Sets where Reenter Cover starts and helps landlords compare applicants.
- Inputs
- Rent-to-income, income stability, job tenure, rent history, consented credit band
- Method
- Monotonic scorecard
- Output
- 0–100, band, reasons
- Human check
- Landlord decides; review on request
Moves the premium between 4.5% and 12% as the record builds.
- Inputs
- Starting band, claims and late payments every six months
- Method
- Published rules, not machine learning
- Output
- Step 1–7
- Human check
- Insurer partner underwrites
A fair asking range for landlords and a sensible renewal suggestion.
- Inputs
- m², rooms, district, building age, floor, amenities, minutes to transit, recent agreed rents
- Method
- Hedonic price model with comparables
- Output
- Range and 5 comparable homes
- Human check
- Landlord sets the price
Tells a tenant what they can comfortably pay and where.
- Inputs
- Income, debts, household, workplace, priorities
- Method
- Transparent rules and a 40/30/30 ranking
- Output
- Rent range, home size, areas
- Human check
- Suggestions only; runs in your browser
Understands plain sentences and ranks homes and applicants.
- Inputs
- Your words and filters, saved homes, published ranking weights
- Method
- Language parsing and weighted ranking
- Output
- Filters you can remove, ranked lists
- Human check
- You see and undo every filter
Stops fake listings and payment scams before they reach anyone.
- Inputs
- EİDS authorisation, title-deed match, reused photos, prices far below market, “pay outside the app” messages
- Method
- Rules and anomaly detection
- Output
- Verified badge or held for review
- Human check
- A person checks every flag before removal