Our Platform

Smart Aquaculture Platform

From raw sensor data to actionable intelligence — monitoring, prediction, and automation for RAS facilities.

The OceanStar platform processes over 17,000 sensor readings per day across six water quality parameters. Machine learning models trained on aquaculture-specific patterns identify trends, correlate parameters, and predict problems before they escalate — giving you hours or days of advance warning instead of minutes.

01

Smart Water Quality Management

Six parameters measured every 30 seconds: pH, dissolved oxygen, conductivity, turbidity, temperature, and water level. Our ML algorithms don't just check thresholds — they analyze how parameters interact. A slowly declining pH that coincides with rising ammonia signals a biofilter under stress. A temperature increase that correlates with dropping DO suggests oxygen supplementation needs adjustment. These cross-parameter patterns are invisible to manual testing but obvious to machine learning models trained on RAS-specific data. The platform optimizes biofilter performance by tracking nitrification efficiency — monitoring the relationship between pH, alkalinity consumption, and ammonia/nitrite conversion rates to predict biofilter stress before a crash occurs.

Readings/Day
17,280
Parameters
6
Sample Rate
30 sec
Alert Latency
<10 sec
02

Disease Prevention Through Early Detection

Diseases in RAS — bacterial gill disease, Saprolegnia, columnaris, Ich — don't appear suddenly. They emerge when water quality drifts into conditions that favor pathogens: rising turbidity signals filtration problems, declining DO creates stress, pH instability weakens immune response. The OceanStar platform detects these precursor conditions 2–5 days before clinical signs appear. When water quality parameters show patterns associated with disease risk, the system escalates alerts automatically. Combined with the closed-loop nature of RAS (no sea lice, no wild pathogen exposure), continuous monitoring creates a facility where disease outbreaks are prevented rather than treated — saving the enormous cost of lost stock, medication, and production downtime.

Early Warning
2–5 days
Mortality Reduction
20–30%
Parameters Tracked
6 × 24/7
Alert Channels
SMS + Email
03

Climate Adaptation & Energy Optimization

Canadian RAS facilities face unique climate challenges: extreme seasonal temperature swings from -30°C winters to +30°C summers, unpredictable weather events affecting power supply, and rising energy costs for heating and cooling. The platform's ML models forecast environmental variations and optimize energy management accordingly. Instead of running heaters and chillers at fixed setpoints, the system learns your facility's thermal characteristics — insulation efficiency, ambient temperature correlation, equipment response curves — and adjusts proactively. This intelligent energy management can reduce heating and cooling costs by 15–25% while maintaining ideal growing conditions. The platform also monitors power consumption patterns to predict equipment degradation before failures occur.

Energy Savings
15–25%
FCR Improvement
10–15%
Climate Range
-30 to +30°C
ROI Period
6–18 months
04

Automated Controls

Four relay outputs on each OST-MAIN-01 hub connect directly to your facility equipment — aerators, heaters, pumps, dosing systems, backup generators, alarm horns. You define the rules: if dissolved oxygen drops below 7.0 mg/L, activate supplemental aeration. If pH falls below 6.8, trigger alkalinity dosing. If water level drops unexpectedly, sound the alarm and notify staff. The system executes these rules in real time, 24 hours a day, without waiting for a human to check. This means fewer midnight emergency calls, faster response to critical events, and consistent conditions even during shift changes or weekends. Every automated action is logged for review and compliance documentation.

Relay Outputs
4 per hub
Response Time
<1 sec
Rule Engine
Custom rules
Labor Savings
30–40%

Dashboard & Reporting

Access everything from desktop or mobile

pH Trend
O₂ Levels
Alerts

The Difference

Manual Testing vs. OceanStar

Most RAS operators rely on manual spot-checks 2–3 times per day. Here's what continuous monitoring changes.

Manual Testing
OceanStar Platform
Monitoring Frequency
2–3× per day
Every 30 seconds
Overnight Coverage
None (unmanned)
24/7 continuous
Response Time
Hours (next check)
Seconds (instant alert)
Data Accuracy
Human error, test kit limits
±0.01 pH, ±0.01 mg/L DO
Trend Detection
Requires manual log review
ML auto-correlation
Compliance Records
Manual paperwork
Automated reports
Staff Dependency
100% manual labor
30–40% labor reduction

99.9% Uptime SLA

Your monitoring cannot have downtime. We guarantee 99.9% platform availability with a 4-hour response time for critical issues. Monthly performance reports and quarterly business reviews keep you informed.

Open API Access

Integrate OceanStar data with your existing farm management software, ERP systems, or custom applications. RESTful API with comprehensive documentation. Available on Professional and Enterprise tiers.

Compliance Reporting

Automated data logging for regulatory compliance, ASC certification audits, and insurance documentation. Export historical data in standard formats. Generate reports with one click — no more manual paperwork.

Ready to Transform Your RAS Operation?

Join the next generation of aquaculture operators using AI-powered monitoring to protect their fish and their bottom line.

Request a Demo →