Every site has a story.

Diald is a domain-specific AI for real estate. Institutional-grade intelligence, on a secure platform built for high-value decisions.

From address to investment memo

How it works

Three steps, just minutes — and you walk away with both layers of the read: a Neighborhood Investment Rating for the location and a Diald Score for the deal.

Diald01 · Capture
350 Fifth Avenue, New York
UnderwritingOffice5-yr holdLight reno
Midtown · New York, NY

Type a property and your plan in plain language. Diald structures the goal, hold, and scope — then pulls the location.

Why Diald is different

Two layers of intelligence

Most tools hand you data. Diald hands you a read — a letter grade for the location, and a confidence score for the deal built on top of it. Both powered by 19 specialized agents reading the qualitative signals that move cap rates before they show up in comps.

A
Neighborhood Investment Rating
Location quality
Informs
82%
Diald Score
Investment confidence
01
Deep qualitative diligence

We read the signals that move markets first

19 specialized AI agents comb 1.7M+ media and institutional sources — safety, infrastructure, regulation, sentiment — the qualitative reality that moves cap rates before it ever surfaces in comps.

02
Two layers, two reads

Location quality, then deal conviction

Those signals become a Neighborhood Investment Rating for the location, then combine with your underwriting and financial model into a Diald Score — a confidence rating on the deal, calibrated against how comparable markets have actually moved.

03
A memo, not a data room

One synthesized, decision-grade output

Neighborhood findings, market context, comps, and assumptions in a single narrative ready for IC. The grade informs the score — it never decides for you.

Stop guessing what the neighborhood is telling you.

Diald turns qualitative reality into quantitative clarity — so you can underwrite faster, with conviction.

Your data stays yours. Never used to train AI models. Fully isolated by account.