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AgTech & AI

Harvestry

An enterprise-grade Cultivation OS that unifies ERP, regulatory compliance, and prescriptive environmental control into a single platform -- replacing a patchwork of disconnected tools with real-time telemetry, closed-loop crop steering, and AI-driven yield prediction.

21
Microservices
6
Regulatory Integrations
3
Database Engines
app.harvestry.com/dashboard
Harvestry dashboard showing real-time environmental telemetry with temperature, humidity, CO2 readings, zone heatmap, and irrigation windows

Platform Overview

A unified cultivation operating system spanning environmental control, compliance, and analytics.

app.harvestry.com/dashboard
Harvestry grow room dashboard with real-time environmental telemetry
Grow room dashboard with real-time environmental telemetry
Zone heatmap with irrigation scheduling
Compliance tracking across METRC and BioTrack

The Challenge

Large-scale cultivation operators were running on a patchwork of spreadsheets, standalone sensors, and manual compliance workflows. Critical data lived in silos -- environment readings in one tool, inventory in another, compliance submissions done by hand.

  • Manual cultivation tracking across dozens of grow rooms with no unified view
  • Disconnected tools for environment, inventory, and processing with no data handoff
  • Compliance reporting to METRC and BioTrack required hours of error-prone manual entry
  • No closed-loop control -- operators reacted to problems instead of preventing them

Our Approach

We built Harvestry as a single platform that owns the full cultivation lifecycle -- from seed to sale to regulatory submission. Every microservice was designed around a bounded domain with clearly defined event contracts.

  • Unified platform with 21 microservices covering identity, spatial, inventory, processing, sensors, irrigation, environment, interlocks, and analytics
  • Real-time IoT telemetry from edge controllers with safety interlocks that act in milliseconds, not minutes
  • Closed-loop crop steering that adjusts irrigation, fertigation, and HVAC based on live sensor data and AI yield models
  • Automated compliance with direct METRC and BioTrack API integration -- eliminating manual data entry entirely

Technology

A production architecture built for real-time control, regulatory auditability, and scale. PostgreSQL handles transactional data with row-level security, TimescaleDB stores high-frequency sensor telemetry, and ClickHouse powers analytical queries across billions of data points. Full observability via Prometheus, Grafana, Loki, Tempo, and Sentry.

.NET Core Next.js TypeScript PostgreSQL TimescaleDB ClickHouse Docker Kubernetes Terraform Prometheus Grafana METRC API BioTrack API QuickBooks API

Let's build something worth launching.

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