PropNovi ranks your own negotiators by how they actually convert — by patch, price band and property type — then tracks every handoff through to a result.
Built for UK estate agencies · currently a pre-launch prototype
Two well-documented gaps in how UK agencies handle enquiries today.
Four steps, from a new enquiry to a tracked result.
From Rightmove, Zoopla, your website or a phone call — everything lands in one place instead of scattered across an inbox.
By patch coverage, price-band history, property type and current workload — not gut feel or whoever happens to be free.
The reasoning behind every ranking is visible, and any assignment can be overridden — overrides improve future matches, not treated as errors.
Every handoff is followed through to a sale, a loss, or a client asking to change agent — so nothing quietly goes cold.
UK GDPR now requires genuine human review of automated decisions, under the Data (Use and Access) Act 2025 — that's the standard this is designed around, not an afterthought.
Every AI ranking shows the factors behind it — patch coverage, price-band history, property type, capacity — so a manager can actually evaluate the recommendation, not just accept it.
Any assignment can be overridden by a manager, for any reason. Overrides are logged and used to improve future matches — they're signal, not treated as errors.
A GDPR Data Protection Impact Assessment is completed before any live client or agent data is processed, with ICO registration in place ahead of launch.
One platform, two separate views — an operational console for agencies, and comparative data for the people deciding what to buy or build next.
An enquiry queue, AI-ranked matching, agent onboarding for new starters without a track record yet, and a follow-up tracker that runs through to a result.
Open the agency console
Area-by-area comparisons — price trends, rental yield ranges, days to sell — compiled from multiple published sources. Comparative information, never advice.
Open the investor dashboardEvery match shows exactly why an agent was ranked where they were.
This is a working prototype — every screen shown is clickable, not a static mockup.
Set against verified UK competitor benchmarks — priced below incumbent CRMs at the entry tier, credibly below the premium tier at the top end.
Investor and developer dashboard access is licensed separately from agency plans — contact us for details.
The ones we're asked most often, answered straight.
No — this is a pre-launch prototype demonstrating the concept and the reasoning behind it. The Phase 1 build begins once funding is in place.
Agents are ranked by their own historical conversion data — patch coverage, price-band history, property type, current workload. A new agent without history yet uses a starter profile, completed by them or a supervisor, until real outcomes build up.
Yes, always, for any reason. Overrides are logged and used to improve future matches — they're treated as signal, not errors.
Multiple published sources — HM Land Registry, Rightmove, Zoopla and others — compiled and compared. It's informational, not personalised advice, and never recommends a specific property.
An AI compliance hub and AR-assisted viewings are Year 2 and Year 3 roadmap items — not part of this build, and not claimed as such.
Integration is planned sequenced by customer, starting with whichever system the first agency already uses — likely Reapit, Alto or Street. Not every integration is built at once.
Matching, follow-up tracking and investor intelligence come first. A compliance hub and virtual-viewing tools are roadmapped for later phases — shown honestly as not yet built.