AI-assisted property sourcing
Finding the opportunities that manual research misses.
Our sourcing process brings together UK property, company ownership and civic data, then applies AI-assisted analysis to highlight acquisitions worth attention — particularly properties owned by limited companies, where ownership and intent are often unclear from public listings alone.
The process
A seven-stage process from data to decision.
Each stage narrows a wide dataset down to a small number of acquisitions worth serious attention.
01 · Requirements
The first filter is you
What are you looking for and where. The first filter is you.
02 · Instant discovery
Surface candidate properties
Multitude candidate properties are surfaced against a range of overlapping attributes.
03 · Analyse/ refine
Assess interest and progress
Condition, risk and investment indicators combine to assess interest and progress.
04 · Outreach
Bespoke comms at scale
A single button press = instant, bulk creation of comms and CRM entry. Every letter is bespoke to its own deal.
05 · Response/ escalation
Score replies before negotiation
Reply data is further scored via an automated valuation pipeline before negotiation begins.
06 · Negotiate
Anchor discussions in data
Discussions anchored in proven data facillitate realistic, beneficial outcomes for both parties.
07 · Introduce or acquire
A decision, not just a report
Verified opportunities are introduced to investors or progressed to acquisition, refurbishment and letting — as shown in our completed portfolio.
Illustrative example
What we can investigate for a single property.
The panels below use fictional placeholder information to demonstrate the type of intelligence our process can produce for a real property.
Who this helps
Built for the people who act on property information.
Property investors
Fewer, better-qualified leads
Spend time evaluating opportunities that have already passed ownership, condition and yield screening, rather than sifting listings by hand.
Developers
Sites and stock with context
Planning history, ownership structure and local demand data assembled alongside each opportunity, rather than gathered separately after interest is confirmed.
Property acquisition businesses
A research layer that scales
Extend your own acquisition pipeline with a consistent, repeatable research process rather than variable manual effort.
Social housing partners
Suitable stock, assessed early
Properties are considered against social housing suitability from the outset, not retrofitted to the requirement later.
Organisations seeking off-market opportunities
Access to properties before they are widely marketed
Ownership-led research surfaces opportunities connected to owners who have not listed a property publicly, widening the pool beyond agent-marketed stock.
Next step
See where this process has already led.
Every stage above has already produced completed acquisitions, refurbished and let to social housing providers.