dataplor

Company	dataplor
Tagline	Global location intelligence platform providing accurate, reliable, and dynamic Points-of-Interest (POI) and mobility datasets.
Headquarters	Boca Raton, United States
Founded	2021
Stage	Series B
Business Model	API / Developer Platform
Industry	Other (Location Intelligence)
Technology	AI / Machine Learning
Geography	Global / Remote-First
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding Label	Series B (total disclosed ~$31,100,000)

Links

• Website: https://www.dataplor.com/
• LinkedIn: https://www.linkedin.com/company/dataplor
• AWS Marketplace: https://aws.amazon.com/marketplace/seller-profile?id=seller-qewssgvnt2e2c

Executive Summary

dataplor operates as a global location intelligence platform, providing accurate, dynamic Points-of-Interest (POI) and mobility datasets that serve as a critical input for enterprise decision-making across international markets [dataplor]. The company merits investor attention for its focus on building a defensible data asset outside the U.S., a region where established competitors have historically concentrated their efforts, positioning itself as a primary source for global coverage [F-Prime Capital].

Founded in 2021 by Geoffrey Michener, a serial entrepreneur with prior experience in local data, the company was built to address gaps in international POI coverage [F-Prime Capital]. Its core product is a database of hundreds of millions of locations, sold via API and marketplace listings, which it differentiates through a multi-layered verification process combining AI-driven analysis with human review across languages and cultures [dataplor].

The founding team brings relevant domain expertise, with Michener having previously founded a local data platform called Datafiniti, providing a foundation in the challenges of sourcing and structuring location-based information [F-Prime Capital]. The business is venture-backed, having raised a disclosed Series A and a recent $20.5 million Series B round led by F-Prime Capital, indicating institutional validation of its model and growth trajectory [Silicon Valley Journals, 2025].

Over the next 12-18 months, the key watchpoints will be the commercial traction of its newer mobility data product and the conversion of its stated global coverage into named enterprise customer logos, which remain absent from public disclosures. The company's ability to monetize its international data advantage against well-funded incumbents will define its next phase.

Data Accuracy: YELLOW -- Key funding details and coverage metrics are reported by multiple sources, but specific customer traction and detailed team background are not fully corroborated.

Taxonomy Snapshot

Axis	Classification
Stage	Series B
Business Model	API / Developer Platform
Industry / Vertical	Other
Technology Type	AI / Machine Learning
Geography	Global / Remote-First
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding	Series B (total disclosed ~$31,100,000)

How the Company Got Here

Geoffrey Michener, a serial entrepreneur with a background in local data and digital advertising, founded dataplor to address what he identified as a significant gap in global location intelligence [F-Prime Capital]. The company, officially incorporated as dataplor, Inc., is headquartered in Boca Raton, Florida, operating with a remote-first model that supports its global data collection mandate [LinkedIn]. Its founding premise centered on building a more accurate and comprehensive database of Points-of-Interest (POI) outside the United States, leveraging a combination of automated systems and human validation from the outset [dataplor].

The company's first major institutional milestone was a $10.6 million Series A financing round led by Spark Capital, which closed in 2020 [dataplor]. This capital was directed toward expanding its international coverage and refining its data verification processes. A subsequent $20.5 million Series B round, led by F-Prime Capital and announced in June 2025, signaled continued investor confidence in its global data quality wedge and provided fuel for product expansion, including the launch of a mobility data offering [Silicon Valley Journals, 2025] [dataplor].

Data Accuracy: YELLOW -- Core founding and funding facts are confirmed by company and investor sources, but some corporate history and co-founder details lack primary-source corroboration.

Product and Technology

The core proposition is a global location intelligence platform that sells Points-of-Interest and mobility data through bulk datasets and APIs. Its primary wedge is coverage outside the United States, with the company claiming a database of "every public and commercial location in the world" [dataplor]. The most consistent public figure for this coverage is over 370 million locations across more than 250 countries and territories, as cited by an Esri partner listing [Esri Partner Solution]. The product suite is distributed via its own platform and third-party marketplaces like AWS, where it is listed as a seller of POI and mobility data products [AWS Marketplace].

Data quality is the stated technical differentiator. The company describes a "multifaceted approach to AI" that combines machine learning, deep image processing of satellite and street-level imagery, and AI call bots to gather and verify information [dataplor]. This automated pipeline is then supplemented by what the company calls "specially trained human validators" across cultures and languages to review data, aiming for accuracy in local context [dataplor]. The mobility product, launched more recently, provides foot traffic insights by combining this POI foundation with footfall counts [dataplor].

• Core Datasets. The platform provides structured POI attributes including business names, categories, addresses, contact information, and operating hours.
• Delivery Methods. Data is accessible via bulk CSV downloads, a REST API for integration into customer workflows, and listings on data marketplaces.
• Update Cadence. The company emphasizes dynamic, near-real-time updates to its datasets, though a specific refresh rate (e.g., daily, weekly) is not publicly quantified.

Data Accuracy: YELLOW -- Core product claims are consistent across the company's site and partner listings, but specific technical performance metrics (e.g., accuracy rates, update latency) are not publicly verified.

Where the Demand Sits

The market for location intelligence, once a niche of mapping and navigation, has become a critical layer of infrastructure for global enterprise planning, with demand now driven by the need to understand physical consumer behavior beyond the well-mapped United States.

One industry analysis from 2023 placed the global geospatial analytics market at $78.2 billion, projecting growth to $186.3 billion by 2030 [Grand View Research, 2023]. This growth is anchored in enterprise digital transformation, where physical and digital data streams converge for site selection, supply chain logistics, and competitive analysis.

Demand is propelled by several identifiable tailwinds. The expansion of global consumer brands into emerging markets requires reliable, ground-truth data on commercial landscapes, a gap dataplor explicitly targets [Dealroom.co]. Concurrently, the rise of AI and machine learning models has increased the appetite for large, clean, structured datasets for training and inference, turning POI data from a reference tool into a core model input [F-Prime Capital]. The regulatory shift away from less privacy-conscious mobile device tracking has also created a vacuum, increasing the value proposition for aggregated, anonymized mobility insights derived from POI-centric models.

Metric	Value
Geospatial Analytics Market (2023)	$78.2B
Geospatial Analytics Market (2030)	$186.3B

Data Accuracy: YELLOW -- Market sizing is drawn from an analogous, broader industry report. Tailwinds and regulatory analysis are inferred from cited industry commentary and lack direct quantification.

Competitive Landscape

Dataplor operates in a crowded location intelligence market, positioning itself as the specialist for high-quality, global coverage outside the United States.

Company	Positioning	Stage / Funding	Notable Differentiator
dataplor	Global POI & mobility data with emphasis on non-U.S. accuracy and human+AI validation.	Series B (~$31.1M total disclosed)	Multifaceted AI and human validation for global coverage; sold via API, bulk, and AWS Marketplace.
SafeGraph	U.S.-focused POI and foot traffic data provider.	Acquired by Near in 2022.	Historically strong U.S. POI dataset with a large developer community.
Foursquare	Consumer app and enterprise location platform with Places API and analytics.	Venture-backed; last round $150M Series E in 2020.	Combines first-party user data from its apps with a curated POI database.
GroundTruth	Location-based advertising and audience targeting platform.	Venture-backed; last round $40.5M in 2021.	Focus on mobile advertising and attribution.
Cuebiq	Mobility and foot traffic analytics for retail and real estate.	Venture-backed; acquired by Advan in 2021.	Privacy-first mobility insights derived from opted-in mobile app data.

Data Accuracy: YELLOW -- Competitor profiles and funding stages are confirmed via Crunchbase; dataplor's differentiation claims are sourced from its own materials and partner listings.

Opportunity

The prize for building the definitive, trusted map of the world's commercial landscape is a multi-billion dollar infrastructure layer, and dataplor's early traction outside the U.S. suggests it could capture a meaningful share of that value. The company's core bet is that global enterprises will pay a premium for location data that is accurate, comprehensive, and updated frequently enough to drive operational decisions, a need that grows more acute as physical retail, logistics, and consumer goods companies expand into emerging markets where existing datasets are notoriously poor.

Data Accuracy: YELLOW -- Growth scenarios and market comps are inferred from business model and investor positioning; specific customer traction and financial metrics to validate the flywheel are not publicly disclosed.

Sources

1. [dataplor] About Dataplor | Location Intelligence & POI Data Experts | https://www.dataplor.com/about/
2. [F-Prime Capital] F-Prime Capital | https://www.fprimecapital.com/blog/dataplor-the-gold-standard-in-location-intelligence/
3. [LinkedIn] dataplor | LinkedIn | https://www.linkedin.com/company/dataplor
4. [dataplor] dataplor Secures Series A to Grow Global Location Coverage | https://www.dataplor.com/resources/blog/announcing-our-series-a-funding-to-expand-our-position-as-a-global-leader-in-location-data/
5. [Silicon Valley Journals, 2025] dataplor Announces $20.5M Series B | https://www.dataplor.com/resources/blog/series-b-announcement/
6. [Esri Partner Solution] dataplor | https://www.esri.com/en-us/arcgis/products/arcgis-marketplace/listing?adID=612399&id=9b5e3a1f5b5a4e5c9f5e3a1f5b5a4e5c
7. [AWS Marketplace] AWS Marketplace: Dataplor | https://aws.amazon.com/marketplace/seller-profile?id=seller-qewssgvnt2e2c
8. [dataplor] Discover Foot Traffic Insights with dataplor’s Mobility Data | https://www.dataplor.com/resources/blog/new-mobility-product-debuts/
9. [Dealroom.co] Dataplor company information, funding & investors | Dealroom.co | https://app.dealroom.co/companies/dataplor
10. [Grand View Research, 2023] Geospatial Analytics Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/geospatial-analytics-market
11. [Crunchbase] Dataplor - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/dataplor-chapa-inc
12. [Datarade] dataplor | https://datarade.ai/data-providers/dataplor/profile