Aquaculture & Fisheries
Chile is the world's second-largest salmon producer and a top seafood exporter. The industry generates massive data volumes — oxygen, temperature, salinity, currents, feeding, biomass, health, and traceability — but each system sits in its own silo. When a harmful algal bloom (HAB) or ISA outbreak hits, losses are catastrophic because no one connected the early signals. We first diagnose which data predicts the event; depending on the case that ranges from integrating two sources to a navigable network linking environmental, health, production, and regulatory data to predict mortality, optimize feeding, automate SERNAPESCA compliance, and trace every fish from egg to destination market.
— Nature Scientific Reports, 2018
The problems
300+ variables per cage, every day. Without a graph connecting them, your AI sees numbers — not the mortality event coming in 72 hours.
Preventable mass mortality
Harmful algal blooms, ISA, SRS, and piscirickettsia cause losses of hundreds of millions of dollars. The data that predicts these events exists — but it's in separate systems.
Blind feeding
Feed represents 50-60% of production cost. Without correlating FCR with environmental conditions and health status, operations systematically overfeed or underfeed.
Fragmented traceability
Destination markets (EU, US, Japan) demand full traceability. Today it's assembled manually by crossing spreadsheets from multiple systems.
Manual regulatory compliance
SERNAPESCA, SMA, Subpesca — antibiotic usage reports, density per concession, environmental reports. All manual, all error-prone.
Our solutions
Aquaculture & Fisheries
Connected operations data
When the case warrants it, we connect sites, cages, cohorts, environmental sensors, health data, and feeding — each entity with its full context.
72-hour mortality prediction
AI that correlates oxygen, temperature, currents, health histories, and regional data to predict mortality events 72 hours in advance.
Intelligent feed optimization
Models that adjust rations in real time based on environmental conditions, health status, and growth curve. FCR and cost reduction.
Egg-to-table traceability
We connect genetics, hatchery, grow-out, harvest, processing, and export certifications, with automatic document generation per market.
Automated SERNAPESCA compliance
Automatic regulatory report generation: INFA, antibiotic usage, density per concession, environmental reports — from a single source of truth.
Related services
GraphRAG and knowledge graphs
Only if warranted
Automation, agents, and applied AI
When it adds value
Data, integrations, and databases
Foundation when needed
Fractional leadership: CAIO + CTO
Executive judgment
Frequently asked questions
What do you diagnose first in Aquaculture & Fisheries?
We start with the operational pain, usually around Preventable mass mortality: Harmful algal blooms, ISA, SRS, and piscirickettsia cause losses of hundreds of millions of dollars. The data that predicts these events exists — but it's in separate systems. From there we decide whether the issue is process, data, systems, leadership, or a mix of them before proposing any implementation.
Do we need AI or a new platform to solve it?
Not by default. In Aquaculture & Fisheries, the right answer can be a process change, integration, automation, dashboard, custom software, or no build at all. We only use AI or advanced data architecture when the diagnostic shows it will change the business result.
What could an initial project look like?
A first scope often targets Connected operations data: When the case warrants it, we connect sites, cages, cohorts, environmental sensors, health data, and feeding — each entity with its full context. We keep the scope tied to one measurable outcome, clear ownership, and the capacity your team actually has to operate the change.
How does fractional CAIO/CTO support work here?
We act as fractional technical leadership for Aquaculture & Fisheries: prioritizing risks, turning Blind feeding into concrete operating decisions, selecting or coordinating vendors when needed, and supervising implementation until the change is working in the business.