See Signals First

Commodity markets rely on delayed, aggregated reporting that obscures real-world variation at the source. Treefera’s Market Intelligence delivers near real-time, first-mile insights using satellite data, weather & climate volatility analysis and phenology modelling to detect shifts in yield, land performance and supply risk before they are reflected in price.

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AI-native Intelligence Platform for Information Advantage

By combining satellite, weather & climate and environmental data, Treefera helps traders and analysts identify supply shifts and emerging volatility before they are reflected in public data or prices. Delivered as weekly csv files and monthly written reports, Treefera Market Intelligence provides information advantage ahead of the market.

Production Area

Yield Forecasting

Production Area

Monitor land-use changes and cultivation patterns


Timely, repeatable estimates on:

  • Where commodities are grown
  • How that footprint changes
  • Implications to Supply

Crop-specific detection at 92% accuracy.
Using deep learning capabilities, planted areas are identified by crop, not inferred from aggregated vegetation indices.

Treefera Market Intelligence Production area

Insights

Delivered at Speed. Built for Market Decisions.

92%

Accuracy of our crop-specific detection models

360+

Weekly forecasts, delivered with quantified uncertainty weeks or months ahead of official reports

20+

Commodity-by-region datasets

First-Mile Land Performance Monitoring

Field-level satellite insights tracking vegetation health, soil condition and use dynamics across key growing regions.

First-Mile Land Performance Monitoring

Supply Risk & Yield Deviation Modelling

AI-driven models detecting emerging production shortfalls or upside before they surface in aggregated market reports.

Supply Risk & Yield Deviation Modelling

Phenology-Aware Yield Signals

Crop-stage intelligence calibrated to local growth cycles, revealing stress, delay and yield divergence in real time.

Phenology-Aware Yield Signals

Advanced Weather & Climate Volatility Analytics

Granular analysis of temperature, precipitation and extreme events to quantify production risk at the source.

Advanced Weather & Climate Volatility Analytics

First-Mile Land Performance Monitoring

Field-level satellite insights tracking vegetation health, soil condition and use dynamics across key growing regions.

First-Mile Land Performance Monitoring

Supply Risk & Yield Deviation Modelling

AI-driven models detecting emerging production shortfalls or upside before they surface in aggregated market reports.

Supply Risk & Yield Deviation Modelling

Phenology-Aware Yield Signals

Crop-stage intelligence calibrated to local growth cycles, revealing stress, delay and yield divergence in real time.

Phenology-Aware Yield Signals

Advanced Weather & Climate Volatility Analytics

Granular analysis of temperature, precipitation and extreme events to quantify production risk at the source.

Advanced Weather & Climate Volatility Analytics
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Insights

Recent News

Treefera Market Intelligence for Agricultural and Soft commodities

COMPANY NEWS

17 February 2026

Treefera launches Market Intelligence for Agricultural and Soft commodities

Treefera launched Market Intelligence, a new data product delivering yield and production area forecasts expressed as probabilistic ranges with quantified uncertainty, across seasonal and multi-year h…

Treefera Global Risk Dashboard

COMPANY NEWS

28 January 2026

Treefera Global Risk Dashboard

Built from millions of site and plot-level observations, the Treefera Global Risk Dashboard uses AI, satellite imagery and deep scientific modelling to translate first-mile conditions into a clear, co…

Gartner Risk Technology innovation download CTA

INDUSTRY INSIGHTS

28 January 2026

Harness Innovation in Supplier Risk Management Solutions

Gartner’s latest research looks at how supplier risk management is evolving and what this means for investment decisions, operational efficiency and resilience across the supply chain

FAQ

How do commodity traders get earlier signals on yield and supply shifts?

Conventional commodity data relies on government surveys and aggregated reporting compiled after real-world conditions have already formed – giving traders little time to act. Treefera's AI-native platform applies satellite observation, phenology modelling and weather volatility analysis at field level can detect yield stress, planted area changes and supply risk weeks or months before they appear in official reports or market prices.


What is phenology-aware yield forecasting and why does it matter for commodity markets?

How is satellite data used to track commodity production area and land-use change?

What does Treefera's Market Intelligence product deliver?

How accurate are Treefera's crop detection and yield forecasting models?

Who is Treefera's Market Intelligence designed for?

How do I use Market Intelligence?

Does Market Intelligence integrate into my existing workflow?

Can I use Market Intelligence alongside Risk Intelligence or Environmental Intelligence?

What does "financial-grade risk modelling" mean?

Clear Data. Clear Decisions.

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