1. What exactly does your AI agent do?

In this real estate build, Genium's AI platform ingests property listings, predicts ROI and rental yield, scores deal risk, and generates a standardised investment memo in seconds. It also runs continuous alerts on listings, comparables, and macro shifts, and partners can adjust the underlying model assumptions directly rather than working from a static one-off report.

2. How do you ensure the AI works in production, at scale?

For this build, production reliability comes from a single live model producing one standardised memo format that every deal runs through, rather than analysts using different templates and assumptions. The proof is in the outcome: research time per deal dropped 95% and the team now reviews roughly three times as many deals without adding headcount.

3. How will your solution protect our data (and our customers' data)?

Because this platform was custom-built rather than bought off the shelf, data handling — access controls, storage location, retention — is architected around the client's own infrastructure and requirements rather than a generic vendor policy. Exact protections (encryption standards, permission tiers, audit logging) are scoped during the build to match the sensitivity of listing and deal data involved.

5. How does your solution keep a human in the loop?

Partners in this build keep control by adjusting model assumptions directly on the live investment models behind each memo, rather than accepting the AI's output as a final call. The AI handles ingestion, ROI/yield prediction and risk scoring; the investment decision and any assumption overrides stay with the analysts and partners reviewing the memo.

6. How will we know what the AI is doing — and why?

Every deal produces a standardised investment memo showing the ROI/yield prediction, risk score, and assumptions used to reach it, so the reasoning is visible rather than buried in an individual analyst's spreadsheet. Because all memos come from the same underlying model, disagreements become a debate about the numbers themselves rather than about whose calculation method to trust.

This real estate deal intelligence build is an agent, not a chatbot: it ingests listings, predicts ROI and yield, scores risk, and generates a full investment memo on its own rather than answering questions in a conversation. Where a chatbot would field queries about a deal, this system produces the finished deliverable directly, cutting roughly a week of manual analyst work per deal by 95%.

How an AI deal intelligence platform cut real estate research time by 95%

A custom AI platform that ingests listings, predicts ROI and rental yield, scores risk and generates standardized investment memos in seconds — replacing weeks of manual analyst work per deal.

Client snapshot

Client

Real estate investment team

Sector

Real Estate Investment

Region

APAC

Company size

Investment team < 15

Timeline

4 weeks build

Service

Custom Software + AI Analytics

Stack

Listing APIsHistorical sales dataMarket analyticsAI scoring engineInvestment memo generator

The challenge

Every new opportunity meant an analyst spending a week pulling comparable sales, modeling rental yield, normalizing data across listing sources and writing up a memo. Different analysts used different templates, different assumptions and different sources — so the partners could not actually compare two deals side by side without redoing the work. By the time a memo was ready, the better opportunities were already gone. The team wanted to keep human judgment at the center of investment decisions, but stop losing time to the mechanical first 90% of the research.

The solution

We built an AI deal intelligence platform that runs the mechanical first 90%. Paste a listing or upload a CSV and the platform pulls comparables, normalizes the data across sources, models predicted ROI and rental yield against historical sales, scores risk on liquidity, tenant profile and macro signals, and generates a standardized investment memo — all in seconds. Every memo follows the same template, references the same data sources, and exposes the assumptions behind each number. Analysts and partners can adjust assumptions live and watch the model update, so debate happens around the right numbers instead of around whose spreadsheet to trust. The platform also runs continuous market monitoring. The team gets alerts when a new listing hits their target criteria, when a comparable closes at a notable price, or when macro indicators shift the risk profile of an existing position. The agent never makes the final call — partners do — but it removes the bottleneck that used to gate every decision.

Before

A week of analyst work per deal
Inconsistent templates and assumptions
Memos late, best opportunities lost
No live market monitoring

After

AI-generated memo in seconds, standardized format
Live assumption-adjustable ROI and yield models
Continuous alerts on listings, comps and macro shifts
Partners spend time on judgment, not data prep

Results

95%

reduction in research time per deal

80%

improvement in investment accuracy

3×

faster deal evaluation cycle

24/7

continuous market monitoring

"We finally argue about the right numbers instead of whose spreadsheet is correct. Every memo comes from the same model — and we look at three times as many deals."
— Investment Partner, real estate investment team

Tech stack & integrations

Listing APIsHistorical sales dataMarket analyticsAI scoring engineInvestment memo generatorLive market alerts

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