AI & Aquaculture

FinHarv

An operational-intelligence platform built for commercial aquaculture. FinHarv captures the field data teams already collect — water quality, feeding behaviour, and fish-health observations — connects it across every site, and turns it into decisions. Built to run in remote environments with unreliable connectivity, across pond, RAS, and cage systems and any species.

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53Pathogens & Parasites Diagnosed

10Water-Quality Parameters

OfflineFirst, Multi-Site

Software suite

The software layers inside the platform.

Software 01

Field Data Capture

A mobile-first, offline-capable logging surface that captures data where the work actually happens — at the pond, tank, or cage.

Water quality across 10 parameters — DO, temperature, pH, ammonia, turbidity and more
Feeding and FCR records with 5-point appetite scoring to prevent overfeeding
Automatic sync when connectivity returns, built for remote sites

Software 02

AI Root-Cause Analysis

When something goes wrong, the system cross-examines every data stream and explains why, what is at risk, and what to do — in minutes, not hours.

Correlates mortality events to upstream causes days earlier
Ranks risk and recommends the next operational action
Links water quality, feeding, and health signals into one narrative

Software 03

Fish-Health Diagnostics

Photograph an affected fish and get an immediate structured assessment, backed by species-specific pathogen databases.

Coverage of 53 pathogens and parasites, including notifiable diseases
Species-tuned models for salmon/RAS, barramundi, tilapia, and catfish
Structured findings ready for vet review and reporting

Software 04

Cross-Farm Intelligence & Compliance

Real-time visibility across every site from anywhere, with audit-ready documentation generated as a by-product of daily operations.

Live multi-site dashboards and cross-farm trend analysis
Threshold alerts before problems escalate
Compliance records generated automatically, not after the fact

Capabilities

What the platform enables operationally.

Remote-first operation

Keep logging, syncing, and analysing on ponds and cages with intermittent or absent connectivity — nothing is lost offline.

Any system, any species

Supports pond, RAS, and cage aquaculture across salmon, barramundi, tilapia, catfish, and more from one platform.

Feed & FCR optimisation

With feed at 50–60% of production cost, appetite scoring and FCR tracking surface efficiency gains worth six figures a year.

Early-warning alerts

Threshold breaches and adverse trends are flagged before they become mortality events, not discovered afterwards.

Notifiable-disease awareness

Diagnostic support is tuned to regional notifiable diseases so reporting obligations are caught early.

Audit-ready by default

Every daily action builds a defensible compliance record — no separate paperwork, no reconstruction at audit time.

Delivery stack

Implementation layers behind the product.

Frontend

Mobile-first PWA with offline capture and background sync, designed for gloved hands and bright sunlight at the water's edge.

Backend

Node services with LLM orchestration for root-cause reasoning and computer-vision pipelines for photo-based diagnostics.

Data

PostgreSQL, time-series water-quality storage, and an image store linking every diagnosis to its source capture.

Infrastructure

Deployed on Fly and Cloudflare with offline-first sync, observability, and secure release workflows for production resilience.

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