Plant, soil, and liquid intelligence in one operating system
Growth, measured.
Sensorco brings plant response, soil condition, and liquid behavior into one decision-making system. With Sunbul-Sensor, Mai-Sensor, and one shared platform, teams can see what is happening earlier, act with more confidence, and verify what actually improved.
- Sunbul-Sensor for solar-powered plant and soil visibility
- Mai-Sensor for GPS-enabled level, usage, flow, and asset tracking
- One platform for alerts, recommendations, verification, and outcome tracking
Unified field visibility
Sunbul-Sensor
Plant + soil response Wirelessly capture the variables that shape growth and stress.Mai-Sensor
Liquid use in view Spot leaks, waste, and abnormal patterns before they spread.Why this matters
You cannot optimize what you cannot see together.
Most teams still read plant conditions, irrigation behavior, and liquid availability in separate places, if they read them at all. Sensorco is built to replace that fragmentation with one operating picture that supports earlier decisions and cleaner follow-through.
Manual monitoring is late by default
Stress, imbalance, and abnormal liquid behavior are often discovered only after they already affect quality, yield, or resource use.
Schedules stay fixed while conditions shift
Irrigation plans rarely adjust with daily changes in plant response, soil condition, and liquid availability.
Data exists, but action still feels unclear
Teams may have readings, but not a dependable way to connect signals, decide what to change, and review whether the adjustment actually worked.
Products
Two sensing systems. One decision layer.
The deployment logic is simple: use Sunbul-Sensor when the question is what the crop and root zone are experiencing, use Mai-Sensor when the question is what the liquid system is doing, and combine both when the site needs one joined operating picture.
Sunbul-Sensor
Solar-powered plant and soil visibility
Sunbul-Sensor is the crop-side sensing layer for teams that need to understand what the plant and root zone are actually experiencing before making irrigation changes.
- Solar-powered, poke-and-use deployment for field-ready installation
- Plant and soil visibility across variables such as temperature, pH, and stress drivers
- Dashboards, alerts, recommendations, and outcome tracking in one workflow
Mai-Sensor
GPS-enabled liquid visibility and tracking
Mai-Sensor is the liquid-side sensing layer for sites that need better visibility into level, usage, flow, location, and abnormal liquid behavior across fixed or mobile assets.
- Built for reservoirs, tanks, tankers, transfer systems, and irrigation networks
- Supports water and broader liquid operations depending on the deployment
- Alerts, recommendations, verification, and operational trend review in one platform
Combined value
Precision irrigation optimization
When crop-side signals and liquid-side signals are read together, teams can move beyond isolated charts and understand what the site felt, what the system did, and what changed after intervention.
Platform
Hardware is the entry point. The operating value is in the platform.
Sensorco is not just a collection of devices. The platform is where measurements, alerts, historical trends, recommendations, and review loops come together so teams can manage pilots, compare changes, and scale what works.
Purpose-built hardware
Sunbul-Sensor and Mai-Sensor are designed to capture the operating signals that matter without forcing teams to stitch together multiple disconnected systems.
Dashboards and alerts
Monitor plant, soil, and liquid conditions in one place, surface anomalies early, and keep site status visible without relying on scattered checks.
Recommendations with context
Recommendations help answer what to adjust next, where to focus first, and why the change matters in operational terms rather than abstract analysis.
Outcome tracking
Teams can connect interventions with measurable improvement, making successful actions easier to validate, repeat, and expand.
Closed loop
Built to turn measurement into better action.
Sensorco is built around a practical loop: capture the right signals, surface drift before it becomes expensive, recommend what to adjust, and verify the result so the next operating decision is stronger than the last one.
Capture
Collect the site signals that matter, whether they are crop-side, liquid-side, or both.
Detect
Flag stress, abnormality, loss, or drift while there is still time to respond cleanly.
Recommend
Turn measurements into clearer operational adjustments, not just more data review.
Verify
Review what changed over time so successful interventions can become repeatable practice.
Where we start
Starting where earlier visibility has operational consequences.
Sensorco starts in environments where plant response, irrigation behavior, and liquid availability directly affect yield, labor, quality, loss prevention, or resource efficiency. That includes crop environments and broader liquid-critical operations.
Designed to scale with deployment
A pilot can begin with Sunbul-Sensor, Mai-Sensor, or both together, then scale into a wider site architecture once the operating value is clear.
Operating rhythm
Designed to make decision-making feel calmer, earlier, and clearer.
When crop conditions and liquid behavior are visible in the same workflow, teams can move before drift becomes stress, waste, or reactive troubleshooting. That is the kind of practical operating confidence Sensorco is built to support.
Catch change while it is still small enough to correct cleanly.
Surface drift across the site before it turns into visible plant stress, liquid loss, emergency troubleshooting, or inefficient field response.
Turn readings into decisions teams can actually make in the field.
Connect sensing to recommendations that feel operational, practical, and reviewable instead of abstract, fragmented, or overly analytical.
Track what improved so good interventions become repeatable playbooks.
Build confidence around what changed, what worked, and which operating patterns are worth repeating across future deployments, sites, or pilot expansions.
Founders
Built by an engineering-led team.
Sensorco is founded by Ahmed Albreiki and Faizal Shimas, combining chemical and electrical engineering backgrounds from Khalifa University.
Founding Team
Ahmed Albreiki
Chemical Engineer
Khalifa University
Founding Team
Faizal Shimas
Electrical Engineer
Khalifa UniversityNext step
Scope the first pilot around one site question and one clear success definition.
Review the product pages, choose whether the site needs Sunbul-Sensor, Mai-Sensor, or both together, and move into a pilot brief built around measurable operating results.