CanopIQ fuses computer vision, environmental telemetry, and growth-stage AI to help commercial cultivators predict yield, detect risk early, steer crops to target outcomes, and automate compliance. Cannabis. Indoor food. Any high-value crop.
The same AI engine that automates cannabis compliance steers vertical farm yields and monitors specialty crop health. The platform is crop-aware. The data moat compounds across every market it enters.
Every cultivation event automatically builds your METRC documentation. Phase changes, harvests, waste logs, and transfers. Automated. No more dedicated compliance coordinator.
Lettuces, herbs, microgreens, strawberries, tomatoes. CanopIQ's camera-based monitoring and environmental telemetry gives indoor food producers the same intelligence layer that large cannabis facilities use.
Greenhouses, research facilities, specialty herbs, medicinal plants. Wherever consistent outcomes matter and data is scarce, CanopIQ builds the intelligence layer that human observation cannot sustain at scale.
CanopIQ closes the loop between data collection, AI synthesis, predictive output, and operational action. Your team works normally. The platform works continuously.
Scan an RFID tag on any plant or batch. Record opens instantly. No searching.
Speak naturally about what you observe. Whisper AI transcribes in real time with cannabis-domain accuracy.
Claude AI extracts structured data from your words. Stage, health flags, environmental readings, action taken. All parsed automatically.
METRC documentation pre-built from extracted data. Compliance builds while your team grows.
CanopIQ's patent-pending camera and algorithm system monitors your canopy continuously and compares growth trajectory against your target. Two operating modes. Both powered by the same prediction engine.
Set a target harvest date. The system tracks deviation from the required growth trajectory, alerts you when environmental or biological conditions are pulling the timeline off course, and recommends specific corrective actions to stay on schedule. Critical for licensed operators with regulatory reporting windows, retail commitments, or trim crew scheduling.
Set a yield target, potency range, or quality threshold. The model optimizes environmental recommendations toward that outcome, not just a calendar date. Identify which rooms, which genetics, and which input combinations have historically produced your best results and run those protocols every cycle.
CanopIQ connects directly to the METRC API. Every cultivation event your team logs becomes a pre-filled compliance task. Phase changes, harvests, waste logs, transfers. Done automatically. Not manually re-entered.
The average licensed facility spends $60,000 to $80,000 per year on compliance labor. CanopIQ replaces that with a $599 monthly subscription. The math is not subtle.
Credentials connect once. CanopIQ submits directly to state systems. No copy-paste, no CSV uploads, no manual re-entry of data that already exists in your grow records.
Every plant event triggers the correct METRC documentation automatically. Harvest weights, phase changes, and waste events are pre-filled and queued for one-click submission.
Before any data reaches METRC, CanopIQ runs a 35-point audit. Catch gaps, missing weights, and timing violations before they become state violations.
Every action is logged with timestamp, user, and context. Inspectors get a complete, verifiable chain of custody. Your license is protected.
CanopIQ does not just collect data. It builds the reporting stack that connects raw signals to business outcomes. Compliance officers, cultivators, and facility directors all get the view they need.
State-ready compliance summary including METRC submission history, pending tasks, audit trail, and gap analysis. Export-ready for inspectors or your legal team.
Room-by-room yield projection based on current growth trajectory, environmental conditions, and historical cycle data. Updated continuously as new scan data arrives.
VPD, temperature, humidity, CO2, and light trend analysis over configurable time windows. Correlate environmental deviations with yield outcomes from previous cycles.
Integrated pest management summary with sticky card counts, AI-detected pest pressure, treatment log, beneficial release records, and outbreak risk score per room.
Side-by-side performance comparison across multiple grow cycles. Identify which genetics, inputs, and protocols produced your best outcomes and replicate them exactly.
Complete seed-to-harvest record including plant health history, encounter log, final yield vs forecast, COA linkage, and METRC submission confirmation.
A yellow leaf means something different in Week 2 of veg than in Week 8 of flower. Most tools miss that. CanopIQ does not. The Neural Puzzle Engine combines six data streams into a single predictive model. This is the patent.
The moat is not the software. The moat is the proprietary dataset that compounds every cycle, across every facility, across every crop type. Accuracy improves continuously. Competitors cannot buy that.
Computer vision reads canopy health, stress signals, trichome development, and anomaly detection from camera feeds and manual scans.
Growth stage awareness prevents bad recommendations. The model knows what Week 6 of flower looks like vs. nutrient deficiency in Week 2.
VPD, temperature, humidity, CO2, and light data fused with visual inputs for root cause accuracy that visual-only tools cannot achieve.
Hardware assets, room configuration, strain-specific baselines, and historical outcomes from your specific facility, not generic benchmarks.
Strain and cultivar-aware modeling. What looks healthy for one genetic profile may indicate stress in another. The engine understands the difference.
Feed schedules, nutrient inputs, intervention history, and team actions all inform the prediction model and close the feedback loop.
Every competitor solves a slice of the problem. CanopIQ connects the whole stack.
| Platform | What It Does | Predict | Steer | Comply |
|---|---|---|---|---|
| CanopIQ | Predicts outcomes, steers crops, automates compliance | ✓ | ✓ | ✓ |
| Artemis | Collects data. Does not make decisions. | — | — | Partial |
| GrowFlow | Manages workflow. Does not optimize outcomes. | — | — | ✓ |
| Growlink | Controls environment. Does not maximize yield. | — | — | — |
| Manual Ops | Does not scale. | — | — | — |
The average cannabis compliance coordinator costs $60,000 to $80,000 per year. CanopIQ Professional runs $599 per month. That is before accounting for the yield improvements, loss reduction, and labor savings on the grow floor. The ROI conversation writes itself.
See Commercial PlansYour entire team is included. One flat monthly rate based on facility size. Cannabis and CEA operations both covered under the same plans.
All commercial plans include unlimited user seats. Facility license. Not per user, not per plant. Full plan comparison
Just like Cerner is not a hospital. We are a software company selling predictive intelligence infrastructure to commercial cultivation operations. No cannabis licensing. No Schedule I exposure. No 280E burden. Pure SaaS margins with a compounding data moat and a patent-pending engine.
The moat is not just software. It is the proprietary cultivation dataset that grows with every facility, every crop cycle, and every market we enter. Cannabis is the wedge. CEA is the scale.