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Voygr

Voygr provides a platform that continuously validates and enriches location and point‑of‑interest data by aggregating multiple sources and applying configurable matching rules. The service delivers near real‑time updates on address changes, operating status, and contextual attributes, accessible via API or data export for enterprises needing reliable location intelligence in finance, retail, logistics, telecom, and public‑sector applications.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Businesses that rely on location and point‑of‑interest (POI) data often face outdated or inaccurate information, leading to errors in risk assessment, site selection, logistics planning, and customer engagement. Maintaining fresh, validated attributes such as address, operating status, hours, and pricing across many sources is time‑consuming and error‑prone.

Solution

Voygr offers a platform that continuously validates and enriches location and POI data by aggregating multiple data sources and applying configurable matching rules. The system detects relocations, rebrands, closures, and attribute changes in near real‑time, while also attaching contextual information like reviews, news articles, and events. Users receive up‑to‑date, high‑precision location records that can be integrated into finance, retail, logistics, telecom, and public‑sector workflows for risk scoring, site selection, and geospatial analytics. The platform’s on‑demand attribute tracking and decision thresholds enable automated data pipelines that keep downstream applications reliable without manual intervention.

Target Audience

Primary customers are enterprises in finance, insurance, retail, logistics, telecom, real‑estate, and public‑sector organizations that require accurate, up‑to‑date location intelligence for risk assessment, site selection, and operational planning.

Features

  • Multi‑source verification engine that cross‑checks addresses, contacts, and operating status to identify discrepancies
  • Configurable rules and decision thresholds for automated detection of relocations, rebrands, and closures
  • Continuous enrichment with contextual data such as reviews, news, events, menus, and pricing
  • Real‑time freshness scoring to indicate historical existence and current operational status of each POI
  • API and data export options for seamless integration into finance, retail, logistics, telecom, and public‑sector systems
  • Scalable architecture that supports rapid expansion into new categories and geographic regions
This profile is AI-generated and may contain inaccuracies.