Property IQ.

The problem

UK landlords face an increasingly professional market: Section 24 has restricted mortgage interest relief, EPC upgrades are mandatory, and renters reform legislation is shifting tenant–landlord economics. Casual investors are exiting; serious investors need real intelligence. But the tools haven't kept up — Rightmove shows the listing, spreadsheets compute the yield, and the rest is gut feel.

The friction stack for Sarah's typical workflow: no integrated analysis tool (yield and cashflow require manual spreadsheet work with no property-specific context), rental estimates are hard to find (Rightmove and Zoopla provide sold prices but rental comparables need separate research), condition assessment is guesswork (no tool for individual landlords to estimate capital risk from listing photos), and no holistic strategy framework (each property is evaluated in isolation rather than against a coherent portfolio objective).

The solution

Property IQ collapses the fragmented landlord workflow into three connected AI modules:

(1) Investment Strategy Builder — a structured 9-dimension questionnaire that produces a coherent investment strategy document the landlord can use as their decision filter for every subsequent property. (2) Listing Screenshot Analyzer — Sarah screenshots a Rightmove listing, uploads it, and vision AI extracts property details, structures them, and connects them to the strategy filter. (3) Visual Condition Assessor — listing photos uploaded, AI estimates component age (kitchen, bathroom, boiler, roof), identifies cosmetic vs structural concerns, and flags capital risk for budgeting.

Each module can be used standalone or as part of an end-to-end workflow depending on where Sarah is in her decision journey.

How it works

Three connected modules accessible from a central home screen, each usable standalone:

Investment Strategy Builder: structured questionnaire across 9 dimensions → AI synthesizes a personalized strategy document → strategy filters all subsequent property analysis.

Listing Screenshot Analyzer: user uploads screenshot → vision AI extracts property fields (price, beds, baths, location, type) → cross-references against strategy → cashflow / yield estimation produced automatically.

Visual Condition Assessor: user uploads room photos → vision AI estimates component age and condition state → flags capital expenditure risk and suggested capex budget.

Models: OpenAI and Google Gemini via their respective APIs, selected for multimodal capability (vision is core to two of three modules) and Lovable integration. Strict AI guardrails: never provide regulated financial advice; always present analysis as decision support, not a recommendation.

Who it's for

Primary end-user: the individual UK buy-to-let landlord or prospective property investor, typically aged 30–55, employed or self-employed, treating property investment as a wealth-building strategy alongside their main income. Sarah, 38: works full-time, owns 1–2 BTL properties, building a portfolio deliberately and methodically — financially literate but not a property expert.

B2B2C buyer side: professional service providers — conveyancing solicitors, mortgage brokers, surveyors, lettings agents — and property consultancies pay for qualified, engaged leads from the platform. Two customer types depending on deployment context: direct B2C subscription tier for landlords, B2B2C lead-gen tier for service providers.

Why it matters

The UK private rented sector houses ~4.6 million households, and Section 24, EPC upgrade requirements, and renters reform legislation are accelerating a structural shift in the landlord market: casual investors are exiting, professionals are remaining and scaling, and the demand for real intelligence (not just listing browsing) is growing fast.

Property IQ's structural bet is that the professional UK landlord market needs real software — not another portal, not another spreadsheet, but actual AI-powered decision intelligence built around how investors actually work (strategy → screenshots → condition assessment). The B2B2C lead-gen layer monetizes the service providers downstream of the landlord's decision; the consumer tier maintains adoption and product-market fit at the user end.

At a glance

Project

Property IQ

Built by

Rebecca Thorpe

One-liner

AI investment intelligence for UK buy-to-let landlords — strategy builder, listing screenshot analyzer, and visual condition assessor in one tool.