Safeguarding aquatic yield with precision intelligence.
AquaHealth empowers commercial hatcheries, cooperative farms, and marine NGOs to shift from reactive treatments to proactive, tank-by-tank management.
Stop guessing. Start knowing.
Global aquaculture loses billions annually to late-detected parasitic outbreaks and sudden dissolved oxygen crashes. We deploy edge-computing cameras and sensor arrays directly into your commercial pens, processing behavioral data in real-time to alert your operations team days before manual sampling would find a problem.
Our origin storyThe complete surveillance stack for modern B2B aquaculture.
Hardware, telemetry, and machine learning combined to bring absolute visibility to your entire portfolio.
Behavioral & Lesion Analytics
Our proprietary neural networks track fish velocity, schooling density, and surface lesions to flag pathogenic stress.
Explore AnalyticsIP68 Edge Hardware
Ruggedized underwater camera arrays and multi-parameter sensor probes built for corrosive marine environments.
Hardware SpecsPortfolio Command Center
Aggregate telemetry across dozens of sites to route veterinary resources exactly where needed.
View DashboardTransforming how executives manage biological risk.
Deploy Seamlessly
Our technicians install solar-powered edge nodes directly onto your pen walkways without disrupting ongoing farm operations.
Monitor Continuously
Data streams directly into our Azure cloud infrastructure, constantly analyzing feed conversion ratios and stress markers.
Act Decisively
Receive SMS and dashboard alerts predicting oxygen crashes or sea lice blooms up to 48 hours in advance.
Enterprise-Grade Infrastructure
Because a 2% drop in mortality saves millions.
Trusted by commercial operators globally.
"We operate 14 distinct offshore sites. AquaHealth's Azure dashboard gave our executive team portfolio-wide visibility for the first time. We reduced our emergency veterinary dispatch costs by 42% in Q1 alone."
"The neural net identified a sudden shift in schooling behavior long before our dissolved oxygen sensors tripped an alarm. The early warning allowed us to deploy aerators and completely avert a mass mortality event."
"We rely on precise feeding windows to maintain margin. The hardware integration was seamless, and the telemetry lets us optimize feed distribution tank-by-tank, drastically reducing waste."
A small, technical team building AquaHealth.
Marine biology and machine learning under one roof — close to the organizations that serve commercial growers, close to the models.
Read our full story
Onyedika Onuorah Ikechukwu
Visionary leader driving the mission to transform commercial aquaculture through intelligent, data-driven solutions.
Chidi Nze
Machine-learning engineer. Leads the detection models and Azure/AWS sensor pipeline platform.
Deep dives into aquaculture tech.
Training CNNs to track fish velocity in low-visibility marine environments.
Why we shifted to Azure IoT Edge for disconnected offshore pen analysis.
Quantifying sea lice infestation rates using sub-surface camera arrays.