Usage-Based OS for Rental Bed Infrastructure
India's PG market is operationally complex and digitally fragmented. Global property tools weren't built for shared meters, pro-rata, and Indian compliance. RentFlow was.
Why India's PG market is structurally complex
- •Bed-level billing — Not unit-level; shared spaces, pro-rata utilities, multiple rent components.
- •Utility disputes — Manual splits, meter reading errors, and collection delays.
- •High churn — Short stays, frequent move-ins/move-outs, deposits and notice tracking.
- •Informal operations — Excel, WhatsApp, and fragmented tools; no single source of truth.
Why global tools fail here
Global PM tools optimize for leases and units. We optimize for beds, bills, and Indian operational reality.
- Built for single-tenant or Western lease structures, not shared living and multi-component rent.
- No native utility splitting, Indian payment stack (UPI, Razorpay), or GST-first reporting.
- Per-seat or per-property pricing doesn't fit thin-margin, variable-occupancy PG economics.
- No "operating system" mindset—they're point solutions that don't connect into one event stream.
Why RentFlow wins
- Metering layer — We don't sell seats. We meter usage. When our customers grow, we grow with them—without renegotiating contracts.
- Capability architecture — Capability-driven design means we can flex pricing and packaging without re-architecting. That's product optionality for us and clarity for customers.
- Domain utility engine — Utility automation is the wedge: daily use, clear ROI, and the path to owning the full operational stack.
- Multi-portal model — One platform, four applications today—and designed for more. Each new surface deepens data and defensibility.
- Audit-first backend — Event-driven, audit trail, compliance-ready for institutional customers.
Business model
Pay for what you use: metered transactions (e.g. rent collected, invoices generated), utility allocation usage, and automation usage. No bloated subscriptions. Example scenarios:
Small PG (40 beds)
Typical monthly usage: ₹2,000–4,000 depending on occupancy and transactions.
Growing operator (200 beds)
Scales with volume; no renegotiation. Typical band: ₹8,000–15,000/month.
Enterprise (1,000+ beds)
Custom pricing, SLA, and dedicated support. Volume-based.
Early traction
Pilot operators onboarded; bed volume and revenue flow structure in place. Metrics and case studies will be updated as we scale.
Pilot
Operators
Pilot
Bed volume