Plant, soil, and liquid intelligence in one operating system

Growth, measured.

Sensorco combines Sunbul-Sensor, Mai-Sensor, and one platform so teams can see earlier, act faster, and verify what changed.

  • Sunbul-Sensor for plant and soil monitoring
  • Mai-Sensor for liquid level, usage, flow, and tracking
  • One shared workflow for alerts, recommendations, and outcome review
Unified field visibility
Soil temperature 0.0°C Stable root zone window
pH 0.0 Within target range
Flow delta +0% Abnormal usage detected
Tank level 0% Refill forecast in 18h

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.
0 Purpose-built sensing systems connected to one shared platform
0 Closed-loop workflow from measurement to recommendation and verification
Pilot-ready Structured site pilots designed around measurable operational questions

Problem

When plant and liquid data stay separate, teams react late.

Growers and operators still work across manual checks, fixed schedules, and disconnected tools. Sensorco is built to replace that with one readable operating picture.

01

Manual monitoring is late by default

Stress, imbalance, and abnormal liquid behavior are often discovered after the damage starts.

02

Schedules stay fixed while conditions shift

Irrigation rarely moves with daily changes in plant response, soil condition, and liquid use.

03

Data exists, but action still feels unclear

Teams may have readings, but not a clear way to decide what to change next.

Products

Two sensing systems. One operating picture.

Sunbul-Sensor answers the crop-side question. Mai-Sensor answers the liquid-side question. Together they support precision irrigation and broader liquid operations in one workflow.

Sunbul-Sensor

Solar-powered plant and soil visibility

The crop-side sensing layer for teams that need earlier visibility into plant response and root-zone conditions.

  • Solar-powered, poke-and-use deployment
  • Plant and soil monitoring for key stress drivers
  • Feeds alerts, recommendations, and outcome review

Mai-Sensor

GPS-enabled liquid visibility and tracking

The liquid-side sensing layer for sites that need level, usage, flow, and tracking in one system.

  • Built for irrigation networks, reservoirs, tanks, tankers, and transfer systems
  • Supports water and broader liquid operations
  • Turns liquid visibility into earlier action

Combined value

Precision irrigation optimization

When plant signals and liquid signals are read together, teams can tune irrigation with more confidence and verify what improved.

Platform

One platform to monitor, act, and verify.

The hardware captures the signals. The platform turns them into dashboards, alerts, recommendations, and reviewable outcomes.

Sense

Purpose-built hardware

Sunbul-Sensor and Mai-Sensor are built to capture the signals that matter most.

See

Dashboards and alerts

Keep plant, soil, and liquid conditions visible without scattered checks.

Act

Recommendations with context

Turn measurements into clearer next actions instead of more raw data.

Verify

Outcome tracking

Track what changed so good interventions can be repeated and scaled.

Closed loop

Built to turn measurement into action.

The model is simple: capture the right signals, surface drift early, recommend the next move, and verify the result.

01

Capture

Collect the site signals that matter.

02

Detect

Flag stress, loss, or drift while there is still time to respond.

03

Recommend

Turn measurements into operational adjustments.

04

Verify

Review what changed so good decisions can be repeated.

Where we start

Starting where earlier visibility changes the outcome.

The first focus is precision irrigation growers and liquid-critical operations where timing, loss prevention, and measurable follow-through matter.

Designed to scale with deployment

  • Greenhouses
  • Nurseries
  • High-value farms
  • Reservoir monitoring
  • Tanks + tankers
  • Transfer systems

Pilots can start with either sensing layer or both together, then expand once the value is clear.

Next step

Start with one site question and one clear success metric.

Pick the right sensing layer, define the objective, and scope the first pilot around a measurable result.