Background Mobile
Real Estate IconReal Estate · Valuation

Automated Valuation Model Development

Custom AVMs for portals, lenders, investors and PropTech teams — property value estimates with a confidence range and the comparables behind them, delivered in your platform or through an API.

WhatsAppMessage on WhatsApp
Automated Valuation Architecture Ecosystem
Comparable selectionConfidence scoringValuation API
BacktestingExplainability

TRUSTED BY TEAMS

letest.ai
Propmodel
aloomah
yeeld
Nostromarkets
Pharmy
/// INTRODUCTION

An automated valuation model estimates what a property is worth from data — comparable sales, property characteristics, market trends and photos — in seconds rather than days. In real estate, AVMs power instant valuations on portals, loan screening for lenders and acquisition screening for investors.

Sodio builds custom automated valuation models for real estate businesses that need more than a licensed estimate: models trained on their own data, a confidence range for every value, and the comparables that explain it.

Automated valuation analysis

/// IS CUSTOM RIGHT FOR YOU?

When a Licensed AVM Is Enough

Licensed valuation data is widely available. In the US, providers such as CoreLogic and HouseCanary supply AVM estimates; in the UK, Hometrack and others do the same for lenders and agents. If their coverage and accuracy suit you, license one rather than building property valuation software of your own.

License an AVM when

  • Standard residential property in well-covered markets
  • You only need a figure, not the reasoning
  • Valuation is a feature, not your advantage
  • Occasional volume

Build your own when

  • Your market, property type or asset class is poorly covered
  • You need the comparables and factors behind each value
  • Your own transaction data is better than anyone else's
  • Valuations sit at the centre of your product or lending process
Gradient

///WHAT THE MODEL COVERS

Who Uses Real Estate Valuation Software, and Why

Instant valuations that turn a "what is my home worth?" visit into a seller lead, and pricing support for listing appointments.

Learn More

Pre-screening applications and monitoring the value of a loan book between formal valuations, under the quality controls lending requires.

Learn More

Screening thousands of properties for acquisition before anyone visits one.

Learn More

Revaluing a portfolio between formal valuations to track performance and exposure.

Learn More

Income-based estimates from rent rolls and market yields to support underwriting and portfolio reporting.

Learn More

/// MODULES

What an Automated Valuation Model Includes

Comparable selection

Comparable selection

Property attributes

Property attributes

Model ensemble

Model ensemble

Confidence scoring

Confidence scoring

Condition from photos

Condition from photos

Market trend adjustment

Market trend adjustment

Valuation API

Valuation API

Backtesting and monitoring

Backtesting and monitoring

Explainability

Explainability

Commercial income approach

Commercial income approach

/// HOW A VALUATION IS MADE

How an Automated Valuation Is Made

STAGE 1 - REQUEST

A value is needed

Property identified and matched to its records

STAGE 2 - GATHER

Data is collected

Attributes, recent sales and market indices pulled together

STAGE 3 - COMPARE

Comparables are chosen

Similar sales selected and adjusted for differences

STAGE 4 - ESTIMATE

A value is calculated

Several models combined into one estimate

STAGE 5 - SCORE

Confidence is measured

A range and confidence score set; unreliable cases flagged

STAGE 6 - LEARN

The property sells

Estimate compared with the actual price and the model retrained

/// WHAT MAKES A VALUATION RELIABLE

What Makes a Valuation Reliable — or Not

Comparable coverage
What it does to accuracyFew recent sales nearby widens the error
How it is handledThe confidence range widens and the estimate is flagged
Unusual properties
What it does to accuracyUnique homes and mixed-use buildings have no true comparables
How it is handledLow confidence; routed to a human valuer
Stale data
What it does to accuracyMarkets move faster than sales records
How it is handledOlder sales adjusted with local price indices; recent sales weighted
Hidden condition
What it does to accuracyRecords say nothing about a renovated kitchen or a leaking roof
How it is handledAdjusted using photos or inspection inputs where available
Data licences
What it does to accuracySome data cannot be displayed or reused freely
How it is handledEach source used within the terms of its licence
Bias
What it does to accuracyFactors can stand in for protected characteristics
How it is handledTested, excluded and monitored for differences in error by area

/// ACCURACY

How Accurate Is AI Property Valuation?

One headline accuracy figure hides more than it shows. A model can be excellent for suburban houses and poor for city-centre flats in the same region. Accuracy should be measured against actual sale prices, reported by area and property type, and tracked continuously as new sales arrive.

Median absolute error
What it tells youHow far a typical estimate is from the actual sale price
Share within 5% and 10%
What it tells youHow often the estimate lands close to the price achieved
Confidence score
What it tells youHow much to rely on one particular estimate
Hit rate
What it tells youHow often the model can produce a reliable estimate at all

/// COMPARE

Licensed AVM, Formal Valuation or Custom AVM Software

Speed
Licensed AVMSeconds
Formal valuation or appraisalDays
Custom AVMSeconds
Cost
Licensed AVMPer estimate or subscription
Formal valuation or appraisalPer valuation, far higher
Custom AVMBuild cost, then data costs
Standard properties
Licensed AVMGood where coverage is strong
Formal valuation or appraisalVery good
Custom AVMVery good, tuned to your market
Unusual properties
Licensed AVMWeak
Formal valuation or appraisalBest
Custom AVMWeak, but it knows when
Your own data
Licensed AVMNot used
Formal valuation or appraisalNot used
Custom AVMThe model learns from it
Accepted for lending
Licensed AVMFor screening and monitoring
Formal valuation or appraisalYes
Custom AVMFor screening and monitoring
Best for
Licensed AVMStandard needs in covered markets
Formal valuation or appraisalTransactions and loan decisions
Custom AVMProducts and processes built around valuation

/// COST AND TIMELINE

What Drives the Cost and Timeline

A pilot model for one market, tested against real sale prices, typically runs within 30 days. A production model with an API and monitoring follows within 90.

30 daysPilot model for one market
90 daysProduction model with API and monitoring

The cost moves with six things: data licences, which are usually the largest ongoing cost; how many markets and property types are covered; whether commercial property is included; the accuracy the model must reach; the volume of API requests; and, for lenders, the quality control and testing their regulators require.

/// FAQ

Frequently Asked Questions

An automated valuation model, or AVM, is software that estimates what a property is worth using data rather than a site visit — comparable sales, property characteristics, market trends and, increasingly, photos. It produces an estimate in seconds, usually with a range and a confidence score that say how much to rely on it.

It depends heavily on the market and the property. AVMs are most accurate for ordinary homes in active markets with plenty of recent sales, and least accurate for unusual properties and thin markets. Accuracy is measured by how far estimates fall from actual sale prices — the median error, and the share of estimates within 5% or 10% of the sale price — and should be reported by area rather than as one headline figure.

For most mortgage lending, no. AVMs are widely used to screen, monitor and price, but a formal valuation is still required for most lending decisions. In the US, lenders that use AVMs in mortgage decisions must now apply quality control standards covering confidence, data integrity, testing and non-discrimination.

From MLS and listing data, public property and sales records, licensed data providers and — often the most valuable — your own transaction history. Each source comes with licence terms that limit how its data can be used and displayed, and the model is built within them.

Yes, and it is one of the most effective seller lead tools a portal or brokerage can have. It shows the estimate as a range, explains the comparables behind it, and passes the enquiry to an agent. Showing a range rather than a single figure is more honest and makes the follow-up conversation easier.

By designing for it. Models are built without protected characteristics, tested for patterns that act as a proxy for them, and monitored over time for differences in error between neighbourhoods. In the US, non-discrimination is part of the quality control standards lenders using AVMs must now meet.

Partly. Commercial property is valued mainly on income, so the model works from rent rolls, operating costs and market yields rather than comparable sales alone. It is useful for screening and portfolio reporting, but commercial valuations depend on lease detail and judgement, and a valuer remains essential for transactions.

/// RELATED SERVICES

Related Industries and Services

Routes where scope overlaps with real estate software.

/// GET STARTED

Start With the Sales You Already Know

Tell us which markets and property types you need to value, and what data you hold on past sales. We will assess, free, how accurate a model could be on your data — and where it would need a person instead.

Contact Us