A unified digital platform for managing, monitoring, analyzing, and optimizing modern Recirculating Aquaculture Systems.
Developed by Aero Intelli
AERIQ is an intelligent farm-management and operational technology platform designed specifically for Recirculating Aquaculture Systems (RAS).
The platform is being developed to bring aquaculture production, water-quality monitoring, fish growth, feeding, biofilter engineering, equipment management, farm economics, IoT telemetry, analytics, alerts, and intelligent decision support into one integrated environment.
AERIQ is designed around a simple principle:
Every important RAS operation should be measurable, traceable, understandable, and actionable.
Instead of maintaining disconnected spreadsheets, paper records, sensor dashboards, equipment logs, and calculation tools, AERIQ aims to provide a structured digital operating environment for the complete production cycle.
A modern RAS facility generates information continuously.
Farm teams need to understand:
- How much biomass is currently in each tank?
- How quickly are the fish growing?
- How much feed should be supplied?
- What is the current FCR?
- What is the expected TAN production?
- Is the biofilter operating within its design capacity?
- Is dissolved oxygen within the desired operating range?
- Is stocking density approaching its limit?
- How much water is circulating through the system?
- Are pumps and treatment systems operating correctly?
- When is the expected harvest?
- What is the estimated production cost?
- Which conditions require immediate attention?
These questions are interconnected.
AERIQ is being designed to connect them within a common data and calculation architecture.
AERIQ is intended to evolve beyond traditional farm-management software.
The long-term platform combines:
Aquaculture Management + RAS Engineering + IoT + Analytics + Automation + Intelligence
into a unified operating environment.
AERIQ
│
┌──────────────────┼──────────────────┐
│ │ │
Farm Operations RAS Engineering Intelligence
│ │ │
Production Hydraulics Analytics
Fish Batches Biofiltration Forecasting
Feeding Oxygenation Anomalies
Mortality Filtration Optimization
Harvest Equipment Decision Support
│ │ │
└──────────────────┼──────────────────┘
│
IoT & Telemetry
│
Sensors · Devices · Controllers
Create and manage structured aquaculture operations across multiple facilities.
AERIQ is designed around the hierarchy:
Organization
│
├── Farm
│ │
│ ├── RAS System
│ │ │
│ │ ├── Tank
│ │ ├── Tank
│ │ ├── Treatment System
│ │ └── Equipment
│ │
│ └── Production Cycles
│
└── Additional Farms
Potential capabilities include:
- Organization management
- Multi-farm management
- RAS system configuration
- Tank management
- Production-cycle management
- Species configuration
- User and team management
- Farm-level permissions
AERIQ provides a structured model for following fish from stocking to harvest.
Production records may include:
- Species
- Stocking date
- Initial fish count
- Initial average weight
- Current fish count
- Average body weight
- Biomass
- Mortality
- Survival
- Stocking density
- Growth rate
- Sampling records
- Production stage
- Target harvest weight
- Expected harvest date
- Harvest quantity
The objective is to provide a continuously updated representation of the production status of every active batch.
Biomass is one of the central variables in RAS management.
AERIQ can use production records to derive metrics such as:
Biomass (kg)
=
Fish Count × Average Fish Weight (kg)
Example:
Fish Count = 7,000
Average Fish Weight = 1.00 kg
Biomass
= 7,000 × 1.00
= 7,000 kg
Biomass can then contribute to calculations involving:
- Feeding
- Stocking density
- Oxygen demand
- Waste production
- TAN loading
- Production forecasting
- Harvest planning
Feed is both a biological input and a major production cost.
AERIQ is intended to support:
- Feed-rate management
- Daily feed calculations
- Feed schedules
- Feed inventory
- Feed batch tracking
- Feed costs
- Feed conversion ratio
- Historical feed consumption
- Stage-specific feeding strategies
Example:
Daily Feed
=
Biomass × Feed Rate
For:
Biomass = 4,000 kg
Feed Rate = 1.3%
the calculated daily feed is:
4,000 × 0.013
= 52 kg/day
AERIQ can track production efficiency using FCR.
FCR
=
Feed Consumed
───────────────
Biomass Gain
FCR history can be analyzed by:
- Production cycle
- Species
- Tank
- Growth stage
- Feed type
- Time period
Water quality is fundamental to RAS operation.
AERIQ is designed to capture, analyze, and visualize parameters including:
| Parameter | Typical Unit |
|---|---|
| Temperature | °C |
| Dissolved Oxygen | mg/L |
| pH | pH |
| TAN | mg/L |
| NH₃ | mg/L |
| NO₂-N | mg/L |
| NO₃-N | mg/L |
| Alkalinity | mg/L as CaCO₃ |
| Carbon Dioxide | mg/L |
| Salinity | ppt / PSU |
| ORP | mV |
Depending on system configuration, additional parameters may be supported.
Measurements can originate from:
- Manual testing
- Laboratory testing
- Portable meters
- IoT sensors
- Automated monitoring equipment
One of AERIQ's core technical objectives is to connect production management with RAS engineering.
Rather than treating engineering calculations as isolated tools, AERIQ aims to connect them to actual farm and production data.
A simplified calculation chain may look like:
Fish Count
↓
Average Fish Weight
↓
Biomass
↓
Feed Requirement
↓
Waste / TAN Load
↓
Biofilter Requirement
↓
Oxygen Demand
↓
Water Flow
↓
Treatment Requirements
↓
Operational Monitoring
AERIQ is intended to support nitrogen-management calculations associated with feed loading and fish production.
Depending on the configured calculation methodology, the system may evaluate:
- TAN generation
- Ammonia fraction
- Nitrite
- Nitrate
- Nitrogen loading
- Biofilter loading
- Water-exchange effects
Engineering assumptions and units should remain explicit and traceable.
Biofiltration is one of the most important processes in a RAS.
AERIQ's biofilter module is intended to support calculations involving:
- TAN load
- Required nitrification capacity
- Media type
- Specific surface area
- Protected surface area
- Effective surface area
- Media volume
- Reactor volume
- Media fill percentage
- Hydraulic flow
- Hydraulic retention time
- Oxygen requirement
- Aeration
- Alkalinity demand
- Startup and maturation monitoring
The platform should preserve the assumptions behind engineering results rather than presenting unexplained final numbers.
AERIQ is intended to model important hydraulic parameters such as:
- Total system volume
- Tank volume
- Treatment volume
- Recirculation flow
- Tank flow
- Turnover rate
- Hydraulic retention time
- Water exchange
- Makeup water
- Treatment bypasses
For example:
Turnover Rate
=
System Flow (m³/h)
──────────────────
System Volume (m³)
These calculations can be connected to equipment configuration and operational monitoring.
AERIQ is designed to maintain digital records for major RAS equipment.
Potential equipment classes include:
| Equipment | Management Scope |
|---|---|
| Drum Filter | Flow, status, runtime, maintenance |
| Biofilter | Flow, media, loading, performance |
| UV System | Flow, lamps, runtime, service |
| Protein Skimmer | Flow and operating status |
| Degasser | Flow and performance |
| Radial Flow Filter | Flow and maintenance |
| Sieve Filter | Flow and screen configuration |
| Oxygen Cone | Flow and oxygenation |
| Ozone Generator | Capacity and operating status |
| Pumps | Flow, head, power, runtime |
| Air Blowers | Airflow, pressure, runtime |
| Sensors | Calibration, telemetry, health |
| Controllers | Device status and communication |
Equipment records may include:
- Manufacturer
- Model
- Serial number
- Installation date
- Rated capacity
- Operating range
- Runtime
- Maintenance schedule
- Service history
- Fault history
AERIQ is designed to progressively integrate real-time aquaculture telemetry.
Sensor / Controller
│
▼
Edge Device
│
▼
MQTT
│
▼
Telemetry Service
│
▼
AERIQ API
│
▼
Time-Series Data
│
▼
Dashboard / Alerts / Analytics
Potential telemetry sources include:
- DO sensors
- pH sensors
- Temperature sensors
- ORP sensors
- Water-level sensors
- Flow meters
- Pressure sensors
- Energy meters
- Equipment controllers
AERIQ aims to convert raw measurements into actionable information.
Examples may include:
LOW DISSOLVED OXYGEN
Tank: T-04
DO: 3.7 mg/L
Severity: Critical
HIGH TAN
RAS System: RAS-02
TAN: 1.8 mg/L
Severity: Warning
PUMP FAULT
Equipment: Circulation Pump P-02
Status: Offline
Severity: Critical
Alert logic should account for configuration, species, production stage, and operating conditions where appropriate.
AERIQ is intended to provide operational and production analytics across the complete farming cycle.
Potential KPIs include:
- Current biomass
- Average body weight
- Survival rate
- Mortality rate
- FCR
- Daily feed
- Growth rate
- Stocking density
- Water-quality trends
- TAN load
- Equipment runtime
- Production cost
- Cost per kilogram
- Harvest forecast
- System performance
Future AERIQ intelligence capabilities are intended to assist farm teams with understanding complex operational data.
Potential capabilities include:
- Water-quality anomaly detection
- Growth forecasting
- Biomass forecasting
- Feed optimization
- Harvest prediction
- Mortality pattern analysis
- Equipment anomaly detection
- Production-risk detection
- Farm-performance analysis
- Intelligent recommendations
AI-generated outputs should remain distinguishable from measured values and deterministic engineering calculations.
AERIQ intelligence is intended as decision support, not as a replacement for appropriate professional aquaculture, veterinary, engineering, safety, or regulatory judgment.
AERIQ is intended to connect biological production with financial performance.
Potential cost categories include:
- Fingerlings / seed
- Feed
- Electricity
- Oxygen
- Water
- Labor
- Chemicals
- Consumables
- Maintenance
- Equipment
- Transportation
- Other operating costs
Potential outputs include:
- Production cost
- Cost per kg
- Revenue
- Gross margin
- Cycle profitability
- Farm profitability
- Feed-cost contribution
- Energy-cost contribution
AERIQ is intended to generate structured operational and management reports.
Potential reports include:
- Daily Farm Report
- Water Quality Report
- Feeding Report
- Mortality Report
- Biomass Report
- Growth Report
- Production Cycle Report
- Equipment Report
- Maintenance Report
- Inventory Report
- Harvest Report
- Financial Performance Report
AERIQ is being designed as a multi-tenant SaaS platform.
AERIQ
│
├── Organization A
│ ├── Farm 01
│ └── Farm 02
│
├── Organization B
│ └── Farm 01
│
└── Organization C
├── Farm 01
├── Farm 02
└── Farm 03
Tenant isolation is treated as a fundamental security requirement.
Data belonging to one organization must not be accessible to another organization without explicit authorization.
AERIQ may support roles such as:
| Role | Typical Responsibility |
|---|---|
| Owner | Organization-level control |
| Administrator | Platform/farm administration |
| Farm Manager | Production and operational management |
| Technician | Equipment and maintenance operations |
| Operator | Daily farm activities |
| Viewer | Read-only access |
Authorization must be enforced server-side.
AERIQ is designed around a modern, service-oriented web architecture.
- Next.js
- React
- TypeScript
- Modern responsive web UI
- Python
- FastAPI
- REST APIs
- Background processing
- PostgreSQL
- Redis
- Time-series strategy where required
- MQTT
- Edge gateways
- Device telemetry
- Sensor integrations
- Docker
- CI/CD
- Cloud-ready deployment
- Monitoring and observability
The final technology stack may evolve as engineering requirements mature.
┌─────────────────────┐
│ AERIQ Web │
│ Next.js / React │
└──────────┬──────────┘
│
▼
┌─────────────────────┐
│ API Layer │
│ FastAPI │
└──────────┬──────────┘
│
┌─────────────────┼─────────────────┐
│ │ │
▼ ▼ ▼
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ Farm Service │ │ RAS Engine │ │ Alert Engine │
└──────┬───────┘ └──────┬───────┘ └──────┬───────┘
│ │ │
└──────────────────┼──────────────────┘
│
▼
┌─────────────────┐
│ PostgreSQL │
└─────────────────┘
▲
│
┌─────────────────┐
│ MQTT / IoT Layer│
└────────┬────────┘
│
┌────────────┼────────────┐
▼ ▼ ▼
Sensor Gateway Controller
AERIQ distinguishes between different classes of information.
Measured Data
│
├── Sensor readings
└── Manual measurements
User-Entered Data
│
├── Stocking
├── Feed
└── Mortality
Calculated Data
│
├── Biomass
├── FCR
├── TAN
└── Density
Predicted Data
│
├── Growth forecast
├── Harvest forecast
└── AI recommendations
Maintaining this distinction is important for auditability and operational decision-making.
Security is a core AERIQ engineering requirement.
The platform architecture is intended to incorporate:
- Authentication
- Role-based authorization
- Tenant isolation
- Secure API access
- Encryption in transit
- Appropriate encryption at rest
- Secret management
- Audit logging
- Input validation
- Dependency monitoring
- Secure IoT communication
- Security monitoring
Please review:
Do not report security vulnerabilities through public GitHub Issues.
AERIQ aims to make complex aquaculture information understandable and operable by as many users as reasonably possible.
Accessibility considerations include:
- Keyboard navigation
- Screen-reader compatibility
- Clear form labels
- Accessible alerts
- Readable contrast
- Responsive interfaces
- Alternatives to color-only status indicators
- Understandable charts and tables
See:
AERIQ follows structured engineering and contribution practices.
Before contributing, review:
Contributions affecting RAS calculations must document:
- Inputs
- Units
- Formula
- Assumptions
- Outputs
- Validation
- Tests
- Engineering basis
AERIQ is currently under active development.
The architecture, APIs, database models, engineering calculations, interfaces, and features may change before a stable production release.
The current repository should not be interpreted as a completed production system.
The high-level development direction is:
- Repository architecture
- Engineering standards
- Security
- Testing
- CI/CD
- Documentation
- Authentication
- Organizations
- Farms
- Users
- Roles
- RAS systems
- Tanks
- Fish batches
- Production cycles
- Biomass
- Growth
- Feed
- FCR
- Mortality
- Harvest
- Manual readings
- Parameter configuration
- Historical trends
- Thresholds
- Alerts
- TAN
- Biofilter
- Biomedia
- Flow
- Turnover
- HRT
- Oxygen
- Water exchange
- Equipment sizing
- Equipment
- Maintenance
- Inventory
- Farm costs
- Reports
- IoT
- MQTT
- Sensors
- Telemetry
- Equipment monitoring
- Anomaly detection
- Forecasting
- Optimization
- Decision support
- Intelligent farm insights
AERIQ development follows several core principles.
Important calculations should be based on explicit inputs, formulas, units, assumptions, and validated engineering methods.
Reliable farm data and deterministic calculations should form the foundation for intelligent features.
Physical equipment control requires appropriate authorization, validation, monitoring, and fail-safe engineering.
Important operational recommendations should expose relevant reasoning, inputs, or assumptions where practical.
Tenant isolation, authorization, data protection, and secure device communication are architectural requirements.
Technology must remain practical for people operating real aquaculture facilities.
Important project documents include:
| Document | Purpose |
|---|---|
README.md |
Platform overview |
LICENSE |
Proprietary software license |
SECURITY.md |
Security and vulnerability reporting |
ACCESSIBILITY.md |
Accessibility commitments |
CONTRIBUTING.md |
Contribution standards |
Additional governance and technical documentation will be introduced as the project develops.
AERIQ is proprietary software.
Copyright © 2026 Aero Intelli.
All Rights Reserved.
AERIQ is governed by the:
AERIQ Proprietary Software License v1.0 (AERIQ-PSL-1.0)
See:
Unless expressly authorized in writing, the software may not be copied, redistributed, sublicensed, sold, reverse engineered, or commercially exploited outside the rights granted by the applicable license or agreement.
Third-party and open-source components remain subject to their respective licenses.
AERIQ may provide calculations, analytics, forecasts, alerts, recommendations, and decision-support information related to aquaculture operations.
Actual biological and engineering performance can vary based on species, feed, water chemistry, environmental conditions, equipment performance, management practices, disease, system design, and other factors.
AERIQ should therefore be used as a management and decision-support platform.
Safety-critical, veterinary, engineering, financial, and regulatory decisions should be independently reviewed by appropriately qualified professionals where required.