AI agents that understand real estate.

A general assistant doesn't know what a covenant is. It can't tell an outgoings recovery from a rent review, doesn't understand why a lease expiry profile matters, and has no idea that the same tenant appears in your CRM under four different names.

That's why generic AI rollouts stall in real estate. The technology works; the domain understanding isn't there. Agents that produce plausible, subtly wrong output are worse than no agent at all, because your team stops trusting them and quietly goes back to doing it manually.

What we build instead

Agents scoped to a single real workflow, built on your own data, with the property logic encoded properly. Narrow beats broad — an agent that does one job reliably gets used; one that does twenty jobs adequately gets abandoned.

• Prospect and tenant matching — score a live listing against your contact database and return a ranked shortlist with reasoning
• Lease abstraction — pull key terms, dates, options and recovery provisions out of documents into structured fields
• Report drafting — market reports, valuation narrative and proposal copy generated from your data, in your house style
• Enquiry qualification — triage inbound, extract requirements, route to the right agent with context attached
• Campaign copy — listing descriptions, EDMs and social copy generated from CRM records rather than retyped
• Extraction at volume — turning documents, PDFs and legacy exports into data you can actually query

Built on your data

An agent is only as good as what it can retrieve. We build the retrieval layer as carefully as the agent itself — over your listings, contacts, leases, comparables and documents — and we're honest when the data isn't ready. In most engagements some cleaning and entity resolution comes first, because otherwise every output inherits errors nobody can see.

We run an internal agent fleet across code review, QA, research and data work. Everything we recommend, we have built ourselves first.

Making them reliable enough to trust

Reliability is the whole game. We build evaluation sets from your real cases, measure against them before anything reaches your team, and design the human checkpoint into the workflow rather than bolting it on afterwards. Where an agent shouldn't be confident, it says so and escalates.

We also make output traceable. When an agent produces a number or a claim, your team can see which record it came from — which is the difference between a tool people adopt and one that gets switched off after a fortnight.

Who we build for

Sales and leasing agencies, valuation firms, asset and property managers, developers, and proptech companies embedding agents into their own products. If your work involves reading property documents, matching parties to space, or producing the same report repeatedly, there's an agent worth building.