Built Logic

See what AI can do

Screen candidate sites against the company's own land criteria and planning constraints

We take off your hands: looking at every site agents send you to find the few worth a call.

You get: a ranked sift sheet of sites, each marked pass, hold or drop with a short reason and the constraints found.

Get a price for this

Or check first: Are we ready for AI?

The problem

We get sent dozens of sites and most of them are a waste of time, but someone still has to look at every one.

How it works

  1. What comes in

    • Site addresses or red-line boundaries, LandTech, Searchland or Nimbus exports, national planning data layers, the company's written land criteria

  2. What AI does

    Matches each site to constraint and planning data, scores it against the written criteria and drafts a one-line reason for each score.

  3. What you get

    • Ranked sift sheet with pass, hold or drop, the reason, and the constraints found

  4. Who signs it off

    Your land manager decides which sites to pursue, and your land director sets and changes the criteria.

What it needs to work

  • Written land criteria, access to a land platform export or the national planning data API, consistent site boundaries

If those aren’t in place yet, you’ll hear that before anything gets built.

Who it’s for

  • Developers and housebuilders

Where this joins up

What would this cost for your team?

Answer questions about your company and how this work runs today. You see an indicative estimate of the hours back, what that time is worth and the price when you send your details.

Get a price for this

Or check first: Are we ready for AI?