Mechanism

How It Works

Send over a listing and Lumeyrie runs the evidence gathering automatically, power capacity, grid connections, planning history, environmental constraints, and more, before you spend real time or money finding out the hard way. What comes back is a scored, evidence-backed recommendation: reject, investigate further, or investment candidate. Every domain carries its own confidence tier, so you can see what’s a confirmed fact, what’s an inference, and what genuinely hasn’t been assessed yet, and a hard-stop layer sits above the score, ready to catch the one thing a headline number can hide.

Watch a report get built

Every submission moves through the same seven-domain pipeline. Below is one real listing going through it end to end, in the order the evidence actually gets checked.

  1. Step 1

    Power & grid connection

    Checks whether sufficient grid capacity and a credible connection path are plausible within the required time and cost.

    Evidence checked
  2. Step 2

    Planning history

    Checks local planning evidence, relevant site history, brownfield or allocation signals, and where policy evidence is still missing.

    Evidence checked
  3. Step 4

    Fibre & connectivity

    Checks coverage, network proximity and route-diversity signals to test whether adequate fibre looks deliverable.

    Evidence checked
  4. Step 5

    Transport access

    Measures access to major roads, junctions, rail and airports so logistics constraints are visible early.

    Evidence checked
  5. Step 6

    Ownership & tenure

    Checks corporate ownership against HM Land Registry records and identifies when a title-specific search is still required.

    Evidence checked
  6. Step 7

    Noise sensitivity

    Screens nearby sensitive receptors and likely acoustic constraints before a specialist BS 4142 assessment.

    Evidence checked
Unity Park scored 65 out of 100, enough to warrant deeper investigation. Environmental screening placed the site in Flood Zone 3. Because the current dataset does not distinguish Zone 3a from Zone 3b, Lumeyrie did not treat that as an automatic rejection. It raised an amber constraint and required a site-specific Flood Risk Assessment and sequential test before proceeding.

Not a plausible-sounding model, real title records

A lot of "AI property intelligence" claims are really just a plausible-sounding model with no real data behind a specific claim. Ownership is a good example of where that shows: knowing who actually owns a site, and whether it’s a UK-registered company, isn’t something you can infer, you either have the real data or you don’t.

Ownership intelligence on a UK site isn’t a guess, it’s checked against 4.4 million real Land Registry title records.

Lumeyrie ingests HM Land Registry’s full corporate-ownership dataset (CCOD), 4.4 million title records, and checks every site against it directly. If there’s no match, the report says so; it doesn’t guess.

The seven evidence domains

Power & grid connection

Checks whether sufficient grid capacity and a credible connection path are plausible within the required time and cost.

Planning history

Checks local planning evidence, relevant site history, brownfield or allocation signals, and where policy evidence is still missing.

Environmental constraints

Screens flood zones, Green Belt, SSSI, ancient woodland, historic landfill and other mapped environmental constraints.

Fibre & connectivity

Checks coverage, network proximity and route-diversity signals to test whether adequate fibre looks deliverable.

Transport access

Measures access to major roads, junctions, rail and airports so logistics constraints are visible early.

Ownership & tenure

Checks corporate ownership against HM Land Registry records and identifies when a title-specific search is still required.

Noise sensitivity

Screens nearby sensitive receptors and likely acoustic constraints before a specialist BS 4142 assessment.

Every domain in a Lumeyrie report is scored and evidence-tiered on its own, then rolled up into one recommendation, not averaged into a single number that hides where the evidence is thin. For the full explanation of how confidence tiers work and why the hard-stop layer exists, see Trust & Evidence.

Have a listing you’re not sure is worth deeper work? Send the public link for a free fit check. We agree the scope and price before any site-specific analysis begins.

Send a listing