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Precursor

Precursor collects high‑resolution earth observation data from proprietary ground stations and dedicated satellites, then applies machine‑learning algorithms to generate real‑time geospatial intelligence on extreme events.

Founded 201715500+ followers
Updated 1 month ago

Funding

Funding not disclosed

CD
Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Decision-makers lack timely, high‑resolution information about imminent extreme geospatial events such as earthquakes and space‑weather disturbances, making it difficult to prepare assets, operations, and emergency responses in advance.

Solution

Precursor operates a proprietary network of multi‑sensor ground stations and dedicated satellites to collect high‑resolution earth observation data. Advanced machine‑learning models process this data to produce deterministic forecasts of earthquake location, magnitude, and timing days ahead of occurrence, as well as real‑time nowcasting and deterministic forecasting of ionospheric space‑weather impacts. The platform delivers actionable geospatial intelligence through dashboards and APIs, enabling asset owners, governments, insurers, and aerospace operators to assess risk, plan mitigations, and manage operations with greater lead time.

Target Audience

Primary customers include private asset owners, governments and emergency‑management agencies, insurers/reinsurers, and commercial, defense, and aerospace organizations that operate in seismically active or space‑weather‑sensitive environments.

Features

  • Proprietary ground‑station and satellite sensor suite delivering high‑fidelity, multi‑modal earth observation data
  • Deterministic earthquake forecasting that predicts location, magnitude, and timing days in advance, validated on over 50 events across multiple regions
  • Space‑weather nowcasting with ionospheric measurements offering 1,000× finer spatial and temporal resolution than existing services
  • Deterministic space‑weather impact forecasting for terrestrial and space‑based assets, integrated into a real‑time impact assessment tool
  • Machine‑learning analytics pipeline that transforms raw sensor data into actionable risk metrics and visualizations
  • API and dashboard access for seamless integration with enterprise risk‑management, emergency‑response, and asset‑monitoring workflows
This profile is AI-generated and may contain inaccuracies.