AI Platform

Intelligence that
grows with you.

Machine learning built for cultivation. Our AI processes millions of data points to predict problems, optimize yields, and make decisions faster than any human could.

See AI in Action API Documentation
2.4B+
Data Points Processed Daily
50K+
Training Events
99.2%
Prediction Accuracy
500+
Facilities Learning

Six AI Engines. One Platform.

Purpose-built machine learning models that work together to optimize every aspect of cultivation.

Predictive Climate Engine

See problems before they happen

Our ML models analyze temperature, humidity, VPD, and CO2 patterns to predict environmental drift 30-60 minutes before it occurs. The system auto-adjusts HVAC and dehumidification to prevent issues—not react to them.

30-min prediction window99.2% accuracyZero manual intervention

Pathogen Risk AI

Never lose a harvest to PM again

Trained on 50,000+ environmental failure events across hundreds of facilities. The model recognizes the exact conditions that breed powdery mildew, botrytis, and bud rot—and triggers preventive action before spores activate.

50K+ training events94% detection rate$180K avg. prevented loss

Yield Prediction Model

Know your harvest at week 4

Computer vision + environmental data fusion. The AI analyzes canopy density, leaf color, stem thickness, and historical grow data to forecast final yield with 95% accuracy by week 4 of flower.

95% accuracy at week 4±3% varianceStrain-specific calibration

Energy Optimization AI

Cut costs without cutting corners

Reinforcement learning model that discovers the most efficient HVAC, lighting, and dehumidification schedules for your specific facility. It learns your equipment's quirks and optimizes around them.

30-40% energy reduction6-month learning curveFacility-specific tuning

Computer Vision Monitoring

Eyes on every plant, 24/7

Camera-based plant health analysis detects nutrient deficiencies, pest damage, and growth anomalies before they're visible to the human eye. Alerts with photos and recommended actions.

Sub-millimeter detection12 deficiency typesReal-time alerts

Crop Steering Intelligence

Generative or vegetative—on command

AI-driven irrigation that reads substrate moisture, EC, and plant transpiration in real-time. The model determines optimal dry-back cycles and feeding schedules to steer growth phase precisely.

Real-time substrate analysis25% yield increaseAutomated phase transitions

How IOGRU AI Works

Layer 1

Data Ingestion

500+ data points per zone, per minute

Temperature, humidity, VPD, CO2, light intensity, substrate moisture, EC, pH, leaf temperature, stem diameter, canopy imaging

Layer 2

ML Pipeline

Real-time inference + continuous learning

Edge computing for sub-second decisions, cloud training for model improvement, federated learning across facilities

Layer 3

Model Types

Purpose-built models for cultivation

LSTM for time-series prediction, CNN for computer vision, Reinforcement learning for optimization, Anomaly detection for alerts

Layer 4

Action Engine

Autonomous control with human oversight

Direct equipment control via BACnet/Modbus, configurable autonomy levels, full audit trail, manual override always available

Not Generic AI. Cannabis AI.

Trained on Cannabis

Not generic agriculture AI. Our models are trained specifically on cannabis cultivation data from 500+ facilities. They understand VPD targets, light cycles, and strain-specific requirements.

Explainable Decisions

Every AI recommendation comes with reasoning. See exactly why the system made a decision, what data it analyzed, and what outcomes it expects.

Human-in-the-Loop

AI suggests, you decide. Configure autonomy levels from 'advisory only' to 'full autonomous control' for each system. Change anytime.

Continuous Improvement

Models improve weekly based on outcomes across all facilities. Your system gets smarter over time—without requiring updates or intervention.

AI That Connects to Everything

IOGRU AI integrates with your existing equipment via BACnet, Modbus, 0-10V, and REST APIs. The intelligence layer works on top of any hardware—no rip-and-replace required.

  • Direct control of HVAC, dehumidifiers, and CO2 systems
  • LED dimming and spectrum control integration
  • Irrigation and fertigation system automation
  • Camera and sensor data fusion
View all integrations
// Example: AI Decision Log
{
  "timestamp": "2024-12-16T14:32:00Z",
  "zone": "Flower Room 3",
  "prediction": "humidity_spike",
  "confidence": 0.94,
  "time_to_event": "28 minutes",
  "action_taken": "dehu_boost_15%",
  "reasoning": [
    "lights_off in 45 min",
    "leaf_temp dropping 0.3°C/hr",
    "historical_pattern_match: 94%"
  ],
  "outcome": "prevented"
}

Ready to let AI run your facility?

See how IOGRU's AI can predict problems, cut costs, and optimize yields for your specific operation.

Book AI Demo