No One Is Solving
AI-powered lease intelligence & CAM reconciliation
At 5% error rate on $20K/year CAM each. At 10x EBITDA, that's $1M in enterprise value.
Real enterprise client data: a company with 3,500 leases averaging $95K/year.
Tenants who DO audit recover 15-20% of billed charges. CPA audits cost $3K-$15K per property.
Not a prototype. Workflow orchestration, file extraction engine, and policy evaluation built for enterprise reliability.
One LLM call per lease. 17 provisions with full legal text, conditions, exceptions, cross-references. 33 flat fields. 86% recall.
Rules derived from BOMA standards, ASC 842/GAAP, and standard lease audit practices. The same checks CPAs run, automated.
Yardi Virtuoso Connectors (2025) use MCP to connect Yardi data with AI. LeaseMind as the intelligence layer between Yardi and enforcement.
| Capability | Lextract | Prophia | Yardi/MRI | LeaseMind |
|---|---|---|---|---|
| Lease extraction | 126 fields | 215 fields | Manual entry | 33 fields + 17 provisions |
| Full provision text | No | No | No | Yes — verbatim |
| Cross-references | No | No | No | Yes — typed edges |
| Conditions & exceptions | Red flags only | No | No | Yes — per provision |
| CAM enforcement | No | No | Manual | Automatic |
| Evidence trail | No | No | No | Provision + page + chain |
| Continuous (annual) | No | No | Manual | Automatic |
| Cost per lease/year | $10-20 | $20+ | $10K+/year | ~$5 |
$15 billion in annual CAM errors. 90% of tenants never audit. 30-day dispute windows that close before anyone looks. LeaseMind catches what CPAs charge $15,000 to find — for $5, in minutes, every year.
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