Never invent
Contacts, emails and property facts come from a source you can see. If something is not known, the system says so instead of guessing.
About us
ParkZipply connects drivers with parking that is sitting empty. RevenueOS is the system we use to find and win the partners who own it.
Why it exists
A parking marketplace is only as good as the spaces on it. Hotels, lots and garages often have spare capacity in the evenings or on weekends, but reaching them is slow, scattered work: spreadsheets, copied emails, forgotten follow-ups, and a constant worry about sending something you should not.
RevenueOS puts that whole journey in one place. It started as our own playbook for launching a city, with the same eighteen steps from the first prospect list to the first booking, and grew into a platform we now offer to other teams.
What we hold ourselves to
People decide
AI writes, scores and summarises. Bulk sends, agreements and listings are approved by a person, and a kill switch stops everything.
Rules in code
Consent, opt-outs, do-not-call and quiet hours are enforced by the software on every message and call, not by hoping a prompt behaves.
Explainable
Every score, every status change and every approval has a reason and a history. You can always ask “why”.
Respect for the recipient
Messages are short, honest and easy to stop. Calls say that they are automated. A single STOP ends contact.
Your data stays yours
Each workspace is isolated, keys are encrypted, and everything can be exported.
Built with
A small, auditable stack so it is easy to run and to trust.
Node.jsPostgreSQLPrismaWebSocketsTwilioSendGridAnthropic ClaudeFluent 2 design system
Want to talk it through?
Tell us about your launch zone and we will show you how the modules fit.
Contact usHow we work with customers
We run RevenueOS ourselves before we sell it. Every module started as a step in our own launch playbook, so the software reflects what actually helps when you are trying to sign a hotel manager who is busy and has never heard of you. When something does not work for us, we change it before anyone else sees it.
We keep the promises that matter in code rather than policy: consent is checked before any message goes out, quiet hours are respected, opt-outs apply everywhere at once, and the AI proposes while a person approves. If you ever ask how a decision was made, the answer is written down.