The startup develops a real estate appraisal tool that utilizes big data, machine learning, and artificial intelligence to enhance property valuation accuracy. By integrating econometric methods with AI algorithms, the tool automates repetitive evaluation tasks, providing users with timely and precise property value estimates.
Funding
$400K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional real estate appraisal processes can be slow, costly, and subjective, often relying on manual data collection and individual assessor judgment. This can lead to inconsistencies in property valuation and delays in real estate transactions.
Solution
Koortimativa offers an AI-driven real estate appraisal tool that automates property valuation by integrating econometric methods with machine learning algorithms. The platform analyzes extensive datasets of property characteristics and user-provided values to generate objective and timely property value estimates. By automating repetitive evaluation tasks and incorporating large data sets, Koortimativa reduces the reliance on subjective assessments, providing users with more precise and consistent property valuations. The tool also generates automated reports containing property descriptions, nearby points of interest, and suggestions for similar properties.
Target Audience
The primary users are real estate agents, brokers, appraisers, property developers, and investors who require efficient and data-driven property valuation tools.
Features
- AI-powered valuation based on machine learning and econometric analysis
- Automated report generation including property details, location data, and comparable properties
- Integration of large datasets to enhance valuation accuracy
- Continuous learning and improvement with new data inputs
- Adherence to ABNT qualitative criteria for market research