From requirement to collected pixel, optimally
One optimizer, many missions. Whatever you are trying to observe, Zerosat picks the satellite, window, and vendor that best satisfy the requirement, and shows its work.
Maritime domain awareness
An RF geolocation of an emitter, or a vessel gone dark on AIS, tips a confirming SAR collect through cloud or night, then an optical look for identification. Scarce tasking budget goes to the anomalies, not the ships already announcing themselves.
Site and asset monitoring
Keep an AOI covered on a cadence. A standing monitor plans exactly one collection at a time from fresh orbits and a real forecast, then replans after each window, so you never miss a look or reorder by hand.
Large area coverage
A polygon bigger than one scene is split into scene scale cells and planned as a single priced mosaic. The result names each pass, how many cells it covers, the total cost, and what a larger budget buys.
Rapid response under weather
When a front would sink an optical collection, the engine re-times, re-prices, and routes to radar that sees through cloud, before the clouds arrive. The shot still lands, and the reasoning comes in writing.
Different missions, one decision layer
Tip and cue, explainably
Multi-INT collection with an audit trail on every decision. Priority aware arbitration, humans approving every order, credentials that never leave your deployment.
Pixels on a budget
Insurance, energy, agriculture, and mapping teams get the sharpest usable image per dollar, across every vendor, without a human running a spreadsheet of brochure numbers.