Hardware, control, and intelligence — one stack
Modular RAS on the floor, AquaOS turning signal into decisions, and a learning network on top — built to replicate from pilot to export scale.
Built for Stability, Isolation, and Control
Isolation Architecture
Each crab grows in its own module — less conflict, more predictable survival.
Closed-loop Water Systems
RAS filtration and recirculation hold environmental parameters steady.
Operational Telemetry
Continuous environmental and infrastructure monitoring.
Automation Layer
Flushing, oxygen control, and telemetry sync reduce instability.
Modular Deployment
Scales from pilot systems to distributed coastal clusters.
Production Standardization
Controlled conditions improve consistency and export-grade quality.
Scalable Production Infrastructure
600+
Pilot Infrastructure
2,000+
Commercial Scaling
Multi-site
Regional Clusters
Global
Infrastructure Expansion
Beyond Monitoring Systems
AquaOS coordinates infrastructure, telemetry, and intervention logic — not a generic farm dashboard. Being built and validated through the pilot.
Telemetry Aggregation
Continuous environmental and operational signal collection.
Biological State Detection
Tracks stress, molting probability, and behavioral anomalies.
Operational Decision Logic
Rule-driven interventions that coordinate production actions.
Infrastructure Synchronization
Links water systems, flushing, oxygen regulation, and sensors.
Causality Mapping
Connects conditions and actions to biological outcomes.
Distributed Intelligence
Cross-cycle learning via the Crustacean Intelligence Network.
AquaOS Control Loop
From biological signals to automated decisions and controlled outcomes
Decide (Think)
Analyze signal patterns and compute risk using rule engines and biological models.
This is the closed-loop biological control AquaOS is being built to run — not just monitoring.
Six Layers, One Closed Loop
From hardware at the base, through telemetry and inference, up to the network.
Current, Developing, Long-term — Stated Honestly
What the technology does today versus what it will do as production data accumulates.
Stage 1
CurrentInfrastructure + Telemetry + Operations
Modular RAS systems
Isolation architecture
Environmental telemetry
Operational SOPs
Causality logging
Stage 2
DevelopingBiological Intelligence Layer
Molt-timing estimation
Mortality risk classification
Behavioral anomaly detection
Yield forecasting
Stage 3
Long-termDistributed Production Network
Cross-farm benchmarking
Predictive infrastructure
CIN learning systems
Network-level optimization
From Operational Pain, Not Software Ambition
Each tool was adopted to solve a real problem on the R&D floor. AquaOS is the next step in that line.
Manual logging
Pen-and-paper records on the R&D floor.
Spreadsheets
First structured per-animal data.
AppSheet
Mobile capture for field operators.
Salesforce
Operational records and process discipline.
Telemetry
Continuous environmental + biological signal capture.
AquaOS (concept)
The control layer being built on top of it all.
The Crustacean Intelligence Network
The long-term layer. Today only the R&D site is active; pilot and planned nodes show the expansion path.
The Stack, Photographed
R&D infrastructure and sensor images from the development stack.
Modular RAS plumbing and recirculation hardware.
Individual isolation boxes — vertical grow-out.
Sensor node and telemetry instrumentation.
Precision Infrastructure