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.
The Orbispect console as analysts see it — regional runway at NUTS-3 today, with explainable drivers and a live trigger log. Parcel-level (individual fields) is available on subscription for most products. Every commercial product is a surface over this engine.



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.
Indices designed for parametric crop insurance — engineered to pay when the farmer is actually hurt, not when a weather station says so.
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.
Measurement, reporting and verification for soil-carbon projects — built for the EU carbon-removal certification framework, where unverifiable claims are worthless.
Disease-pressure and stress layers that tell an agronomist where to look this week — combining biological infection models with satellite anomaly detection.
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.

Twin satellites measure the pull of water itself — the most advanced water-sensing instrument humanity has ever flown. 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 satellite gravimetry, surface water and river flow from the balance. Gravimetry 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.
Long-horizon water availability as a single, explainable score per region — built for loan books, not hydrologists.
Supply-stress early warning for cities and water utilities — how much margin the local system really has, and when intervention windows close.
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 · Moje Pole — our free system for farmers — runs on the same engine as every commercial product. Real fields and full seasons of farmer decisions pressure-test every model before it ever reaches your portfolio.
Our team is preparing the release across 8+ European countries — the same toolkit, localized per country, weather and crop calendars included.
No black box. Each stage is documented, versioned and reproducible — because our customers answer to regulators and reinsurers.
We read raw satellite archives at the source — full control of the pixel chain, no third-party processing quotas.
Radar sees through cloud; optical reads the canopy. Cross-verification rejects artefacts a single sensor would miss.
Crop, water and soil models from peer-reviewed literature, assimilated with observation — not curve-fitting on pixels.
APIs, reports and dashboards with quantified uncertainty on every figure — built for underwriting and audit.
Optical imagery is table stakes — every vendor has it. Orbispect fuses the instruments most never touch: gravimetry, interferometry, thermal from the ISS, hyperspectral chemistry — and the mathematics that turns them into one answer.
Twin satellites sense the pull of water mass itself — 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.
Five decades of surface temperature archive — the longest climate baseline any instrument can offer.
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.
Satellite signal is only as good as its verification. Every layer is benchmarked against independent, in-situ national networks — and the comparison reports are part of the product.
Orbital water-storage trends cross-validated against national geological-survey well networks before any score is issued.
Gridded climate inputs are benchmarked against national meteorological station records — biases measured, documented and corrected.
Basin and flood indicators verified against national hydrological gauge readings — we publish where models agree and where they do not.
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.
Different institutions read the same Earth differently. Each segment gets its own product surface — the physics underneath is shared.
Parametric triggers, exposure maps and season outlooks with audit-ready payout logic.
Water and climate risk scored at portfolio level — collateral that stays solvent in dry years.
Supply-region yield intelligence, conflict-zone assessment and Scope 3 carbon in one contract.
Supply-stress early warning and depletion runways for water systems under climate pressure.
Catchment-level inflow, snowpack and sedimentation intelligence for generation planning.
Free daily decision tools and open regional risk maps — our credibility engine, not a revenue line.
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.
ORBISPECT P.S.A. · BIURO: UL. ZŁOTA 75, WARSZAWA, POLAND · PILOTS@ORBISPECT.EU
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