Source.ag Tech Stack

AI-powered greenhouse management platform for data-driven cultivation

Software Development Amsterdam 51–200 employees Founded 2020 Privately Held

Source.ag builds AI-driven software for greenhouse operators, centered on a Python + Spark + Databricks data stack paired with React Native frontends and gRPC backends. The tech shape—heavy on Apache Spark, Delta Lake, and dbt for real-time crop modeling—reveals an engineering org optimizing around predictive analytics and autonomous irrigation. Active projects span pest/disease forecasting, nutrient modeling, and data platform evolution, while hiring accelerates across engineering and data roles across Netherlands, Mexico, and Canada.

Tech Stack 15 technologies

Core StackPython Apache Spark dbt Go gRPC Databricks Delta Lake PostgreSQL AWS React Native TypeScript JavaScript Figma SQL Skia

AdoptingDatabricks

What Source.ag Is Building

◆Challenges

Improving crop yield
Reducing resource usage
Pest and disease impact
Scalable infrastructure for product teams
Secure data access for enterprise customers
Data platform evolving with product needs
Expanding regional presence
Identifying new business opportunities
Improving daily office operations
Simplifying complex architectures

▲Active Projects

Building out cloud modules
Modeling pest and disease impact on harvest
Understanding nutrient mix in irrigation
Backend services and data-heavy systems
Evolving databricks platform
Office management
Company events
People operations
Existing platform reliability improvement
Simplifying service boundaries

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering

Data

Sales

Seniority

Senior

Intern

Mid

Staff

Company intelligence

Find more companies like Source.ag by tech stack, pain points and active projects

Get started free

About Source.ag

Source.ag develops software for covered greenhouse agriculture, helping growers optimize yield, reduce water and nutrient consumption, and forecast harvest outcomes. The platform consolidates operational data, simulates cultivation scenarios, predicts yields, and automates irrigation control. Built for mid-market and enterprise greenhouse operations, the product surfaces four core modules: a data workspace, harvest forecasting engine, cultivation simulator, and irrigation automation layer. The company operates from Amsterdam and is scaling regionally.

HeadquartersAmsterdam

Company Size51–200 employees

Founded2020

Hiring MarketsNetherlands, Mexico, Canada

Frequently Asked Questions

What tech stack does Source.ag use?

Python, Apache Spark, Databricks, Delta Lake, dbt, PostgreSQL, AWS, React Native, TypeScript, and gRPC. The stack emphasizes real-time data processing and ML-driven cultivation modeling.

What is Source.ag working on?

Active projects include pest and disease impact modeling, nutrient mix optimization for irrigation, cloud module development, Databricks platform evolution, backend services scaling, and service architecture simplification.