Real estate

AI automation for real estate teams that run on documents.

Deal packs, feasibility models, tenancy schedules, and a steady flow of enquiries — real estate runs on documents and decisions that are still made by hand. Aurevia builds bespoke systems that extract, validate, and route that work so the analysis happens faster and nothing is taken on faith.

The work in this industry

The work that quietly eats a property team's hours.

A commercial deal pack lands as a stack of PDFs and spreadsheets. Someone reads each one, copies tenancy figures into a model, cross-checks the numbers, and hopes nothing was mistyped before the feasibility call. As the pipeline grows, the reading does not get faster — it gets riskier, because the wrong figure nobody caught is already inside the model driving the decision.

Alongside it, enquiries arrive across forms, inboxes, and portals, each needing a fit check and a follow-up that someone has to remember. The grind is not a single task; it is the constant manual handling between systems — extraction, validation, routing — that keeps analysts buried in admin instead of analysis.

What we automate here

What we automate for real estate

Deal-pack and document extraction — tenancy schedules, financials, and reports pulled into structured, model-ready fields instead of retyped by hand.

Validation and anomaly checks that flag missing values and conflicting sources before they reach a feasibility model, with every figure traceable to its source document.

Lead and enquiry intake — captured from forms, email, and portals, qualified against your fit rules, and routed to the right person with context attached.

Human review on the exceptions: ambiguous fields and high-stakes numbers escalate to an analyst rather than being silently guessed.

Proof in this industry

Proven with Align Property Partners

For Align Property Partners, we built a document-intelligence pipeline that handled real deal-pack extraction with validation, anomaly reporting, and source traceability — and proved it could scale from a 20-tenant limit to a 100-tenant model.

Bring us one workflow. We'll map the system underneath it.

Pick the process your team keeps doing by hand. We'll return its inputs, decision points, failure modes, and the automation layer that makes it operational — concrete, not conceptual.