AI-powered operations intelligence for greenhouse and irrigation teams
Diagnose crop issues faster, review weather-aware irrigation recommendations, ask evidence-backed questions, and keep a clear action history across your operation.
Today's AI Summary
RadicleIQ · ops intelligence
Active Alerts
3 zones need review
Irrigation Recommendation
Reduce Zone B by 12%
Confidence Level
High · 0.87
Recommended Next Action
Confirm reduction · 2h
Product Preview
See the operations workspace in action
RadicleIQ brings daily summaries, alerts, diagnostics, irrigation recommendations, evidence, and action logs into one clear workspace.
Today's AI Summary
3 zones need review · 1 irrigation suggestion pending confirmation · weather stable for 24h.
Site Health
- Zone A · TomatoHealthy
- Zone B · CucumberReview
- Zone C · PepperHealthy
Active Alerts
- High humidity · Zone BMedium
- Soil moisture drop · Zone DLow
Irrigation Recommendation
Reduce Zone B by 12% · forecast rainfall + elevated soil moisture.
Recent Diagnostics
- Leaf spot · likely early blight0.82
- Edge yellowing · nutrient check0.74
Action Log
- Accepted irrigation cut · Zone AOperator
- Escalated diagnostic · Zone BManager
The Problem
Greenhouse and irrigation teams are drowning in disconnected signals
Operational visibility breaks down when context is split across systems, notebooks, and people.
Sensor data is fragmented
Climate, irrigation, crop, and weather data often live in separate systems.
Crop issues are documented too late
Photos, notes, and observations are often captured after the issue has already spread.
Irrigation decisions depend on scattered context
Soil, weather, crop stage, and historical patterns are rarely reviewed together.
Recommendations are hard to trust without evidence
Teams need to see the data, sources, confidence, and assumptions behind every suggestion.
The Platform
One workspace for advisory, diagnostics, irrigation, and action history
RadicleIQ brings together greenhouse data, irrigation context, crop images, weather, operating records, trusted agronomic documents, AI recommendations, evidence, and action logs.
How it works
From signal to action
Capture signal
Add context
Analyze with AI
Review evidence
Confirm action
Log outcome
Workspace Gallery
Designed around the workflows that matter
Dashboard
Daily summary, alerts, weather, and recommended actions.
Site & Zone View
Track greenhouse zones, irrigation blocks, crops, and recent trends.
Image Diagnostics
Upload crop images and receive evidence-backed triage.
Irrigation Workspace
Review weather-aware irrigation suggestions with assumptions and confidence.
AI Copilot
Ask questions over SOPs, manuals, records, and prior cases.
- Accepted · Zone A
- Escalated · Zone B
- Modified · Zone C
Action Log
Track accepted, modified, rejected, and escalated recommendations.
Product Demo
Watch a quick platform walkthrough
A short overview of how greenhouse and irrigation teams can move from scattered signals to evidence-backed decisions.
Use Cases
Built around real operational workflows
Greenhouse Advisory
Understand what needs attention today across zones, crops, climate, and recent activity.
Irrigation Support
Review weather-aware irrigation suggestions with assumptions, missing data, and human confirmation.
Image-Based Crop Triage
Upload a photo, add context, and receive probable causes, confidence, evidence, and next steps.
Evidence-Backed Copilot
Ask questions over SOPs, manuals, records, and prior cases without relying on generic AI answers.
Action Logging
Track recommendations, decisions, changes, and outcomes in a searchable operational history.
Trust & Evidence
Designed for decision support, not uncontrolled automation
Every recommendation is structured, traceable, and reviewed by people before it becomes an action.
Structured Recommendation
- Recommendation
- Reduce irrigation in Zone B by 12% for next 24h
- Rationale
- Forecast rainfall + elevated soil moisture from 4 sensors
- Data used
- Soil moisture, climate, 48h forecast, crop stage
- Confidence
- High · 0.87
- Risk tier
- Low
- Next action
- Operator confirms within 2h
Evidence drawer
Evidence sources
- SOP-IRR-04
- Sensor logs
- Weather API
- Crop records
Missing data: soil moisture trend unavailable
RadicleIQ does not directly control greenhouse or irrigation equipment in the MVP. Recommendations are reviewed, confirmed, modified, or escalated by people.
Who It Is For
Designed for operators, managers, growers, and agronomists
Greenhouse Operators
Get clear alerts, simple next steps, and fast issue capture.
Greenhouse Managers / Owners
See operational status, unresolved risks, trends, and team actions.
Irrigation-Intensive Growers
Review water-use recommendations with weather context and confidence.
Agronomists and Consultants
Inspect evidence, compare cases, annotate recommendations, and support clients.
Agricultural Innovation Partners
Collaborate on safer, evidence-backed AI workflows for agriculture.
Pilot Program
Now preparing focused pilot collaborations
We are preparing a focused pilot for greenhouse and irrigation operations, starting with Canada-first use cases. We are looking for operators, growers, consultants, and partners who want safer, evidence-backed AI decision support for real agricultural workflows.
Ideal pilot partners
- Greenhouse operations
- Irrigation-intensive growers
- Agronomists and consultants
- Controlled-environment agriculture teams
- Agricultural innovation organizations
Request Pilot Access
Share a few details and we'll be in touch about pilot collaboration.