Your rent roll and financial data are confidential. We treat them that way.
Property managers share some of the most sensitive operational data in their business when they connect a PMS. Rentnoi's architecture is designed with that responsibility in mind — from read-only credentials to role-based access to audit logging.
How Rentnoi protects your data
Compliance posture
We're transparent about where we are. Rentnoi is an angel-backed company — we are actively building toward SOC 2 Type II. We do not claim certifications we have not earned.
| Framework | Status | Notes |
|---|---|---|
| SOC 2 Type II | In progress | Designed with SOC 2 controls in mind. Formal audit not yet initiated — angel-backed. We will update this page when audit begins. |
| CCPA (California Consumer Privacy Act) | Compliant | Data handling practices aligned with CCPA. See our Privacy Policy for CCPA-specific disclosures. |
| GDPR | Not primary market | US market focus. EU data subjects may contact us at [email protected]. |
What data Rentnoi holds and why
Rentnoi holds a copy of the data it pulls from your property management system for the purpose of computing analytics and serving dashboards. Specifically:
- Rent roll snapshots — unit-level rent, lease dates, occupancy status. Used to compute occupancy analytics and rent gap analysis.
- GL expense records — line-item expenses by category and vendor. Used to compute expense variance and benchmarking.
- Lease records — start/end dates, terms, renewal status. Used for expiration forecasting and renewal probability scoring.
- Account and user data — name, email, role. Used for authentication and access control.
We do not hold resident personal information (names, contact details, SSNs, payment data). Rentnoi reads operational and financial data — not resident PII from your PMS.
Data retention: operational data is retained for the duration of your subscription plus 30 days. Upon cancellation, data is deleted within 30 days at your request.
Questions about data security?
Our team is happy to walk through specific data handling questions before a purchase decision.