Meet MyGoBigData, the real estate artificial intelligent engine, designed for institutional investors and high-net-worth individuals to make decisions on selecting lands and buildings with different profit margin strategies.
Training the artificial intelligence model with real estate big data, machine learning algorithms and industrial alternative data, MyGoBigData can precisely screen lands and buildings with business opportunities, according to diversified investment targets.
Meet MyGoBigData, the real estate artificial intelligent engine, designed for institutional investors and high-net-worth individuals to make decisions on selecting lands and buildings with different profit margin strategies.
lands inferred with business opportunities
valuation of lands inferred with business opportunities
lands with mortgage loans inferred with sale intention
With cadastral data, market data and alternative data, we've trained the AI model which intteracts in a visual way. Investors can screen to select lands in urban and non-urban planning districts by tailor-made conditions of diversified profitable business models.
The AI Evaluation, which determines the economic value of a real estate investment and infers the most likely closing prices of target properties in time, provides our investors the baseline of lower risks and a better margin of safety.
individual owners inferred with ownership aggregation of diversified properties
institutional owners inferred with ownership aggregation of diversified properties
buildings with mortgage loans inferred with sale intention
We've built the comprehensive social graph of debtor and creditor by training the AI model with big data on ownership registration, mortgage loans and alternative data.
Through the visualized AI model, our investors can easily look up investment targets with customized conditions, identify the owner's demand for funds of every single target property, and screen buildings with profitable opportunities in preferred districts.
high-net-worth owners inferred with ownership aggregation of Lands
high-net-worth owners inferred with ownership aggregation of buildings
high-net-worth lenders inferred with social graph of debtor and creditor
By the inference of the AI model, we can offer a list of prospective buyers for specific properties. This will facilitate the liquidation of real estate assets with higher conversion rate.
Through the analysis with our unique social graph, the AI model will be able to predict the most possible and suitable candidates for lenders in specific districts.
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CONTACT US TO GET MORET:+886-2-25075685 myservice@mygo.com