Running a vertical farm or CEA facility on spreadsheets and disconnected sensors means your team is always reacting: to a temperature excursion discovered hours late, to a yield shortfall that appeared at harvest, to an energy bill that only makes sense in retrospect. The data exists across your sensors, HVAC controls, and grow logs. The problem is that nothing connects it into decisions. That is the gap custom vertical farming software closes.
Climate control automation that catches excursions in minutes, not hours, with alerting built around your crop's tolerance thresholds
Grow-cycle management software that tracks every batch from seed to harvest in one system, replacing disconnected grow logs
Energy optimization dashboards that show cost-per-kilogram by room and shift, so you cut the right spend without touching yield
Harvest and sales planning tools that give your buyers accurate volume and quality forecasts 14+ days out
Recognition
Climate excursions going unnoticed for hours because sensor data lives in one tool, alerts in another, and your grow team checks both manually?
Energy bills that account for 30-40% of operating costs but no dashboard that shows which grow room, which lighting schedule, or which HVAC event drove the spike?
Yield forecasts built in spreadsheets three days before harvest, leaving sales teams with no reliable forward visibility on volume or quality?
The short answer
RaftLabs builds custom vertical farming software for CEA operators, hydroponic facility managers, and urban farming businesses. Our vertical farming software development work covers climate control automation, grow-cycle management, yield analytics, energy optimization dashboards, and harvest planning tools. Most projects deliver in 12 to 20 weeks at a fixed, agreed cost.
Vertical farming software is purpose-built software that manages the operational, environmental, and commercial workflows of indoor growing facilities, including climate control automation, grow-cycle tracking, yield forecasting, energy monitoring, and harvest planning. Unlike general agriculture platforms, it is designed for the sensor-dense, high-input economics of controlled-environment agriculture where small deviations in temperature, humidity, CO2, or lighting cost measurable yield and revenue.
01 Diagnosis
Climate excursions go unnoticed until they show up in yield
Most vertical farms collect environmental data from dozens of sensors across temperature, humidity, CO2, VPD, and lighting. The data goes into a SCADA or data historian, and someone reviews it during shift changes. By the time a temperature excursion in grow room 4 appears in the morning report, the crop has been outside its optimal range for six hours. At the margins that vertical farming operates on, six hours of suboptimal VPD during a critical growth stage shows up directly in harvest weight and quality.The underlying problem is not the sensors. It is that sensor data, alerting rules, and grow team response workflows live in separate systems with no shared logic. Custom climate monitoring software connects sensor telemetry to crop-specific alert thresholds, routes notifications to the right person on shift via SMS and in-app alerts, and logs every excursion against the affected batch so the post-harvest analysis has the data it needs.
Energy spend is your largest cost but your least understood one
According to a 2025 analysis by Farmonaut, electricity for LED lighting and HVAC climate control accounts for 30 to 40% of total operating costs in a typical vertical farm, making it the single largest variable cost item. Most operators know their monthly bill. Few can tell you the cost-per-kilogram by grow room, by crop, or by lighting schedule because that data requires joining energy sub-metering with batch-level production records, something spreadsheets cannot do consistently at scale.Without that visibility, energy reduction efforts are guesswork. You can dim lights or adjust HVAC setpoints, but you do not know which intervention cut cost without reducing yield and which one just reduced both. An energy optimization dashboard built on your sub-metering data and grow records gives you that answer at the room and shift level, so every efficiency decision is grounded in actual cost-per-output data.
Yield forecasts are too late and too inaccurate to plan sales around
Vertical farm sales teams need accurate forward yield forecasts to commit to retail and foodservice buyers 10 to 21 days ahead of harvest. Most operations produce those forecasts from grow logs and historical averages, assembled in spreadsheets a few days before harvest. The error bands are wide, partly because the forecasting does not account for the actual environmental data from the current grow cycle, and partly because the manual process introduces transcription errors.When the forecast is wrong, the consequences run in both directions: over-committing to buyers leads to short deliveries and lost contracts, while under-committing leaves harvested product without a home. Custom yield forecasting software built on your actual grow data, incorporating real-time environmental readings and cultivar-specific growth models, produces forecasts 14 or more days ahead of harvest with error bands your sales team can plan around.
Grow records are scattered across whiteboards, spreadsheets, and grow team notes
Regulatory traceability requirements for food safety, growing increasingly common in markets where vertical farms sell into retail, require a documented chain from seed lot to harvest batch with environmental records attached. Most vertical farms meet that requirement with a patchwork of paper grow logs, spreadsheet batch records, and SCADA exports that someone assembles manually when an audit or customer traceability request arrives.That process is slow, error-prone, and does not scale as the number of grow rooms and concurrent batches increases. A unified grow-cycle management system creates a digital record for every batch from seeding through transplant to harvest, attaches the environmental data automatically from your sensor systems, and produces the traceability report in minutes rather than hours.
02 What we ship
We connect to your existing sensor hardware and SCADA or PLC infrastructure via OPC-UA, MQTT, and Modbus protocols, pulling real-time telemetry from temperature, humidity, CO2, VPD, and lighting sensors into a unified monitoring platform. Crop-specific alert thresholds trigger notifications via SMS, email, and in-app alerts routed to the right grow team member on shift.
Excursion logging attaches every out-of-range event to the affected batch record automatically, so post-harvest analysis has the data without manual cross-referencing. Dashboard views show room-level environmental conditions in real time, with historical trend overlays by growth stage so your grow team can spot drift before it becomes a deviation.
Built for vertical farms and CEA facilities that collect environmental data but cannot act on it fast enough because the data, alerts, and batch records live in separate systems.
A single digital record follows every batch from seed lot receipt through germination, propagation, transplant, grow, and harvest. Grow team inputs, nutrient programme adherence, substrate checks, and pest or disease observations go into the same system rather than across clipboards, spreadsheets, and shift handover notes.
Batch records carry the full traceability chain: seed lot number, transplant date, grow room and rack position, environmental history, input quantities, and harvest outcome. Food safety audit requests that previously required a day of record assembly take minutes. Regulatory reporting for FSMA-covered operations or retail supplier compliance programmes generates from the same data.
Built for vertical farms adding SKUs, grow rooms, or market channels where manual record-keeping is becoming the operational bottleneck.
Yield forecasting models trained on your historical batch data factor in cultivar, grow room, lighting schedule, nutrient programme, and current-cycle environmental readings to produce harvest weight and quality predictions 14 or more days ahead of cut date. Forecast confidence intervals narrow as the harvest date approaches and more grow-cycle data is available.
Performance analytics break down yield-per-rack, yield-per-watt, and cost-per-kilogram by grow room, crop, and time period, so your operations team can see which rooms and configurations produce the best margin contribution. Integrations with AWS IoT Core and Azure IoT Hub connect forecast models to live sensor streams for facilities already running cloud-connected infrastructure.
Built for vertical farm operations teams that need to give sales buyers reliable forward commitments and for operators building the data foundation to optimize across multiple facilities.
Sub-metering data from lighting circuits, HVAC systems, irrigation pumps, and nutrient dosing equipment joins batch production records to produce cost-per-kilogram at the room, crop, and shift level. Lighting schedule optimization analysis shows which photoperiod changes reduce energy draw without measurable yield impact, based on your own historical data rather than generic benchmarks.
Energy spend is reported by time-of-use tariff period so facilities on demand-response or time-of-use electricity contracts can shift flexible loads. Anomaly detection flags equipment consuming above its expected baseline, catching HVAC units running inefficiently or lighting fixtures degrading before they appear on the monthly bill.
Built for vertical farm operators where energy is the largest cost line and where current reporting only shows total spend, not the room-level and decision-level breakdown needed to cut it.
Harvest calendars aggregate projected cut dates, estimated volumes, and grade distributions across all active batches, giving your sales and operations teams a shared forward view of available product. Sales order allocation against forecast volume flags over-commitments before harvest, not after.
Customer-facing harvest availability reports in PDF or via API feed buyer procurement systems directly, reducing the back-and-forth between your sales team and buyers. Post-harvest waste tracking ties actual versus forecast variance back to the grow-cycle and environmental records, feeding the next forecasting cycle with ground-truth data.
Built for vertical farms selling into retail, foodservice, or wholesale channels where reliable forward commitments determine whether you keep or lose accounts.
We design and build the data infrastructure layer that connects sensor hardware, SCADA systems, ERP platforms, and cloud services into a coherent operational data store. Integrations cover AWS IoT Core, Azure IoT Hub, MQTT brokers, Modbus and OPC-UA industrial protocols, and REST APIs from existing farm management tools.
Data pipelines handle the ingestion, normalization, and storage of time-series sensor data at the volumes a multi-room vertical farm generates, with retention policies and tiered storage that keep query performance fast without unbounded storage costs. Grafana-based visualization layers or custom React dashboards sit on top of the data layer depending on your team's preferences and existing tooling.
Built for vertical farms that have accumulated sensor data across multiple systems and need a unified data layer before analytics, forecasting, or automation investments will pay off.
03 How we work
Companies we've built for
04 Track record
06 Client voices
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
USARaftLabs nailed what other agencies couldn't — they started with our business problem and worked backwards to the right product. We were live in 14 weeks.
07 Why us
The industry changes. The broken process usually looks the same. Across 14+ industries and 100+ products, we recognise your problem fast, and we frame the fix around your margin and your operations.
We measure success the way you do: hours saved, revenue earned, margin recovered. We stay through launch and growth, so the result is ours to own.
Vodafone, T-Mobile, Cisco, Energia, Aldi, Nike. Six years, 100+ products in production, 4.9 on Clutch. Serious businesses keep coming back because we stay accountable long after launch.
08 Questions
Yes. Most vertical farm builds we scope involve integrating with existing SCADA, PLC, or BMS infrastructure rather than replacing it. We connect to your existing control layer via OPC-UA, MQTT, or Modbus protocols, pull real-time telemetry into a unified data platform, and build the analytics, alerting, and planning tools on top. Your grow team keeps the control interface they know; you gain the data layer you need.
Yes. Yield forecasting for vertical farms is crop-specific and environment-specific, which is why generic agriculture software tools produce forecasts with wide error bands. We build forecasting models trained on your historical grow data, factoring in your cultivars, lighting schedules, nutrient programmes, and room-level climate variables. The output is a forecast your sales team can commit to, with confidence intervals that narrow as the harvest date approaches.
A focused build (a climate monitoring platform or a grow-cycle tracking system) typically takes 12 to 16 weeks. A full operations platform covering climate control integration, grow-cycle management, yield forecasting, energy dashboards, and harvest planning typically takes 18 to 28 weeks. Cost depends on the number of sensor integrations, grow rooms, and forecasting complexity. Fixed cost is agreed before development starts.
Yes. We build integrations with AWS IoT Core, Azure IoT Hub, and direct MQTT broker connections from sensor hardware including Modbus-based environmental sensors, CO2 monitors, and smart lighting controllers. If your hardware already sends data to a cloud endpoint, we connect to that stream. If it does not, we scope the IoT gateway layer as part of the project.
Off-the-shelf vertical farming platforms work well when your crop mix, facility layout, and operating model match the assumptions the platform was built around. Custom development becomes the right choice when your facility has non-standard grow-room configurations, when you sell into channels that require specific traceability reporting, when your energy tariff structure requires optimization logic the platform does not support, or when the platform's per-seat pricing becomes a constraint as you add grow rooms. We scope what needs to be custom versus what can use an off-the-shelf component during discovery.
Yes. Grow team workflows (batch record entry, environmental spot checks, pest and disease logging, transplant confirmations) are best captured on a mobile device at the point of work rather than typed up later at a desktop. We build iOS and Android apps, or React Native cross-platform apps, that work offline inside the facility and sync to the central system when connectivity is restored. Offline-first design is a requirement for in-facility mobile tools, not an optional extra.
Climate control and monitoring software
real-time sensor telemetry, crop-specific alert thresholds, SCADA integration
Grow-cycle management software
batch tracking, digital grow logs, food safety traceability, transplant records
Yield analytics and forecasting
harvest weight forecasting, cultivar-level models, sales planning integration
Energy optimization dashboards
cost-per-kilogram by room, sub-metering integration, demand-response reporting
Harvest and sales planning tools
harvest calendars, order allocation, buyer-facing availability reports
IoT integration for vertical farms
AWS IoT Core, Azure IoT Hub, MQTT, OPC-UA, Modbus sensor integration
AI for vertical farming
yield prediction models, anomaly detection, lighting optimization, demand forecasting
Hydroponic farm management software
nutrient management, pH and EC monitoring, irrigation scheduling, batch records
Tell us what you are building and we will scope it out together.