AgTech & AI

Harvestry

harvestry.io

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.

Microservices

Regulatory Integrations

Database Engines

Harvestry cultivation dashboard showing environmental trends, zone heatmap, irrigation controls, active alerts, and room-level sensor readings for Sugar Creek facility

Platform Overview

A unified cultivation operating system spanning environmental control, batch planning, irrigation, and AI-assisted operations.

Cultivation dashboard with environmental trends, zone heatmap, irrigation controls, active alerts, and per-room sensor readings

Cultivation dashboard — environmental trends, zone heatmap, and active alerts

Batch planning Gantt chart showing six concurrent batches across clone, veg, flower, and cure stages from February through September 2026

Batch planner — Gantt timeline across clone, veg, flower, and cure stages

Irrigation control panel showing zone control for four rooms, six nutrient delivery tanks with fill levels, EC, pH, and temperature readings, and active recipe assignments

Irrigation — zone control, nutrient tanks, and recipe-driven fertigation

Harvey: AI Cultivation Copilot

Harvey lives inside the dashboard and understands your facility. Ask it to adjust crop steering parameters, schedule a production run, forecast labor needs, or reassign tasks across your team.

Built on domain-specific context — not generic chat. Harvey knows your rooms, your recipes, your schedules, and your sensor history. It acts on real data, not guesses.

Harvey AI copilot interface showing crop steering, production planning, and labor scheduling quick actions with a conversational input field

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.

Tell us what you're working on. We'll respond within 24 hours with honest feedback on whether we're the right fit.

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