Neural Audit Engine

The Machine That
Sees What You Can't.

Our architecture considers the full specimen history. Synthesizing photos, environmental logs, and feeding schedules — it eliminates generic advice and delivers confidence-scored clinical precision.

87.3% avg confidence
48h early detection
80+ conditions mapped
Predictive Accuracy

When We Say 847g, We Mean 847g.

Predictive vs Actual Yield — 13-week grow cycle
📈

Forecast Accuracy

98.9% accuracy by week 9 of a 13-week grow cycle. Variance under 12g.

🧮

Multimodal Inputs

Photo analysis, VPD readings, nutrition logs, and growth-stage weighting combined in a single inference call.

🔄

Live Updates

Every scan and environmental log updates the rolling forecast. Not a static estimate — a live model.

Architecture

The Neural Puzzle.

No single signal tells the whole story. CanopIQ assembles the complete picture from every available data stream before issuing a diagnosis.

📷 Plant Photo 🌡 VPD / Env Data 🧪 Feeding Log 📅 Scan History INGESTION Context synthesis & normalization GEMINI VISION PRO + DIAGNOSTICS_ONTOLOGY Thinking-budget protocol ✅ Condition + Severity 📊 Confidence Score % ⏱ 48h Action Window 📦 Product Match
Diagnostic Intelligence

80+ Conditions.
One Framework.

Our DIAGNOSTICS_ONTOLOGY is a clinical-grade knowledge graph mapping every observable cannabis stress condition to its biological root cause, confidence interval, and remediation pathway.

It's not a lookup table. It's a reasoning scaffold — giving Gemini Vision a structured domain to reason within, rather than hallucinating from general knowledge.

Try a Free Scan
{%CONDITION_BADGES%}
Tech Stack

Built on Production-Grade Infrastructure.

AI Layer

Google Gemini Vision

Thinking-budget protocol for high-confidence multimodal inference.

Frontend

React 19 + TypeScript

Mobile-first PWA. Deployed on Vercel edge network globally.

Backend

Supabase

Postgres at scale. Row-level security. Real-time subscriptions.

Supply

Google Maps API

Real-time inventory geolocation across 10,000+ supplier SKUs.