Security
Your farm data stays under your control with private deployments, role-based access, and auditable feeding decisions.
Mythos Live
Private cage modelOxygen
6.8 mg/L
Appetite
+18%
Waste risk
Low
Medium feed recommended
Cage B · 08:00 window2.4 kgHuman review requiredReady
Camera confidence at 94%
Vision checks stay connected to the feeding decision before every automated action.
Trusted by aquaculture operators and developers worldwide
AquaFarm
BlueOcean
SeaHarvest
Nordic Fish
Pacific Salmon
Poseidon
HatchLab
MeriSense
TideWorks
FarmOS
ReefGrid
Ocean Ledger
Safe. Flexible. Independent.
Deployment
Run FeedRight in the cloud, inside a virtual private network, or connected to the camera and sensor stack already on site.
Customization
Train on your own cage history, species profiles, feed curves, and seasonal water conditions for site-specific automation.
FeedRight
Your sovereign aquaculture workplace
All your cages connected, nothing outsourced. FeedRight brings every feeding signal together on your terms.
Open dashboardAutomations
Browse workflows that streamline repetitive feeding operations with review-ready controls.
DiscoveryRunsMy buildsMonitor
+2
Waste Scope
Measure pellet drift and surface activity for the feeding team.
+2
Meeting Summarizer
Turn operator handover notes into action items.
+2
Cage Review
Review complex water-quality changes before automation.
+2
Customer Overview
Get a holistic view of farm and cage performance.
Powering progress across aquaculture
Finfish
Appetite-aware feeding for cage, pond, and raceway teams.
Offshore cages
Open-water cage operations with video, oxygen, and feed telemetry.
Shrimp operations
Pond-level control for feed timing, aeration, and growth variance.
Hatcheries
Early-stage rearing workflows with consistent checks and audit trails.
Pond grow-out
Multi-pond feeding plans with site-level visibility for supervisors.
Circular net pens
Dense cage arrays monitored as one coordinated operating surface.
Lake farms
Freshwater cages planned around site conditions and farm routines.
Blue-water arrays
Large sea-farm layouts with consistent feed and performance tracking.
MYTHOS AGENTARGUS INPUTS
Plan tomorrow's feed for Cage B using camera confidence, dissolved oxygen, appetite, biomass, and forecast wind.
05:30Light feed1.2 kg
08:00Medium feed2.4 kg
12:30PauseLow oxygen watch
16:00Heavy feed3.5 kg
Mythos and Argus Vision. Your farm.
Mythos
An aquaculture operations agent that balances appetite, waste, oxygen, growth, and human review.
- Six precision feeding levels for every cage
- Safety overrides before every automated action
- Learns from actual farm outcomes each month
Argus Vision
Computer-vision signals that detect appetite, pellet drift, and uneaten feed in real time.
- Works with underwater camera streams
- Flags low visibility before decisions are trusted
- Turns video into feeding confidence scores
Why leading farms trust FeedRight
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Results
FeedRight gives operators a shared source of truth for appetite, safety, and feed cost without giving up control of farm data.
Measured across high-frequency feeding workflows.
80%
reduction in feeding labor
Reviewed automation replaces routine cage-by-cage feeding rounds.
15%
less feed wasted per cage
Appetite signals and oxygen limits stop feed before pellets drift.
9%
FCR improvement in year one
Routine model updates keep feed curves aligned with biomass and season.
One operating layer for cage video, water quality, feeding action, and audit trail.
Operator resources
Find everything you need to run the platform, from model governance to calibration guides and integration docs.
Introduction
Creating a cage
Model overview
Safety limits
Release notes
CREATE A CLIENT
Connect farm data
const farm = await feedright.connect();
await farm.cages.watch("cage-b");
await farm.models.review("mythos");
Camera ready
Sensors synced
Safety active
“FeedRight gave our operators a shared source of truth for appetite, safety, and feed cost without giving up control of farm data.”
— Operations Director, coastal aquaculture group