Digital Cultivation

The operating system for commercial indoor farming.

A purpose-built platform that plans, executes, and automates indoor farming operations — combining crop-level intelligence, long-range production planning, real-time execution, and AI-driven optimization.

Purpose-built for CEA Crop & plant-level intelligence Single farm to multi-site ERP-agnostic integration

The Problem

Most indoor farms don't fail on yield — they fail on operations.

Indoor farms generate massive amounts of data, yet many operations still rely on spreadsheets, disconnected tools, and manual scheduling.

Inconsistent SOP execution

Tasks slip, steps get skipped, and quality varies shift-to-shift.

Labor inefficiency

Manual scheduling wastes hours and leaves operators guessing what to do next.

Unreliable harvest planning

Production misses targets because schedules aren't connected to real constraints.

No visibility into unit economics

Without integrated data, true cost-per-pound remains a black box.

Digital Cultivation solves this at the system level.

The Platform

The full lifecycle of indoor farming operations

Digital Cultivation manages production planning, crop scheduling, SOPs & tasks, labor coordination, inventory, performance analytics, and automation orchestration. It's not monitoring software — it's the system of action where crop plans become automated execution.

Platform architecture — Planning, Scheduling, Execution, Monitoring, Optimization lifecycle
Production Planning Crop Scheduling SOPs & Tasks Labor Coordination Inventory Analytics Automation
Core Module

Production planning & crop scheduling that actually works

Crop scheduling is one of the hardest problems in commercial indoor farming: maximize plants and throughput while balancing real operational constraints.

Digital Cultivation plans 6+ months ahead while accounting for:

  • Mixed crop varieties with unique recipes
  • Daily planting/harvest capacity limits
  • Operating days and shift configurations
  • Nursery/rack capacity and facility constraints
  • Holidays, downtime, and excluded dates

As conditions change, plans update without breaking downstream operations.

Crop scheduling interface — calendar view with crop varieties and growth stages

Output-driven scheduling

Plan production around what needs to be delivered — not guesswork. Set recurring targets (1,000 heads every Friday) or ad hoc runs (deliver by a specific date). Digital Cultivation back-calculates planting schedules, aligns crop recipes and growth stages, and accounts for labor, space, and automation capacity.

Crop Intelligence

Crop recipes & growth programs

Define and manage crop recipes that standardize how each crop is grown — then execute those recipes automatically through AGEYE controls and automation.

  • Nursery + main grow durations
  • Light schedules with stage-based changes
  • Pump & irrigation schedules
  • Fertigation and nutrient dosing control
  • Environmental targets by growth stage

Reuse proven programs across cycles and facilities — reducing variability and improving consistency at scale.

Crop recipe builder — growth stages, light and nutrient parameters
Execution Engine

Planning, execution, and automation — working as one system

Digital Cultivation doesn't stop at planning — it orchestrates execution. Based on the production plan and real-time conditions, it automatically generates daily workflows for:

Seeding / Planting Transplanting Harvesting Cleaning / Sanitation Equipment Operation

Tasks are created automatically, assigned by role/team, timed to operating hours, and adjusted dynamically.

Task orchestration view — daily workflows and assigned tasks with status indicators
Operations

Inventory management built into the plan

Full inventory management for seeds, grow media, nutrients, additives, spare parts, and wear items — all connected to the production schedule.

  • Forecasts demand weeks-to-months ahead
  • Flags low-stock risks before they impact operations
  • Aligns replenishment with production schedule
  • Links input usage directly to cost-per-pound analysis
Inventory management — stock levels, forecasting charts, reorder indicators
AI Agent

CultivAid — AI for real operations

AGEYE's AI agent embedded inside Digital Cultivation. It helps teams detect anomalies earlier, understand root causes, and continuously improve outcomes using your farm's actual data.

CultivAid AI interface — natural language query with data visualization response

Ask your farm anything

"Why did yield drop in Zone 3 last cycle?"
"Which variables correlate with stress events?"
"What changed between Cycle 214 and 215?"
Anomaly detection Root cause analysis Growth rate tracking Nutrient optimization Yield prediction Environmental alerts

Architecture

Closed-loop execution

Plans drive tasks. Tasks trigger automation. Sensors validate conditions. Outcomes feed back into future plans.

Closed-loop execution — Plan, Schedule, Execute, Monitor, Optimize cycle
01

Plans drive tasks

Production schedules automatically generate daily work orders.

02

Tasks trigger automation

Workflow execution activates irrigation, lighting, and climate systems.

03

Sensors validate

Real-time sensor data confirms conditions match targets.

04

Outcomes feed back

Results improve future plans, recipes, and scheduling accuracy.

Technology Platform

Scalable, modular, built for data

Our platform is built on a services-first architecture designed to handle the massive real-time data generated by every farm.

It combines edge processing for AI-driven decisions onsite with a cloud-native backend using event-driven design and modular microservices — built to scale across thousands of deployments.

Modular Microservices

Each capability runs as an independent service — deploy, scale, and update without downtime.

Edge + Cloud

AI inference runs at the edge for real-time decisions. Cloud handles orchestration, analytics, and fleet management.

Event-Driven

Real-time event streaming ensures every sensor reading, task update, and anomaly triggers immediate response.

API-First

Metered APIs enable integrations with third-party platforms, labs, analytics tools, and ERP systems.

Edge Layer
AI Inference Sensor Processing Control Logic
Cloud Platform
Orchestration Microservices Event Bus
API Layer
BI / Analytics ERP Integration 3rd Party

AI at the edge, orchestrated in the cloud — built to scale across thousands of farms.

Built For

Designed for every role in the operation

Operators & Head Growers
  • Consistent SOP execution across shifts
  • Fewer surprises, fewer missed steps
  • Faster issue detection and response
GMs & Owners
  • Real unit economics and cost-per-pound visibility
  • Better labor efficiency and utilization
  • Scalable, repeatable operations
Multi-Site Teams
  • Standardization across facilities
  • Cross-site performance comparisons
  • Systematic, data-driven improvements

Deployment

Cloud-native. API-first. Scale-ready.

Digital Cultivation is a cloud-based SaaS platform accessible from any laptop or tablet — deployable either as part of a HYVE turnkey system or as a standalone platform for existing farms.

Through secure APIs, it pulls data from existing sensors, equipment, and control systems — including third-party infrastructure — and pushes data to BI/analytics, accounting, or ERP platforms.

As operations scale, Digital Cultivation expands seamlessly to support additional facilities, crops, automation, and integrations without disruption.

Deploy with HYVE

Pre-integrated with AGEYE turnkey systems — sensors, controls, and automation connected out of the box.

Standalone SaaS

Run on any existing farm with third-party sensors and equipment via API integrations.

ERP Integration

Connects to your finance, HR, and analytics tools — no forced re-platforming.

See how Digital Cultivation runs a real indoor farm.

Book a live demo and see how production planning, task orchestration, and AI-driven optimization work together — on real farm data.