Every Batch, Better Than the Last
Growgoyle is AI-powered batch intelligence for commercial cultivators. Think of it as a master grower with 20 years of experience — one that never sleeps, never forgets, and watches over every plant in your facility.
The Problem
Wholesale prices keep compressing. The only thing you control is your yields and your cost per pound — and every dollar off it is survival margin. But most cultivation teams are flying blind:
- Repeating the same mistakes batch after batch
- No way to compare what actually worked across strains and seasons
- Problems caught too late, after they’ve already cost yield
- Experienced growers’ knowledge trapped in their heads
How Growgoyle Helps
🔍 AI Batch Observation
Continuous AI analysis of your active batches. Growgoyle watches your grow data and catches issues before they become expensive problems.
📊 AI Batch Comparison
Side-by-side comparison across batches, strains, rooms, and seasons. Find out what’s actually driving your best results.
🛡️ Sentinel Alerts
24/7 automated monitoring that watches your grow and alerts you when something needs attention. Like having eyes on your facility around the clock.
📸 Photo AI
Upload a photo of any plant and get an AI-powered health assessment in seconds. Spot nutrient deficiencies, pest damage, and environmental stress early.
What Growgoyle Is NOT
Growgoyle is not equipment automation, compliance software, a sensor dashboard, or a basic grow diary. It’s the intelligence layer that sits on top of everything else — turning your cultivation data into actionable insights that improve every batch.
Simple Pricing
Core — $499/mo
Up to 4 flower zones. Everything you need to start improving batch consistency and catching problems early.
Pro — $999/mo
Up to 10 flower zones. Full AI capabilities for larger operations that need deeper analysis and comparison.
Start Free — No Credit Card Required
Try Growgoyle free for 7 days with full Pro access. Works on your phone, tablet, PC, or shop floor TV. Import sensor data from any system via CSV.