Link to original article: For Dataplor’s data intelligence tool, it’s all about location, location, location
If you want to get your product in a grocery store in Mexico City, Dataplor has global location intelligence to help you do that.
Founder and CEO Geoffrey Michener started the company in 2016 to index micro-businesses in emerging markets. The company raised $2 million in 2019 to bring Latin American food delivery vendors online.
Dataplor uses artificial intelligence, machine learning, large language models and a purpose-built technology platform to take in public domain data.
While that is not totally unique — there are companies like ThoughtSpot, Esri and Near doing something similar around business and location intelligence — Dataplor’s “secret sauce” is combining all of that technology and public domain data with a human factor. The company recruits and trains over 100,000 human validators, called Explorers, to validate all the data via computer. In addition, no personally identifiable information is used.
What results is answers to questions like “How many Taco Bell locations were opened across South America last year?” or “What percentage of Walmarts in Europe are located near a fast food restaurant?”