For Greenhouse Operators / COOs
Run a tighter operation without adding headcount.
Sera unifies your fragmented data streams into one always-current picture, automates routine monitoring and responses, and scales consistent execution across sites—so you oversee strategy instead of chasing daily fires.
The challenge
As the operator or COO, you own uptime, cost control, compliance, and performance across one or multiple sites with high complexity and narrow margins. The daily reality includes:
Fragmented data from climate computers, sensors, irrigation logs, energy meters, scouting sheets, and spreadsheets—making it hard to see true performance, spot inefficiencies, or allocate resources accurately.
Reactive firefighting: Energy spikes, equipment lags, pest thresholds, or irrigation drifts pull you into troubleshooting instead of planning budgets, expansions, or optimizations.
Inconsistent execution: Shifts, sites, or junior teams interpret protocols differently—leading to variable yields, wasted inputs, or compliance risks.
Scaling pains: Adding hectares or facilities multiplies silos, manual coordination, and oversight load without proportional headcount growth.
Cost visibility gaps: Labor, energy, water, and fertigation often exceed 50% of OpEx, but tracking root causes (e.g., boiler cycling, uneven distribution) or benchmarking across crops/sites is manual and error-prone.
Compliance and reporting burden: Environmental regs, energy audits, or investor updates demand accurate records and explanations—without a single source of truth.
Disconnected tools and tribal knowledge create blind spots, hidden waste, and limits on predictable scaling.
How Sera helps
Sera acts as the central intelligence layer above your entire technical stack—ingesting, unifying, and reasoning over every data point in real time. It turns overload into automated insights, protocol-driven actions, and queryable truth—tailored to your SOPs, site quirks, and business goals.
Unified visibility across sites
Single source of truth: All climate, irrigation, energy, pest, and manual logs flow into one secure warehouse—no silos or version conflicts.
Real-time status at scale: Ask "Show energy use vs. yield this month across all tomato blocks" or "Compare dry-back trends Site A vs. Site B."
Site-specific context: Factors in your unique rules (e.g., "Suppress RH alerts in Block 3 during misting," "Vent 4 max 80% opening").
Automated monitoring and orchestration
Daily/weekly briefs delivered automatically: "24-hour overview: 2 deviations—VPD spike in Zone 4 from vent lag (energy impact est. +4%); pest pressure stable per IPM thresholds."
Intelligent alerts, filtered and routed: High-priority only (e.g., "Transpiration stall detected—correlated to irrigation delay + solar radiation; notify ops lead").
Close-the-loop workflows: Threshold hit → auto-push SOP checklist to floor team + create follow-up task + log for audit (e.g., energy price spike → apply low-energy protocol + approval step).
Root-cause automation: Every anomaly explained with correlations (e.g., "Heating lag from boiler cycling under load-shed rule—recommend offset adjustment").
Knowledge base for operational consistency
Digitize SOPs, budgets, and best practices once: Sera enforces them in every recommendation and alert.
On-demand access: "What's our energy protocol during peak pricing?" or "Calculate fertigation adjustment for current EC trends per crop strategy."
Scale rigor: New sites or staff inherit your exact logic—no drift in execution.
Data-driven cost and performance control
Benchmarking: Track metrics like energy-per-kg yield, water efficiency, or cycle deviations historically and across facilities.
Proactive optimization: Surface patterns (e.g., "Sector B consistently 15% higher dry-back—likely shading unevenness; projected savings if adjusted").
Audit-ready records: Versioned history for compliance, insurance, or investor reporting.
The results
Cut oversight time dramatically: Reclaim hours from manual reviews, data wrangling, and escalations—shift focus to strategic decisions, expansions, and cost modeling.
Drive tighter margins: Catch inefficiencies early (energy waste, input overuse), enforce protocols consistently, and reduce yield variability—leading to more predictable OpEx and output.
Scale confidently: Add sites or complexity without proportional staff or risk—automation and knowledge scaling handle the load.
Minimize risk: Faster anomaly resolution, fewer compliance gaps, and institutional memory reduce downtime, quality issues, and regulatory exposure.
Build resilience: Less dependence on individuals; operations run protocol-driven 24/7, with full visibility for leadership.
You move from managing chaos to orchestrating outcomes—at enterprise scale.
