Xoople provides an enterprise‑grade API that delivers continuous, high‑resolution geospatial data from satellite observations, transformed into open, machine‑readable formats. The service gives large organizations and government agencies a real‑time, global baseline for AI training, risk analytics, and operational decision‑making across sectors such as infrastructure, agriculture, and logistics.
Funding
$225M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises and government agencies lack timely, high‑resolution physical data about the Earth's surface, making it difficult to train AI models, assess risk, and automate decisions that depend on real‑world conditions.
Solution
Xoople builds an Earth data infrastructure layer that continuously captures, refines, and delivers global, high‑resolution measurements of the planet’s surface. By converting trillions of pixels from satellite and sensor observations into open, machine‑readable formats, Xoople provides a verifiable “Earth’s System of Record.” This data is exposed through a consumable API that can be integrated directly into enterprise workflows, analytics platforms, and AI pipelines. The service offers an always‑on baseline of physical‑world context, enabling organizations to predict environmental changes, monitor infrastructure, and incorporate real‑world signals into automated decision‑making.
Target Audience
Primary customers are large enterprises and government agencies that require accurate, up‑to‑date geospatial intelligence to power AI applications, risk analytics, and operational decision‑making across sectors like infrastructure, agriculture, logistics, and public safety.
Features
- Continuous collection of deep time‑series Earth observations with global coverage and sub‑meter spatial resolution
- Automated refinement pipeline that transforms raw satellite imagery into standardized, open geospatial formats for analytics and foundation‑model training
- Enterprise‑grade API delivering real‑time, agent‑ready data streams that can be embedded in existing software stacks and cloud environments
- High‑frequency update cadence providing an always‑on baseline for rapid risk assessment, forecasting, and operational planning
- Scalable architecture supporting large‑scale AI workloads across diverse industry verticals such as transportation, agriculture, defense, and finance