THE TRUST LAYER FOR AGRICULTURAL CAPITAL

Risk becomes
Infrastructure.

We build the calibrated trust layer for agricultural capital markets — turning signals from fields and greenhouses into risk institutions can actually price.

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90%
Empirical coverage
at the 90% target
CRPE core · LIVE
90%
Coverage · target 90%
74 × 9
Districts × years
MODIS · Sentinel-2
Data backbone
Conformal · Mondrian
Calibration
45K+
Leaf images · 44 classes
240K+
Weather records
PROJECT NYMTERRA · 1 MINUTE OVERVIEW

How it works.

From field and greenhouse signals — to calibrated risk.

THE PROBLEM

Capital is flying blind.

$99B
in crop losses every year — and the risk behind them still isn't priced accurately.

Banks can price a borrower's credit risk — but not the risk to the crop itself. So they price capital for the worst case, or refuse it. And where insurance exists, payouts often miss the farm's real loss.

$99B a year — FAO 2025 Basis risk, explained — UC Davis Smallholder insurance — World Bank
GROUND-TRUTH FLYWHEEL

Ground truth accumulates.

ground truth↻flywheel
1
More farms
2
More data
3
Better models
4
Better decisions
5
Lower loss ratio
6
Cheaper capital

Every farm improves the engine. A sharper engine makes every farm more bankable. The data network is the moat — it can't be downloaded, only accumulated.

Data you can accumulate. Trust you earn.

PRODUCTS · MVP LIVE

From farms to data.
From data to capital.

Live today — SaaS dashboard, Mobile app, and the calibrated engine, all in production. By 'farms' we mean greenhouses and open fields alike.

Enterprise SaaS
Precision monitoring for commercial greenhouses.
  • Yield forecast ± interval
  • Disease-risk forecast · roadmap
  • Bankability score · roadmap
Mobile
Accessible monitoring for small farms.
  • Offline field capture
  • Ground-truth labels
  • Data coverage at scale
Hardware
IoT sensing — the data moat.
  • LoRaWAN sensors · weather · soil
  • Edge-first, offline-capable
  • A data moat, not a profit center
THE ENGINE · CRPE

The engine is the product.

Calibrated. Continuous. Built for decisions. Institutions don't buy software — they pay for access to calibrated risk intelligence.

CRPE (the Calibrated Risk Prediction Engine) doesn't just predict a yield — it states how confident it is. Using conformal prediction, every estimate carries a calibrated interval with a coverage guarantee. Mondrian cell-aware calibration lets that interval widen where risk is genuinely higher and tighten where it isn't — so underwriters see real uncertainty, not a single fragile number.

90%
empirical coverage at the 90% target
74 × 9
districts × years

CQR delivers a tighter interval than Gaussian at valid 90% coverage (9.70 vs 9.81) — less over-reserved capital.

BanksPer-hectare licensing · API
InsurersMGA · % of premium
GovernmentsSovereign data contracts
WIDER WHERE RISK IS HIGHERTIGHTER ELSEWHERE
Built on open, globally-available data layers — architected to scale across the climate belt.
Coverage is validated across 74 districts in Kazakhstan over nine years. Field-level validation is the next milestone — and we say so.
UNDER THE HOOD

Built on open, global data layers.

Earth observation
  • Sentinel-2 / Sentinel-1
  • MODIS
  • NDVI time series
Climate & soil
  • ERA5 · CHIRPS
  • NASA POWER
  • SoilGrids
Risk calibration
  • Proprietary calibration layer
  • Coverage-guaranteed intervals
  • Continuous retraining
Edge-first serving
  • LoRaWAN sensors
  • Offline-capable
  • API-first engine

The same pipeline runs anywhere these layers exist — the engine scales across the climate belt.

MARKET

Start small.
Own the infrastructure.

We deliberately start where calibration matters most, then the engine scales across the climate belt. Infrastructure scales better than software.

KazakhstanCentral AsiaMENA

Kazakhstan already runs this market — established agricultural lending, satellite-index crop insurance, and international A-rated reinsurance are all in place. The market exists; the calibrated intelligence layer doesn't.

THE DOUBLE MOAT

An edge that compounds quietly.

PhD in AI engineering·~8 years in applied AI

3 USPTO patents·8 international publications

Two layers that compound: the calibration science, and the ground truth beneath it. One can be rebuilt. The other cannot be downloaded.

Trustworthy enough to underwrite — the founder's research specialty.

CONTACT

Get in touch.

We're building the trust layer for agricultural capital in emerging markets — and onboarding design partners, institutional pilots, and investors now.