dataplor provides global POI and mobility data, combining AI, machine learning, and human validation to keep datasets accurate and current. The company offers monthly refreshed, privacy-compliant foot-traffic data alongside a proprietary POI dataset covering over 350 million POIs in more than 250 countries and territories. dataplor serves dozens of enterprise customers, including multiple Fortune 100 companies, across sectors such as technology, retail, logistics, CPG, mapping, real estate, and finance. Its data is used for operational and strategic decisions—from predicting EV charger demand to modeling property risk and identifying distribution opportunities in under-mapped regions. The company emphasizes a privacy-first approach, ensuring no personally identifiable information (PII) is used. With new capital, dataplor plans to expand geographic coverage, enrich its product suite, and accelerate customer integration and product growth. Dataplor aggregates and licenses global points-of-interest (POI) data using a purpose-built platform that combines AI, machine learning, large language models and a network of human validators. The company recruits and trains over 100,000 human validators, called Explorers, and does not use personally identifiable information. Its dataset includes more than 300 million POI records across over 15,000 brands in 200+ countries and territories. Dataplor licenses data to customers across logistics, real estate and finance, with clients such as American Express, Zettle and PayPal and more than 35 Fortune 500 users. Founded in 2016, the company has grown revenue by an average of 2.5x year-over-year since 2020 and is on track for profitability this year. Dataplor plans to use new capital to make strategic hires and accelerate sales and brand presence to grow faster. dataPlor is a Los Angeles, CA–based provider of business location data focused on growing economies. The company has built a database in México with more than 1.5M data points on brick-and-mortar businesses collected via an on-the-ground field team and diversified sources. Data are verified by humans and continually updated using artificial intelligence and machine-learning technologies. Large companies, including UberEats, iFood, and American Express, use dataPlor data to enhance their business operations. The company plans to use the funds to build out a database product, invest further in technology, hire key personnel, and expand into additional Latin American countries. Target expansion countries listed for 2020 include Brazil, Chile, Peru, Argentina, and Colombia. Dataplor operates a platform that recruits, trains and manages more than 100,000 independent contractors called Explorers to perform feet-on-the-street visits that capture latitude/longitude, photos, hours, owners’ names, contact info and payment acceptance. The company licenses that ground-truth data to customers including American Express, iZettle and PayPal and works in a joint partnership with Google and Virket to digitize Mexico. Dataplor says it has helped get 150,000 businesses onto Google in its three years of operation and employs a 13-person core team. The company emphasizes paying Explorers above-market wages rather than using a low-cost gig model. Dataplor launched in Mexico, bootstrapped its way into Brazil, and plans to expand to Chile, Peru and Colombia in 2019. Its tech and Explorer logistics are positioned as services that could interest platform companies seeking improved local data coverage.

Total raised

$35M

Funding rounds

4

Latest round

Series B

Latest activity

Jun 2025