Capture the grower context.
Free-form observations become structured tasks, follow-ups, and searchable crop history without forcing staff into rigid forms.
Applied AI for plant operations
Make every greenhouse shift easier to run.
NextWave Garden turns crop notes, sensor readings, SOPs, and supplier instructions into practical daily guidance for controlled-environment teams.
Daily growing rhythm
From loose observations to clear next actions.
Large language models are applied inside the operation, not treated as a research project. The system reads facility-approved knowledge and turns notes, anomalies, and shift handoffs into practical work.
Answer from approved procedures.
Operators can ask equipment and process questions against facility-specific SOPs, manuals, and training references.
Keep shifts aligned.
Sensor changes, unresolved tasks, and crop-risk notes are summarized into concise handoffs for the next team.
Operational AI layer
Designed for greenhouse, vertical-farm, and plant research teams.
NextWave Garden connects the work that usually sits in dashboards, notebooks, and procedure binders. Teams get explanations they can act on, with references to the data and documents behind them.
- Plain-language anomaly narratives for sensor changes.
- Harvest, staffing, and input-planning briefs.
- Facility-specific training support for new operators.
Programs
Built around the teams that keep crops moving.
Grow teams
Daily action lists, crop observations, and shift summaries.
Research facilities
Protocol-aware notes for plant-growth trials and controlled experiments.
Operations leads
Forecast briefs for staffing, inputs, harvest timing, and training.