Aerobotics

Precision agriculture intelligence platform for growers, packers, and agricultural insurers

Underwriting & Risk Growth Series B

Overview

Aerobotics is an agricultural data and analytics platform for fruit growers, packers, and agricultural insurers. The company provides aerial and ground imagery processed through computer vision and AI to generate per-tree insights on crop health, yield potential, fruit sizing, and pest and disease indicators. Its primary platform, Aeroview, serves over 1,000 farmers across 18 countries, with particular depth in perennial tree crops such as citrus, grapes, and avocados.

The platform ingests drone and satellite imagery on a weekly cadence, combining it with scout reports to produce zone-level and individual-tree performance data. Insurers access this data layer to assess agricultural risk with greater precision than traditional methods allow -- enabling more accurate premium setting, faster claims verification, and improved reinsurance pricing. From 2022 to 2025, Aerobotics operated Aerobotics Crop Insurance Services (ACIS), a crop insurance agency built directly on the Aeroview platform; that division was spun out in November 2025 as the independent entity Insure.ag, which continues to use Aerobotics' technology.

Founded in Cape Town in 2014 by James Paterson (CEO) and Benji Meltzer (CTO), Aerobotics has raised approximately USD 21-27M across Seed, Series A (USD 2.08M from Nedbank in 2019), and Series B rounds led by Naspers Foundry. In 2026, the company was selected as one of five participants in the John Deere Startup Collaborator Program, focused on data-driven agricultural insights, advanced sensing, and analytics.

Products & Services

Aeroview Platform

Cloud-based precision agriculture platform that combines weekly satellite imagery, drone data, and field scout reports into per-tree and zone-level performance dashboards. Used by growers, packers, agronomists, and insurers to track crop health, identify missing trees, flag anomalies, and build yield forecasts.

Key Features

Per-tree health scoring and anomaly detection
Zone-level performance mapping and benchmarking
Weekly satellite data ingestion with drone and scout data overlay
Dashboard access for growers, agronomists, and insurance analysts

Target Users: Fruit growers, packhouses, agricultural insurers, agronomists

TrueFruit Size

Fruit sizing and size forecasting tool that uses smartphone imagery captured in the orchard. The AI analyzes individual fruit diameter and estimates size distribution curves over time, allowing growers and packers to plan for pack sizes well ahead of harvest.

Key Features

Fruit diameter measurement from smartphone photos
Size curve forecasting across the growing season
Early harvest planning for packhouses and marketers

Target Users: Fruit growers, packhouses, export marketers

TrueFruit Grade

Automated size, color, and blemish assessment from photos captured in the orchard or packhouse. Replaces manual grading with computer vision analysis to provide objective, repeatable quality scores at scale.

Key Features

Automated blemish, color, and size classification
Orchard and packhouse deployment options
Consistent, objective grading output

Target Users: Packhouses, quality control teams

TrueFruit Bin Scan

Post-harvest size and quality classification for fruit bins. Provides rapid analysis after harvest for packhouse throughput and quality control reporting.

Key Features

Bin-level size and quality classification
Rapid post-harvest processing
Integration with packhouse reporting workflows

Target Users: Packhouses

Drone Scan

Aerial imagery capture and processing service for orchards. Coordinates with a network of third-party drone service providers to fly and deliver per-tree health data, tree counts, missing tree identification, and performance maps integrated into the Aeroview platform.

Key Features

Aerial tree count and canopy health mapping
Missing tree identification and geo-tagging
Integration into Aeroview for multi-source data fusion

Target Users: Fruit growers, agricultural insurers, agronomists

Pest & Disease Monitoring

AI-powered detection of pest and disease indicators from aerial and ground imagery, enabling earlier intervention and more targeted agrochemical application.

Key Features

Early detection from imagery before visible spread
Zone-level risk mapping for targeted treatment
Reduction in broad-spectrum agrochemical use

Target Users: Fruit growers, agronomists

At a Glance

Founded: 2014
Headquarters: Cape Town, South Africa
Employees: 51-200
Funding: Series B

Category & Focus

Category: Underwriting & Risk
Subcategories: Agricultural risk data crop yield analytics remote sensing AI/computer vision
Insurance Verticals: Specialty/E&S
Target Customers: Carriers, MGAs/MGUs, Reinsurers