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
Give it a river basin or a border region and a budget ceiling. The plan comes back as a manifest: which satellite takes which cells on which pass, what each pass costs, which cells were left uncovered by the budget, and what the next dollar of budget would buy. Coverage becomes a line item conversation instead of a guess.
Rapid response under weather
A forecast turning against an optical window is caught at planning time, not after delivery of a cloud deck. The engine compares waiting for the next clear optical pass against tasking radar now, prices both, and recommends with the tradeoff spelled out, hours sooner versus resolution class, so the call is yours before money moves.
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.