The Challenge
Recording Data, Not Optimizing Decisions
Raw data doesn’t truly guide feeding or oxygen optimization.
Critical Sensors Are Costly and Fragile
Ammonia and dissolved oxygen monitoring relies on expensive, drift-prone membrane probes.
Threshold Triggers, Not Intelligent Action
Fixed alerts can’t anticipate risk or coordinate response.
How to use
Monitor
Track up to 11 vital parameters in real-time for complete water monitoring.
Predict
AI-powered alerts for oxygen crashes and ammonia spikes.
Act
Automatically fixes water issues through connected devices or expert guidance.
Probe
Anti-Interference RS485 Signal
Accurate even in high-noise environments.
Automatic Temperature Compensation
Corrects drift automatically for long-term reliable readings.
IP68 Submersible Design
Built to survive saltwater, humidity, and real-world pond conditions.
Why H2OS
Predicts water-quality risks locally, without the cloud.
Sees problems forming before fish show stress.
Built with enough compute to support future model upgrades over-the-air.
Protects your data and device with hardware-level isolation.
H2OS App
Smart Water Diagnosis
Turns raw sensor data into clear health warnings.
Multi-Pond Control
Manage every pond from one screen.
Fish Vision AI
Detects species, stress, and disease early.
Auto Care Logs
Tracks water changes and feeding for you.
Cloud Management Principles
No DevOps, No IT Overhead
Deploy once. We handle infrastructure, updates, and reliability — so your team focuses on operations, not servers.
Built to Scale, Priced to Scale
Manage multiple ponds and sites in one platform. As deployments grow, the marginal cloud management cost goes down — not up.
One Platform for All Your Ponds
Monitor, compare, and learn across ponds and farms from a single, unified cloud view.
Designed for Long-Term Learning
More than real-time charts. Your data builds baselines, improves models, and supports better decisions over time.
Why us
FAQ
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