Mass Valuation and Predictive Modelling

Gesvalt Data offers mass and automated valuation services for all types of real estate assets. Our models have been developed from more than 30 years of experience in real estate and business valuation, combined with the most advanced technologies of massive data analysis.

Millions of valuations, property market data and appraisals desktop The data collected by our teams feeds our artificial intelligence models for estimating the value of assets.

In addition, Gesvalt Data's mass valuation services are flexible: you can configure everything from the valuation methodology to the form of implementation, be it via API, CSV or SaaS, iframe, among others.

What is automated mass valuation modelling (AVM)?

Automated valuation based on data, algorithms and machine learning

The Automated Mass Valuation Modelling (AVM) is an innovative solution that combines mass data, advanced statistical modelling and techniques of artificial intelligence and machine learning, to estimate the value of real estate assets quickly, consistently and accurately.

Our models integrate information from extensive historical databases, contrasted with updated market data and supply and demand variables, to provide estimates of high technical rigour. Thanks to the application of hedonic, econometric and comparables algorithms, we achieve reliable results without the need for an individual physical inspection, always under the supervision of a specialised technical team.

This system is particularly effective for the assessment of homogeneous and high turnover assetsThis allows large portfolios to be analysed in very short periods of time, with full traceability and quality assurance.

Users: financial institutions, asset managers, insurance companies, marketing agencies

The AVMs that we carry out at Gesvalt are designed to meet the needs of multiple sectors. Among our main users are:

Financial institutions,which require massive valuations for credit risk management or compliance with Bank of Spain regulations.
Asset managers and investment funds,who need to analyse and optimise large real estate portfolios.
Insurance companies,which use these models to calculate premiums and assess risks associated with real estate.
Marketing agencies and companies in data analyticsThe aim of the project is to develop a new strategy for the development and implementation of the asset value variable, which incorporates the asset value variable into its segmentation and targeting strategies.

In all cases, our models guarantee speed, scalability and consistency, enabling organisations to make decisions based on solid, up-to-date information.

Mass appraisal services with AVM technology

AVM for real estate portfolios with thousands of assets

At Gesvalt, our mass appraisal services using AVM are designed to process large real estate portfolios, with thousands of assets, in an efficient and rigorous manner. We apply advanced statistical-analytical methodologies, such as hedonic, econometric and comparables models, fed by powerful databases and machine learning,this allows us to provide reliable and homogeneous estimates without individual face-to-face intervention.

Templates adjustable to the requirements of the Banco de España or regulatory bodies

As a valuation company approved by the Bank of Spain, our models of Automated Valuation (AVM) comply with the principles set out in the Order ECO 805/2003,in particular with the provisions of its Article 15a on valuations carried out by automated procedures. Furthermore, and in accordance with the AEV AVM Standardto which we adhere, we apply the generally accepted valuation practicesusing the methodology of comparison, cost or updating of flows/rents according to the basis of value to be estimated. All of this is carried out in full compliance with Spanish valuation regulations and in line with the International Valuation Standards (IVS) and the European Valuation Standards (EVS).

Assessment with multiple scenarios according to typology, area or risk

AVMs can generate valuations segmented by asset type, geographical area and risk level. This multi-scenario capacity is based on the detailed analysis of market and property variables, facilitating the projection of results under different strategic contexts, a key tool for investment, sale or financing decisions.

Integration with internal customer systems for full automation

Our models are easily integrated with our clients' internal systems to achieve complete automation of the valuation flow. This technological compatibility allows total fluidity in the incorporation of data, execution of valuations and obtaining of results, favouring operational efficiency and reduction of response times.

What variables and metrics are estimated with predictive models?

Responding to the informational intent of technical and financial users

Estimating current prices and projecting future prices

Our AVMs calculate current value and project future market developments using time series and statistical metrics, allowing you to accurately assess and anticipate trends.

Dynamic pricing and market benchmarking

We integrate transaction and bid data with advanced algorithms to adjust prices in real time and compare them with similar assets, both for sale and for rent.

Calculation of profitability, estimated capex and expected liquidity

We can incorporate financial analysis to estimate profitability, investment needs and potential liquidity, providing a complete picture for decision making.

Valuation adjusted to the physical condition of the asset

We apply adjustments according to the state of repair or necessary renovations, complemented by technical supervision to ensure accuracy and reliability.

How do we adapt predictive models to each client?

Adjustment by asset type, geographical area and analysis objective

We tailor our models to the specific characteristics of each asset, its location and the purpose of the study, ensuring accurate and relevant results.

Parameterisation according to need: sale, rental, revaluation, etc.

We configure the models according to the client's objective, whether it is to optimise sales prices, set rents, project revaluations or assess risk, in order to maximise their profitability.

Output available in API formats, reports or integrable dashboards

We deliver the results in the format that best integrates with the client's processes: connection via API, customised reports or interactive dashboards for consultation and analysis.

Use cases for mass appraisal and predictive analytics

Periodic revaluation of portfolios for regulatory purposes

Asset due diligence for mergers or regulatory processes

Dynamic pricing of portfolios on sale or auction platforms

Monitoring real estate risk in credit portfolios

Massive analysis for securitisation and investor reporting

Asset and risk management support

Review and update of portfolios

Portfolio analysis for investment decisions

Request a demo of our automated valuation models

Know the estimated value of your portfolio in minutes

Get a massive and accurate valuation of all your assets in record time thanks to our AVM models.

Receive a customised sample with variables tailored to your business

Request a test report with metrics tailored to your sector, location and strategic objectives.

Frequently asked questions on AVM models and mass appraisal

What data sources does an AVM model use?

An AVM model combines market data, public records, recent transactions and valuations, cadastral information and socio-economic variables to provide accurate and up-to-date valuations.

Are these models valid for regulatory bodies?

Yes, as long as they are developed by an approved company such as Gesvalt and comply with current regulations.

Can I integrate this data into my internal system?

Yes, results can be easily integrated via APIs, automated reports or dashboards, adapting to the customer's workflow and tools.

What is the margin of error of a predictive model?

The margin of error varies according to the quality of the data and the type of asset, but for homogeneous properties it is usually within competitive levels in the sector, ensuring high reliability.