Orbispect turns raw satellite archives into decision-grade signals for agriculture and water risk — insurance triggers, water-security analytics, compliance evidence and yield outlooks. Per parcel, per district, per basin — always with quantified uncertainty.
Two decades of satellite-derived river discharge, processed in-house into a continent-wide record of how much water is actually moving through Europe's river network. Below: the measured discharge anomaly for the most recent complete August in our record — August 2025 — against the long-term August normal. Real observations, not a forecast.
Measured river discharge anomaly across Europe, processed in-house. Real data — not a live system, not a forecast. Contains modified third-party Earth-observation data.
See how we measure it →Our flagship — the AgroTransformer yield engine — leads four risk products for institutions that carry agricultural exposure. The water package extends the same engine; country monitoring packs ship as add-ons.
A deep sequence model trained on two decades of official EU yield statistics, fused with daily satellite and climate time series. Instead of guessing from pixels, it is anchored to a process crop model — the network learns only what the physics misses.
A change-detection capability for infrastructure, land use and unauthorized construction — we hold the imagery archive and the methods to compare two passes of the same place and flag what physically changed between them. Built as a capability, not yet a live operational product.
Where war or politics cut off official statistics, the fields are still there — and satellites still see them. We estimate planted area and crop condition in data-void countries, calibrated against published scientific studies.
We measure the full water column — surface balance from weather, evapotranspiration and soil moisture; groundwater from gravity — and we fuse the two. One engine, both halves of the cycle, built for institutions whose balance sheets depend on water.

We measure the change in the continent's water mass itself from orbit — one of the most sensitive water signals we can read. Our engine turns that planetary signal into a district-level map of structural decline: red is not a dry month, it is a trend.


We measure the whole water column and fuse it: deep groundwater from orbital water-mass sensing, surface water and river flow from the balance. The mass signal alone sees regions; streamflow alone sees rivers — together, downscaled to district level, they become one local decision tool. That fusion is what nobody else sells.
The ground moves by millimetres a year — sinking aquifers, settling foundations, slipping slopes — long before a crack is ever visible. We hold the methods and the archive to read that motion from orbit at millimetric precision. Built as a capability on layers we run, not yet a live operational product.
Reservoirs silently lose capacity to sediment every year. HydroSed reads sedimentation, snowpack and inflow from orbit — generation risk from the whole catchment, not just the gauge.
Niezbędnik Rolnika is our free decision app for farmers — and the proving ground for every commercial model we ship. It opens the day's spraying windows, reads the weather and field-operations outlook, and turns each of your own parcels into a live picture: satellite crop condition, a running water balance, and alerts the moment a window opens or closes.
Real fields and full seasons of farmer decisions pressure-test every layer before it ever reaches an institutional portfolio. The same engine, the same satellites — handed to the people who walk the soil first.
Our team is preparing the release across 8+ European countries — the same toolkit, localized per country, weather and crop calendars included.
Optical imagery is table stakes — every vendor has it. Orbispect fuses the instruments most never touch: orbital water-mass sensing, ground-motion radar, thermal from the ISS, many-band spectral chemistry — and the mathematics that turns them into one answer.
We sense the change in water mass itself from orbit — the only way to see deep groundwater from space.
Millimetre-per-year ground motion from phase shifts between radar passes — subsidence and soil stability, through cloud.
High-resolution canopy temperature radiometry — crop water stress detected days before it is visible to any camera.
200+ spectral bands read soil carbon, clay and plant nitrogen as chemical signatures — lab analysis from orbit.
Methane column retrievals screen super-emitters — the climate liability most portfolios cannot see.
Microwaves that penetrate the canopy to read root-zone soil moisture — the variable rain gauges never see.
→ SOIL MOISTURE · DROUGHT INDEXFive decades of surface temperature archive — a multi-decade climate baseline.
Ensemble Kalman assimilation, Bayesian structural time series, Gaussian-process error fields, copula risk models — the layer most vendors skip.
Operators and markets quietly restate their numbers after the fact, and only the smoothed, corrected figure survives. We snapshot every feed the moment it publishes and keep every version — so we hold the as-stated vs restated trail nobody else can reconstruct. History only accrues from the day collection starts — it cannot be bought backwards.
Every estimate ships with a confidence interval. We would rather say "we don't know" than fabricate a number — when a source is unavailable, the output says so.
Our models are anchored in peer-reviewed agronomy and hydrology, with citations available to clients and auditors — not proprietary magic.
Designed from day one for CSRD and insurance audit trails: versioned data lineage, reproducible runs, EU data residency.
The engine is country-agnostic: the same satellites fly over every basin on Earth. Today the deepest coverage is Central Europe — every new market is a configuration, not a rebuild.
A pilot starts with your parcels, basins or assets — and ends with a side-by-side validation report your board can read. For insurers, lenders, utilities and supply-chain teams.
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ORBISPECT P.S.A. · OFFICE: UL. ZŁOTA 75, WARSAW, POLAND · [email protected]
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