D
Dataplor
Dynamically updated global POI data for improved location intelligence and data-driven decisions
About Dataplor
Dataplor is a cutting-edge data analytics startup that specializes in providing highly accurate Points of Interest (POI) and territory data on a global scale. The company serves a diverse range of clients, including businesses, investors, and market analysts, who require precise and actionable data to make informed decisions. Operating in the geospatial analytics market, dataplor stands out by offering advanced qualitative Key Performance Indicators (KPIs) that go beyond traditional data metrics.
The business model of dataplor revolves around enriching existing systems with accurate POI data, enabling clients to discover where their products are sold globally in near real-time. This allows businesses to map out the competitive landscape and stay ahead of evolving consumer demand. By leveraging its industry-leading Quality Control (QC) process, dataplor ensures that the data provided is reliable and can be used for accurate business forecasting.
Dataplor makes money by selling its data and analytics services to businesses and investors who need to understand market trends, identify emerging opportunities, and make strategic decisions. The company’s data-driven insights help clients recognize areas with strong brand growth, which can be positive indicators of future success. Additionally, by monitoring competitors' expansion and business strategies, dataplor provides valuable intelligence that can drive results and inform market entry strategies.
The company’s commitment to customer-centricity is evident in its approach to shaping its services around the needs of early adopters and continuously evolving to solve real-world challenges. With a team of world-class data specialists, dataplor remains dedicated to delivering exceptional global data that supports effective investment decisions and sustainable growth strategies.
Source: Dealroom company dataAt a glance
- Status
- Operational
- Founded
- 2016
- Headquarters
- Manhattan Beach, United States
- Employees
- 87
- Open positions
- None listed
- Dealroom signal
- 81.8/100
- Industry
- Marketing
- Sector
- Marketing, Verification, Location Based, Core AI, Platform, AI Applications
- Technology
- Artificial Intelligence, Big Data, Machine Learning
- Business model
- SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES B✓Equity / VC | Jun 2025 | $21M | $82M | ff Venture Capital · Spark Capital · Two Lanterns Venture Partners · APA Ventures | ↗ |
| SERIES A✓Equity / VC | Apr 2024 | $11M | $42M | Quest Venture Partners · Acronym Venture Capital · Two Lanterns Venture Partners · Circadian Ventures | ↗ |
Growth signals
Latest recorded traffic for Dataplor is 4.7K monthly website visits, down 2.1% over the last three months. Dataplor's team grew 20.8% over the past year.
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed5 investors entered at this stage
Quest Venture Partners
Blue Startups
Sidekick Fund
Magma Partners
APA Venture Partners
Series A9 investors entered at this stage
ff Venture Capital
Space Capital
Acronym Venture Capital
Two Lanterns Venture Partners
Circadian Ventures
Spark Capital
F-Prime- AVAPA Ventures
Alumni Ventures
Other known investors6 additional known investors
Andrew Finn
Joshua B. Siegel
Mat Kaliski
Mike Dowdle
Navigate Ventures
Patrick Mathieson
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Dataplor on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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