PlanetWatchers
Third Floor, 1 New Fetter Lane, London, EC4A 1AN, United Kingdom
Overview
PlanetWatchers provides a SaaS geospatial intelligence platform that uses Synthetic Aperture Radar (SAR) and advanced machine learning to monitor natural assets and crops at scale. Its core product leverages time-series radar data to verify cover crops, tillage, planting dates, acreage, crop classification and weather damage, enabling claims analysis without field visits. The company sells Analytics-as-a-Service (AaaS) to enterprises, governments, NGOs, crop insurers and agricultural input providers. PlanetWatchers emphasizes SAR-based in-season insights to reduce overheads and increase customer satisfaction. Founded in 2016 by Ariel Smoliar, Dominic Edmunds, Roi Shilo and Shai Lev and based in London, the startup raised $11M in Series A to fund expansion and product investment. The new capital is earmarked to invest in its SAR data analytics and to expand commercial teams as it grows its footprint and addresses global food security challenges. PlanetWatchers provides a SaaS Analytics-as-a-Service platform that combines synthetic aperture radar (SAR), multi-source satellite sensors, elastic cloud infrastructure, and advanced machine learning to monitor natural assets and support crop insurers. The company delivers time-series radar-based insights—planting dates, acreage, crop classification, and claims validation—to enable remote claims assessment without field visits. PlanetWatchers exploits SAR to provide accurate insight regardless of cloud cover, weather, or lighting, aiming to reduce overheads and increase customer satisfaction. Founded in 2016 and based in London, it sells to enterprises, governments, and NGOs and counts customers including ProAg, the World Bank, and the Environmental Protection Agency. The startup closed a $3.5M Pre-A funding round and plans to use proceeds to expand its commercial team and invest in SAR-based data analytics, with near-term expansion across America and into Europe.
- Total raised
- $15M
- Funding rounds
- 2
- Latest round
- Series A
- Latest activity
- Sep 2022
Industries
- Analytics
- Computer Vision
- Geospatial
- Machine Learning
- Natural Resources
Recent funding
Series A
Sep 2022
$11M
Series A
Jun 2021
$4M