Homesage.ai searches for investment property across more than 155 million US properties, scanning MLS and off-market listings daily and running computer vision models over them to pick out what the numbers alone would miss. Output arrives as full property reports with investment indicators, and the same data is exposed through real estate APIs, an MCP server for AI assistants, a DealFinder mobile app and a Chrome extension.
Applying vision models to listing photographs is the substantive idea. Condition is the variable that decides an investment property and the one that never appears in structured MLS fields – an investor’s real work is looking at photographs of a hundred houses to find the six worth visiting, and that is a task machines are genuinely good at. Shipping an MCP server is a forward-looking touch that lets the data be queried from an assistant rather than only from their interface.
Two things to weigh. The claim to be ‘the first company to run Computer Vision models on all new listings in the US’ is a first-mover assertion with no way to verify it, and it is not the reason to buy. More practically, a vision model reading listing photographs inherits the agent’s photography: rooms are shot wide, damage is framed out, and the pictures are chosen to sell. Treat the output as a shortlist for inspection, never as a substitute for one. Tiers are banded by headcount at $350, $550 and $750, with no billing period stated anywhere on the pricing page. The company was founded in 2023 in Gaithersburg, Maryland.
