Field notebook · v0.1 · 2026
SoilFlux
Vision

Healthier soil under
more of the world's farmland.

The soil under a farm is the most chemically and biologically complex centimetre of any production system on Earth. Treating it like the living, place-specific organism it is — at scale, with credible models — is how we get out of the cycle that got us here.

The AlphaFold of soil.

One global model of the soil — its state and its dynamics — queryable anywhere on Earth from public data, sharpened by cheap field sensing. The same shift AlphaFold brought to biology, brought to the ground beneath agriculture.

The analogy where it counts

AlphaFoldSoilFlux

Unified a fragmented field — one model, not one experiment per protein

Unifies fragmented soil science — one model, not one predictor per property

Sequence → 3D structure, globally

Coordinates (+ sensors) → full soil state + dynamics, globally

Foundation model across all proteins

Foundation model across modalities, regions, and time

Per-residue confidence (pLDDT)

Per-prediction spatial-CV confidence bands

Changed the field to predict-then-verify

Cheap field sensing closes the loop — predict-then-verify in your hand

Harder than protein folding in one way

Soil is not a static structure to predict once. It is a living, dynamic system that changes with climate, management, and time. The model has to capture the dynamics — not just a snapshot. That is the bar SoilFlux is building to.

Four questions, one model

Today, each question needs a different tool. The bet is that state, dynamics, decision and measurement — unified in one representation — is worth more than the sum of four siloed predictors. Each constrains and sharpens the others.

  1. 01State

    What is this soil?

    Chemistry, biology, physical structure, microbial community, pathogen pressure — at any coordinate on land.

  2. 02Dynamics

    How does it change?

    Soil carbon, nutrient cycling, microbial succession under climate and management. Forecasts, not just snapshots.

  3. 03Decision

    What should I do?

    Inoculant fit, crop suitability, intervention timing — with calibrated confidence and an evidence chain you can defend.

  4. 04Measurement

    What is actually here?

    Refine the global prior with a grower's own VIS+NIR spectra, microscopy, sensor stream. The local truth completes the picture.

Same vision. Two lenses.

If you run trials, advisory, or a farm

A predictor you can defend to your board, your buyer, or your own field walk.

Today you triangulate across a lab panel, last year's data, a consultant's instinct, and a vendor's product sheet. The AlphaFold-of-soil thesis collapses that triangulation: one model, queryable at any coordinate, with the confidence on every claim spelled out — and the same global prior is what gets sharpened when you take a measurement in your own field.

Concretely: a biocontrol R&D lead picks a candidate trial site and gets a forecast that walks into the trial-approval memo. An agronomist on a cooperative scales site-specific advice across thousands of fields, consistent across advisors. A grower walking the field gets a 10-second read from the same model that runs enterprise pilots.

If you back foundation models in deep verticals

A foundation-model bet on the ground beneath the food system — defensible by the law of conservation.

The bet has the shape of Harvey for legal, Hippocratic for medicine, AlphaFold for biology — a foundation model that owns one critical interface in a vertical that has historically been served by fragmented, siloed predictors. The differentiation is structural: physics-grounded constraints (conservation laws) bound what the learned model is allowed to believe, which means accuracy compounds rather than drifts as data scales.

The wedge is biocontrol R&D (the buyer who pays €500k–€5M per trial today and can defend €25–€100k per pilot for forecast quality), but the same model powers agronomy, grower-tier field sensing, and — long-horizon — carbon-market quantification. Three markets, one model.

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§ 06 · In closing

“The AlphaFold of soil — a single dynamic global model, queryable anywhere on Earth from public data, sharpened by cheap field sensing. What your soil is, how it will change, and what to do about it — with calibrated confidence and an evidence chain.”

The SoilFlux team · 2026

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