THE FARM PROBLEM
What needs fixing.
Fixed aeration schedules may run equipment when it is not needed, while sudden oxygen demand can create risk if the farm reacts only after dissolved oxygen has already fallen.
AquaNusa / Optimization
AirOptim
Data-driven aeration scheduling designed to align oxygen support with pond demand and operating conditions.
Concept visualizationPRODUCT PURPOSE
What AirOptim is designed to do.
Use pond and environmental data to anticipate oxygen demand and support smarter aerator scheduling.
OPERATIONAL VALUE
What changes for the farm.
Earlier visibility into likely oxygen changes, clearer scheduling decisions and a pathway to supervised or automated aerator control.
WHY IT MATTERS
Built around daily farm operations.
Not another isolated technology layer — the goal is to make the existing farm workflow easier to see, repeat and improve.
Move from reaction to anticipation
Use recent pond patterns to estimate when oxygen demand is likely to rise or fall.
Smarter scheduling
Support aerator timing decisions using live and historical conditions rather than time-of-day alone.
Operator visibility
Show dissolved-oxygen trends, predicted changes, aerator state and alerts in one view.
Automation pathway
Connect approved control logic to existing aeration equipment where the hardware and safety requirements allow it.
HOW IT WORKS
A simple path from input to action.
Use pond and environmental data to anticipate oxygen demand and support smarter aerator scheduling.
Aeration Optimization
Monitor
Collect dissolved oxygen and other relevant pond or environmental signals.
Forecast
Estimate near-term oxygen demand from recent patterns and operating context.
Decide
Recommend an aeration action or schedule for operator review.
Control
Apply supervised or automated control and monitor the resulting pond response.
SYSTEM VISUALS
AirOptim in context.
Visual concepts showing how the proposed system, interface and field workflow could look in an aquaculture environment.
BUILT FOR EXISTING FARMS
Start where your operation is today.
Deployment can begin with one focused problem, validate the workflow in the field, then expand only where the farm sees value.
Use existing aerators
The control layer is intended to integrate around current farm equipment where electrical and safety interfaces permit.
Start advisory
Begin with prediction and recommendation before enabling any automated switching.
Expand gradually
Add more ponds, control points and automation only after field validation.
AQUANUSASTANDALONE OR CONNECTED
AirOptim can be one module — or part of the wider AquaNusa layer.
PondSense can supply live water-quality context, AirOptim turns that context into aeration intelligence, and the AquaNusa Dashboard provides the operator control and status layer.
PILOT FIT
Where we would start.
- Define the farm problem and success criteria.
- Select the ponds, data and hardware required for the first pilot.
- Validate the workflow with operators before expanding automation.
- Measure what changed and decide whether to scale.
DEVELOPMENT FOCUS
What matters technically.
Reliable demand signals, conservative control logic, fail-safe integration and practical compatibility with existing aeration systems.
R&D / PRODUCT DEVELOPMENT
Final capabilities depend on the farm's data, hardware configuration, integration constraints and field validation.
PARTNER / PILOT
Could AirOptim solve a problem on your farm?
Tell us how your farm operates today. We can define a focused pilot around your ponds, available data, existing equipment and operating constraints.