Farming at the Speed of Light.

Satellite precision. AI agronomy. Delivered directly to WhatsApp.

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🌱 Analyzing Plot #42...
Should I water my field?
💧 Moisture Low (-15%)
Analysis: mid-season dry spell detected. Recommend irrigation within 48h.

Powered by trusted global infrastructure

ESA Sentinel Google Earth Engine
24/7 Field Monitoring
7 Supported Languages
<2 min Average Insight Delivery

14M Latin American smallholders lack precision ag. Existing tech requires expensive hardware or GIS skills—none of which fit their reality. We change that by turning satellite data and GenAI into actionable insights delivered via WhatsApp. No apps, no new hardware; just high-tech farming.

Beyond Precision Agriculture.

We combine ESA Sentinels, Google Earth Engine, and Gemini AI into one seamless brain.

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Satellite Fusion

We merge Optical (Sentinel-2) and Radar (Sentinel-1) imagery to see through clouds. No blind spots, ever.

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Water Intelligence

Detect mid-season dry spell stress weeks before visible signs. Optimize irrigation schedules.

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Weather-Based Advice

Get spray windows, irrigation outlook, and frost/heat alerts. Plan fieldwork around the forecast.

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Erosion & Inundation

Automatic flood detection and erosion risk modeling using terrain slope analysis.

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Directed Scouting

Don't walk the whole field. We generate zoning heatmaps so you know exactly where to inspect.

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Ground Truth

Validate satellite findings on the ground. Upload photos to take a closer look at potential field anomalies.

🌱 Crop Health
NDVI (Vigor) 0.72 🟢
Status: Excellent. 12% above historical average (Z-Score > 1).

The Physics of Growth.

Plants talk to us through light. We decode the signal.

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Vegetation Health: The "Vital Signs"

This layer acts as a continuous health check, tracking how much "green power" a crop has throughout the season.

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What is measured: The system uses NDVI (and RVI during cloudy periods) to monitor how plants absorb and reflect light for growth.

How it works: Healthy plants reflect a specific type of light that is invisible to the human eye. Satellites capture this data and convert it into a color-coded health map.

The Actionable Insight: By identifying "lazy" spots weeks before plants physically turn yellow, the system allows for mid-season fertilizer adjustments. This ensures nutrients go exactly where they are needed most to protect final yields.

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Disease & Nutrition: Looking Beneath the Surface

Standard maps often only see the top layer of a field. This index "peers" deeper into the crop to find issues hidden within the leaves.

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What is measured: The system utilizes the NDRE (Red Edge) index, a specific wavelength that can penetrate thick, dense foliage.

How it works: When crops like corn or wheat reach peak growth, standard sensors often become "blinded" by the top leaves. NDRE penetrates the upper canopy to check the chlorophyll and Nitrogen levels in the middle and lower sections.

The Actionable Insight: It catches Nitrogen deficiencies or fungal outbreaks while they are still small and localized. This enables precision spot-spraying, which significantly reduces chemical costs compared to treating an entire field.

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Water Stress: The Early Warning System

By the time a plant visibly wilts, it has already lost potential yield. This tool identifies thirst at the cellular level.

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What is measured: The system uses NDWI to track moisture inside the leaf, and VV Backscatter (Radar) to detect soil saturation—even through heavy cloud cover.

How it works: Infrared and radar signals "feel" the actual water content in both the plants and the ground, providing a clear picture of hydration regardless of the weather.

The Actionable Insight: The data reveals when a crop is stressed before it looks dry. This allows for perfectly timed irrigation or the identification of clogged drainage tiles that may be causing root rot in flooded zones.

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Erosion Risk: Protecting the Land's Value

Topsoil is a farm's most valuable asset. This tool helps prevent permanent land degradation before it starts.

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What is measured: Using the RUSLE model, the system analyzes terrain slope, the amount of foliage covering the soil, and local rainfall intensity.

How it works: By combining a 3D model of the land with weather data, the system predicts exactly where water will flow fastest and where soil is most likely to wash away.

The Actionable Insight: By highlighting high-risk "danger zones," the system shows exactly where to plant cover crops or install physical barriers. This keeps nutrients and soil in the field and out of local waterways.

The Math Behind

Trend Detection

We compare satellite images week by week and alert you if your crop health suddenly drops.

Trend Analysis
Change Detected
Mon Tue Wed Thu Fri

Historical Comparison

We don't just look at the past few months. We compare the average with the same month for the past 5 years for a true long-term comparison.

Z-Score Analysis
Anomaly Detected

Hotspot Detection

We will continuously spot for particular hotspots in your field to detect localized infestations or erosion early on.

Heatmap Analysis
Risk Area

WhatsApp Registration.

No apps to download. No complex GIS coordinates. Register your field in seconds through a simple chat interaction.

  • 📍 Send your location drop.
  • 👆 Draw your boundary manually on the map with your finger.
  • 📄 Get your field report instantly.
Onboarding Flow

See the Invisible.

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    Drought Prediction

    Detect "Mid-summer dry spell" stress up to 2 weeks sooner than the human eye.

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    Disease Vectors

    Identify Rust and fungus hotspots using proprietary Red-Edge indices.

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    Biomass Tracking

    Monitor crop development using 5-year historical benchmarks.

Rust detection

See Arandu in Action

A quick product walkthrough of our WhatsApp-first farming intelligence demo.

Mission & Vision

Technology should not leave the small farmer behind.

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The Problem

Over 14 million smallholder farmers across Latin America lack access to precision agriculture. Existing solutions demand expensive hardware, GIS expertise, or dedicated apps — none of which match the reality of a farmer with a basic smartphone and a WhatsApp account.

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Our Solution

Arandu delivers satellite-powered agronomic intelligence directly through WhatsApp. Farmers register their fields by simply sharing a location pin; our AI automatically detects field boundaries and begins monitoring. From that moment, they receive actionable insights derived from ESA Copernicus satellite data — fusing optical and radar imagery to ensure reliable, cloud-free analysis even in tropical climates.

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Capabilities

Through a natural-language conversation, farmers can check crop health, monitor water stress, assess erosion and flood risk, and receive weather-based recommendations for spraying, irrigation, and frost protection. Photo uploads enable AI-driven disease identification on the spot. The platform supports seven languages, including Quechua, Guarani, Spanish, and Portuguese for multilingual agricultural teams across Latin America.

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Our Vision

Making European space infrastructure operationally accessible to users who have never heard of remote sensing. No installation, no training, no complexity — just a WhatsApp message away.

Swiss Precision.
Built for Latin America.

Arandu was born from a simple belief: Technology should not leave the small farmer behind.

100% Swiss Engineered
24/7 Field Monitoring
🗣️ Native Guarani Support

Headquartered in Zurich, built for the realities of Latin American agriculture. We bridge the gap between advanced agronomic precision tools and the everyday reality of the producer.

Arandu

/ah-rahn-DOO/

noun · Guaraní

The wisdom of the sky. Derived from ara (sky/time) and ndu (to perceive). In Guaraní culture, Arandu is the ability to listen to nature's rhythms to make sound, harmonious decisions.

Arandu AI bridges this ancient insight with modern satellite technology, bringing the \"vision of the sky\" directly to the palms of smallholders.

Pascal Wyler

Pascal Wyler

Founding Engineer

Pascal is an AI Engineer with a deep track record of delivering high-impact technology projects across the globe. He firmly believes that the transformative power of AI should reach those who need it most — not just those who can afford it.