Trusted by repeat buyers
GalimAI helps UK property buyers source truly off-market deals by targeting the situation behind the property, not just the property itself.
A gradient-boosted prediction model trained on UK Companies House, HM Land Registry and Gazette data. Scores every UK property-owning company by the probability they will sell in the next 6 to 12 months. Rebuilt quarterly on the latest transaction data.
Built for property traders, sourcers and deal packagers, active investment companies, and funds & trusts. We score UK property owners against six families of public signal, financial pressure, legal events, ownership structure, portfolio profile, timing, and owner profile, then run direct-to-vendor letter campaigns under your brand.
Anonymised replies from UK property owners who responded to direct-to-owner campaigns we ran. We target the situation behind the asset, so the conversations come pre-qualified.
At the age of 67, I have decided to hang up my boots so your letter was quite well timed. I have four HMOs that you may be interested in.
We are putting the property to the investment market shortly, but always happy to go off-market with the right buyer.
We can offer you the property for £450,000; alternatively, subject to lender consent, we would consider offers above £100,000 for the purchase of the company.
We love GalimAI because it provides highly accurate and fast results, connecting us with motivated sellers and buyers in a crowded market. It stands out from conventional PPC and social media by offering a unique edge.
I’ve been using GalimAI for a few months, and it’s transformed my approach. Each morning I get new leads with full contact info, making it easy to connect with owners. The reports strengthen my negotiations and help tailor deals.
GalimAI has changed the way we source. We get a daily list of motivated owners, full contact details, and the kind of distress signals we used to spend weeks digging for. The targeting is sharp and the data is accurate.
Fresh analysis of the unique UK property-company ownership data behind every campaign. Updated May 2026.
We learn from every UK property transaction. Director age, loan obligations, ownership origin, late-filing patterns, charge stack and 30+ other signals feed a model that predicts when each property-owning company is most likely to sell. Retrained quarterly on the latest transaction data.
Gradient-boosted model trained on years of UK transactions. Director age, loan stack, ownership origin, filing patterns and 30+ other signals score every property-owning company by probability of selling in the next 6 to 12 months.
160,000+ tracked letter outcomes feed a response model with a multi-armed bandit. Selects best template, send window and recipient per campaign.