Leverage data and machine learning systems to support developers on what to build and how to price units. Based on demographic, income, and wealth data, it is possible to determine the potential buyer pool size for any project accurately. Combining this with information on historical, ongoing, and planned newbuild projects, including selling time, selling price, and unit mix, you have an excellent starting point to determine what to build and the pricing strategy for your project.
| Website | https://www.plot.ai/ |
| Employees | 15 (6 on RocketReach) |
| Founded | 2022 |
| Industry | Real Estate |
| Keywords | Developer Tools, Machine Learning, Data Analysis, Market Analysis, Pricing Models, Software Development, Market Research, Data Science, Predictive Analytics, Big Data, Project Planning, Business Intelligence, Customer Segmentation, Demographic Data, Income Data, Market Sizing, Unit Economics |
| Competitors | Amazon, Microsoft, Google, IBM, NVIDIA, OpenAI, C3 AI, H2O.ai, DataRobot, Altair RapidMiner +44 more (view full list) |
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Ludvik Blom is the Chief Revenue Officer (CRO) - Eiendom.no of Plot.ai.
6 people are employed at Plot.ai.