AquaMonitor

Earlier warnings, faster decisions, and a clearer response process for aquaculture teams

AquaMonitor helps aquaculture teams detect biological risk earlier, align faster under pressure, and move from fragmented signals to clear operational action.

The platform combines farm data, environmental signals, and AI-assisted guidance in a single workflow designed for production, fish health, and management teams. It is built for companies that want a practical pilot, not another dashboard that stops at alerts.

Our solutions

  • Algae Risk Monitoring
  • Forecasting & Decision Support
  • Data Integrations
  • Action Playbooks
  • Explainability
  • Audit Trail

Platform Modules

A product designed to turn risk signals into decisions the team can actually use

Each module is designed to reduce reaction time, improve coordination across teams, and make a pilot immediately useful in day-to-day operations.

Algae Risk Monitoring

Continuous early warning for harmful algae risk across sites and pens.

  • Tracks risk signals from water, weather, lab results, and local farm data.
  • Shows where risk is rising before it becomes an incident.
  • Highlights the sites and pens that need attention first.

Forecasting & Decision Support

Short-horizon forecasting that helps teams act before the response window closes.

  • Projects risk over the next 12-48 hours.
  • Supports prioritization by urgency and likely operational impact.
  • Helps managers compare scenarios and make faster, more defensible calls.

Data Integrations

A single layer for the internal and external data sources the farm already uses.

  • Connects farm systems, sensors, weather feeds, lab inputs, and public data sources.
  • Reduces manual data gathering across tools and spreadsheets.
  • Fits into existing enterprise infrastructure without requiring a full replacement.

Action Playbooks

Not just alerts, but concrete site- and pen-level recommendations.

  • Tells teams what to do now, what to prepare, and what to monitor next.
  • Assigns actions by priority, deadline, and owner.
  • Creates a shared operating language across biology, operations, and management.

Explainability

Clear reasoning behind each risk score and recommendation.

  • Shows which inputs increased risk and why they matter now.
  • Builds trust in the system across technical and management teams.
  • Makes AI outputs easier to review, discuss, and approve internally.

Audit Trail

A complete record of signals, recommendations, actions, and outcomes.

  • Captures what happened, what the system suggested, and what the team did.
  • Improves internal review, compliance readiness, and incident analysis.
  • Turns each event into a learning loop for future response.

How It Works

From fragmented signals to a response process teams can actually run

  1. Collect. Pull in water, weather, lab, welfare, and operational signals.
  2. Assess. Calculate risk by site and pen, then update the view as conditions change.
  3. Recommend. Turn model output into practical actions for the next few hours.
  4. Record. Save the signal, recommendation, human decision, and outcome in one log.

Why Teams Need It

Why this is worth piloting

  • Earlier intervention when biological risk starts building.
  • Less manual alignment across operations, fish health, and management.
  • Stronger consistency in high-pressure decisions.
  • Better post-incident reviews and more defensible internal reporting.
  • A practical product layer that sits on top of the systems teams already use.