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Manual work
Repeated checks and actions consume time and become inconsistent as a grow expands.
About GEIA
Engineers and growers, building for real farms.
GEIA is an open, modular smart-farming platform designed to help growers automate, observe and improve real growing environments, without forcing every farm into the same system.
- Open architecture
- Modular adoption
- Edge-first
- Human-guided
GEIAMonitor
Automatisieren
Lernen
Automatisieren
Lernen
🌱GrowerSets goals
📡HardwareReads & acts
⌁DataShows change
⌘BuildersExtend it
Automation should create understanding, not another black box.
Across agriculture, growers face the same pattern: manual work that does not scale, unstable conditions, limited visibility between cycles, and automation systems that are rigid or difficult to adapt.
Timers and isolated controllers can trigger actions. They rarely explain what changed, why it changed, or how to improve the next cycle. GEIA was created to close that gap.
Unstable conditions
Water, climate and equipment interact; isolated controls miss the complete picture.
Missing context
Without event history, charts and images, it is difficult to compare one cycle with another.
A shared operating layer
GEIA connects monitoring, automation and learning while keeping the grower in control.
Different methods shaped one adaptable platform.
GEIA grew from practical work across systems with very different dynamics, risks and constraints.
Hydroponik
Reservoirs, irrigation, water chemistry and environmental control.
Aeroponics
Including high-pressure systems where timing and reliability matter.
Aquaponik
Living systems that require careful observation and safe operating limits.
Soil cultivation
Climate, irrigation, logging and gradual automation without replacing the farm.
Indoor-first, not indoor-only
GEIA focuses on controlled environments, where automation has the strongest immediate value, while supporting outdoor monitoring, seasonal comparison and remote experiments.
- Start with one useful zone
- Test before expanding
- Compare cycles
- Adapt to local conditions
From system to platform
No single configuration represents a real farm.
Different growers need different sensors, logic, infrastructure and levels of control. GEIA therefore evolved from one automation system into a modular platform.
Explore the platform architecture →- 1Begin with a problem
Monitor a tank, stabilize a room or automate a repeated task.
- 2Build one logical zone
Combine the sensors, rules and equipment that belong together.
- 3Expand without replacement
Add nodes, zones, integrations or edge infrastructure as needs change.
- 4Learn across cycles
Use shared history, events and images to refine the next strategy.
Ecosystem and collaboration
Useful infrastructure becomes stronger when more people can extend it.
GEIA connects growers using it in real environments, builders integrating hardware and software, and partners contributing services, tools and expertise.
- 🌱GrowersUse, test and improve
- 🧩BuildersExtend hardware and integrations
- 🤝PartnerAdd services and expertise
Founder-led · Ecosystem-built
Who is behind GEIA
Founded close to the problem.
GEIA was founded and architected by Junell Abdi, drawing on decades of experience in IT systems, embedded development, infrastructure and hands-on farming automation.
The platform has since been shaped with engineers, designers, farmers, researchers and early testers across multiple countries. It evolved through real deployments and practical constraints - not in isolation.
Junell AbdiFounder & Lead Architect
Looking forward
Built to support many real farms, not one perfect farm.
GEIA is an open foundation for long-term learning, automation and collaboration across different farming contexts.
