Seeking Asset owners and/or Property managers for a Pilot
Stroom Technologies is ML powered match marketplace and Platform for Commercial Real Estate Professionals. Our product suite includes tools for smart lead generation, portfolio management and price optimization. 

We are seeking potential partnership opportunities with CRE Asset owners, investors, REITs, Property Managers, Lenders, Appraisers and/or Brokers to pilot the product in United States. Any leads would be much appreciated. Feel free to comment / dm / email: [keval@stroom.app](mailto:keval@stroom.app), if interested. 

Our website is: [https://properties.stroom.app/](https://properties.stroom.app/). 

Product info: [https://properties.stroom.app/product](https://properties.stroom.app/product) 

Video for quick platform demo: [https://youtu.be/OF5TGXuEjgw](https://youtu.be/OF5TGXuEjgw)
[{"id": "fr8al94", "text": "I\u2019ll bite.\n\n- How is your program actually using machine learning (obviously not the proprietary stuff, but right now it seems to just be a data dashboard?)\n\n- What are your data sources (manually updated, pulling from third-party sources, etc.)", "replies": [{"id": "fr8erfj", "text": "Great questions.\n\n&amp;#x200B;\n\n* Platform leverages ML for a) Lead Generation. The leads table is populated by a algorithm that matches tenants to vacant properties based on a set of characteristics/preferences. b) The price optimization product uses ML to estimate demand and calculate optimal price for a property at a given time period. c) Forecasting CRE market vacancies, rents is econometric modeling + ML.\n\n&amp;#x200B;\n\n* Depending on the product, the lease &amp; sales comps is third party data providers, Assets/Properties/Leasing data either pulled directly from customer DB or listings on our Marketplace, Pricing - mix of raw data from third party data provider, customer data, and hopefully first party data from our marketplace as we scale/gain traction. We are building data pipelines, API, Scripts to read data to minimize any manual work. \n\nI hope that helps.", "replies": [], "depth": 2}], "depth": 1}]