Today
t − weeksSlowManualFragmented
An agronomist waits weeks for lab results. A fertiliser plan runs on a handful of samples spread across several hectares. Every new tool means another login, dashboard, or app nobody opens twice.
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Commercial-grade soil intelligence for any coordinate on the planet — physics-validated, zero sampling, delivered through a single endpoint.
SlowManualFragmented
An agronomist waits weeks for lab results. A fertiliser plan runs on a handful of samples spread across several hectares. Every new tool means another login, dashboard, or app nobody opens twice.
InstantVerifiedUnified
One coordinate returns a full soil profile in seconds. The intelligence lands inside the system your team already runs — no new interface, no retraining, no extra login to remember.
Every query returns a full chemical and physical profile — NPK, organic matter, pH, texture — translated directly into a dosage plan per zone. Not a table of numbers to interpret. An amount to apply, and where to apply it.
Soil stressors and deficiencies map onto treatment recommendations for the crop already in the ground, matched to what the profile shows rather than a generic regional average.
Seeding, fertilisation, and harvest windows sequenced against real soil and moisture conditions, not a fixed date circled on a paper calendar.
Soil data feeds straight into the system already running the operation — input costs, yield forecasting, and compliance records, without a separate platform to maintain.
Most soil models treat land as a flat surface — latitude and longitude, nothing underneath. Ours adds elevation, slope, and time, so a hillside is read against physically identical hillsides, not the nearest flat field. That’s the difference between a plausible guess and a verified number.
Leveraging pixel-scale soil information to tailor nutrient applications to crop needs, improving fertiliser efficiency while maintaining crop productivity.
Anchors the reading to an exact place on the north–south axis.
Pairs with latitude to fix the coordinate precisely, east to west.
Sets drainage, temperature, and formation history for that height.
Drives how differently erosion, runoff, and compaction behave.
Reads how the land has formed and shifted, not just a snapshot.
Standard surface sampling read severe, widespread nitrogen deficiency. Checked against ground truth, our system found a stable 1.11 g/kg maintenance baseline instead — and caught something the nitrogen reading never would have: 41–45% clay concentration, a compaction risk invisible from above. The fertiliser budget went to deep-ripping instead of nitrogen that was never missing.
Arid, sandy, the kind of site every playbook says needs constant heavy irrigation. Underneath, the model predicted 39.6% clay — with no local training data to lean on. The irrigation plan changed before a single root sat in standing water.
One coordinate, one shareable record: the soil profile, the 5D reading and the date it was issued, in a link a farmer can forward to an agronomist, a lender or a buyer.
Read by AI, seen from satellite. We are the laboratory of the world.
Discover what your land is made of in a few clicks.
Already convinced by the numbers above? You don’t need to read the rest first.
“We used to wait weeks for lab results before deciding where to plant. Now we get the same answer in seconds, and we trust it enough to act on it.
Send us the coordinates of three of your hardest testing sites. We’ll return full soil profiles for you to check against your own lab results — the same standard that caught the compaction risk in Basilicata and the clay in Giza. No strings attached.