The Autonomous Greenhouse Operating System
Proven today in our own 10×4 meter research greenhouse, and engineered to become a zero-effort system anyone can run — governed by deterministic hardware safety, with an optional AI advisor on top.
A real, working research greenhouse — not a pitch deck
Vertical growing racks, hydroponic channels, and potato cultivation barrels (50–100L), running day to day.
Leafy greens, dwarf and determinate tomatoes, peppers, eggplants, and potatoes — tracked as experiments, not just "did it grow."
Soil moisture, temperature and humidity, and tank-level sensors feeding relay-controlled valves and pumps.
Designed, wired, and operated by the same person farming it daily — every feature exists because it was needed, not imagined.
Three commitments behind everything we build
Proven in a real greenhouse
Every feature is first built and run in our own research facility before it's called finished — not designed on a slide.
Deterministic safety first
The AI proposes, the automation engine disposes. A separate rule engine enforces hard limits on hardware — regardless of what any AI model suggests.
A zero-action vision
The long-term goal: anyone, with no farming knowledge at all, running a greenhouse from a single phone screen.
From sensor to decision, in four steps
Sense
ESP32-based nodes read soil moisture, temperature, humidity, and water levels throughout the greenhouse.
Act, safely
A deterministic rule engine reacts immediately — irrigation, venting — within hardcoded safety limits, with manual override always available.
Learn & advise
The AI Brain — a separate, optional layer — learns each greenhouse's patterns over time and gives plain-language advice.
See & decide
The farmer sees everything from one app, and only has to act when they actually want to.
AI proposes,
the automation engine disposes
We never let an AI model control a water valve or pump directly. Even if a model is wrong, slow, or simply unavailable, a local, deterministic controller is the one actually acting on hardware.
- check_circle Hardcoded maximum run-time and safety caps on every actuator
- check_circle Manual override always takes priority over automation and AI alike
- check_circle The automation engine keeps the greenhouse running safely even with no network or AI connection
A platform, not just hardware
Install the kit, open the app. Monitoring and automation work out of the box — the AI advisor and deeper controls are there when you want them.
Live monitoring
Soil, climate, and water conditions, visible from the app in real time.
Automated irrigation & climate
Watering and basic climate control run on their own, within safe limits.
Instant alerts
A push notification when something genuinely needs your attention — nothing else.
AI advisor
Plain-language explanations of what's happening and why — optional, and never in direct control of hardware.
Farm management, built in
Crop and season tracking, harvest logging, and basic expense tracking — free, no AI required.
Built for a team, or just you
Simple staff and crew tracking for operations bigger than one person.
Every growing cycle is an experiment
We treat farming as an engineering and data problem, not a craft to guess at. Conditions, costs, and outcomes are tracked for every cycle — not just whether the plant grew.
Over time, the data from our own research greenhouse feeds directly back into the AI advisor's knowledge — so lessons learned here reach every future AASOM greenhouse.
Where this is headed
- check_circleResearch greenhouse built and instrumented
- check_circleSensors and automation engine online
- check_circleAI advisor ("the Brain") introduced
- check_circleMobile app for day-to-day monitoring
- radio_button_uncheckedNext: first external pilot customers
Built by its own first user
AASOM is built by an engineer who is also the actual farmer running the greenhouse day to day. Every sensor, automation rule, and app screen exists because it was needed firsthand — not designed in the abstract. That's the whole premise: prove it works on a real farm first, then make it something anyone can run.
Get early access, or just say hello
Whether you're a future customer, an investor, a potential partner, or just curious — tell us a bit about yourself and we'll get back to you.
Prefer email? Reach us directly at info@aasom.farm.
Frequently asked questions
What is AASOM, in one sentence? expand_more
AASOM is an autonomous greenhouse system — sensors and automation that handle irrigation and climate control on their own, with an optional AI advisor layered on top, built and proven in our own working research greenhouse.
Is this available to buy yet? expand_more
Not yet. AASOM is currently a working research system. We're building toward a packaged product and collecting early access interest now.
Do I need any farming experience to use it? expand_more
No. The long-term goal is a system anyone can run with zero farming knowledge — install it, open the app, and the automation handles the rest.
What happens if the AI makes a mistake, or there's no internet? expand_more
The AI only proposes; it never controls hardware directly. A separate deterministic automation engine enforces the real limits and keeps the greenhouse running safely, even without AI or a network connection.
What crops does it support? expand_more
Our research greenhouse currently grows leafy greens, dwarf and determinate tomatoes, peppers, eggplants, and potatoes in barrels, across vertical racks and hydroponic sections.
Is my data private? expand_more
Each customer's data is kept in their own isolated account; we do not share greenhouse data between customers.
How is this different from a regular smart-irrigation gadget? expand_more
Most smart-irrigation gadgets are single-purpose timers. AASOM combines a full sensor and automation stack with a learning AI advisor and a mobile app, aimed at running an entire greenhouse end to end, not just one valve.
How can I get involved as a customer, investor, or partner? expand_more
Use the contact form above and tell us which of those best describes you — we read every message ourselves.