$500K ARR from Day 1

AI That Saves Farmers
30% on Water

40 years of irrigation expertise encoded into AI. Trained on 2M+ sensor readings from 14,000 acres. Now predicting crop stress before it happens.

View Pitch DeckAccess Data Room
Delaware C-Corp
QSBS Eligible
2M+ Sensor Readings
Live System Status
All Systems Operational
Acres Monitored
30,442
3 California regions
Water Saved
12.4%
vs industry avg
Yield Increase
8.2%
optimized nutrition
Experience
40+
Years of data
Real-Time Data
Soil Moisture
ET Rate
Next Irrigation
Updated 2m ago
🌳
$500K
Day 1 ARR
14K
Acres Managed
20
Years of Data
2M+
Sensor Readings
The Problem

California's $2B Water Crisis

  • ✗SGMA Deadline Feb 2026 — Non-compliance = fines, pumping restrictions
  • ✗Water costs up 300% — Growers spending $150-250K/year
  • ✗Schedule-based irrigation — 20-30% water waste is common
Our Solution

AI Trained on 40 Years of Field Data

  • ✓Proprietary ML models — Crop-specific predictions
  • ✓Real-time stress detection — Before you see it in the field
  • ✓15-30% water savings — Proven across 14,000 acres

Pricing Customized to Your Operation

Every farm is different. Schedule a consultation with Nick McGill to discuss your acreage, crops, and compliance needs.

Platform Includes
  • ✓ AI-powered irrigation recommendations
  • ✓ 3-7 day soil moisture predictions
  • ✓ SGMA compliance reports
  • ✓ Weather integration & alerts
  • ✓ Mobile & desktop dashboard
Enterprise Add-ons
  • ✓ Custom API integrations
  • ✓ White-label options
  • ✓ Dedicated account manager
  • ✓ SLA guarantees
  • ✓ Multi-ranch management
Hardware Options
  • ✓ Works with existing sensors
  • ✓ KIAT sensor kits available
  • ✓ IrriMAX integration
  • ✓ Sentek compatible
  • ✓ Starlink connectivity

Schedule a Demo with Nick McGill

40 years of irrigation consulting experience. Let's discuss how KIAT can help your operation save water, avoid penalties, and increase yields.

Request DemoCall Nick

Serving California's Central Valley • Almonds • Pistachios • Citrus • Grapes

The Technology

Production-deployed ML on Google Cloud

Predictive Models

Crop-specific models trained on 2M+ sensor readings. Real-time predictions. <100ms inference.

Cloud Run API

FastAPI on GCP Cloud Run. Auto-scaling, always-on. Weather forecast integration with Visual Crossing.

35 Features

Engineered from moisture, temperature, VPD, ETo, and time signals. Continuous learning from new data.

Raising $1M at $10M Valuation

Real revenue from Day 1. QSBS eligible. 70/30 founder split.
Building the data flywheel no competitor can replicate.

Get Pitch DeckAccess Data Room