labs@atheron:~/industries/fisheries-aquaculture$ log --catch --pens --lots --buyers

Fisheries software

From the net or the pen to the buyer, on record.

Your catch is logged on paper at sea, your pens are watched on three different screens, and every buyer wants to know where a lot came from. We build the systems that record catch, quota, feed, mortality and lots as the work happens, so your reports, your audits and your buyers' questions start from data.

Start a project See the example projects

// what you are up against

The problems we hear most.

Catch logs on paper

Skippers fill in logbooks at sea, someone retypes them ashore, and quota left on each licence is only known after the spreadsheet catches up.

Sensors on separate screens

Oxygen, temperature and feeding systems each have their own screen, and an alarm at night depends on someone happening to look.

Feed and mortality by hand

Feed, mortality and treatment records are written on whiteboards and clipboards, then typed into a spreadsheet when someone has time.

Traceability rebuilt for each buyer

Every buyer asks where a lot came from, and the answer means digging through landing slips, pen records and processor sheets.

// example projects

Systems we could build for you.

Each one is hypothetical, labelled as such, and priced live from our rate card. Open any of them in the estimator and make it yours.

Example projectWeb appMobile app

Catch log and quota tracking

Hypothetical. Not a client, not a result.

// The problem

A fishing company with several vessels keeps catch logs on paper, retypes them ashore, and only knows how much quota is left on each licence days after each trip.

// What we would build

An iOS and Android app for skippers that logs sets, catch and bycatch at sea without signal and syncs when back in range, and a web system ashore that tracks catch against each licence and quota, with landing slips matched to trips. Reporting rules and licence conditions are the ones your fishery advisers set; we do not interpret regulations.

// What is in it

Sets, catch, bycatch and positions logged at sea, offline
Trips synced when the vessel is back in range
Catch tracked against each licence and quota, with alerts as it runs low
Landing slips and buyer weights matched to trips
Reports in the format your advisers specify, for your review before they are sent
A design built for gloves, wet screens and bright sun

// Stack

React Native
SQLite on the device
Next.js
PostgreSQL
AWS Canada

// estimate

Build: ≈ US$127,000 to US$194,000, delivered within 28 weeksCAD 180,900 to 276,600
Hosting: ≈ US$176 a monthCAD 250 a month
Support: ≈ US$2,500 a monthCAD 3,565 a month

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

Timeline by milestone

Discovery: 2.9 to 3.4 weeks
Design approved: 6.4 to 10.9 weeks
Core features: 1.9 to 2.9 weeks
Full build: 1.4 to 1.9 weeks
First build on devices: 3.4 to 5.9 weeks
Testing and fixes: 0.4 to 0.9 weeks
Store submission: 0.4 to 0.9 weeks
Offline sync tested on a vessel or site: 0.9 weeks
Catch reconciled against a past season: 0.9 weeks
Launch: 0.9 to 1.4 weeks

Outside our hands, and added to the calendar

App store review: 1 week

How it is paid

Deposit 20%: CAD 36,180 to 55,320
Discovery 7.2%: CAD 13,024.80 to 19,915.20
Design approved 7.2%: CAD 13,024.80 to 19,915.20
Core features 5.9%: CAD 10,673.10 to 16,319.40
Full build 3.9%: CAD 7,055.10 to 10,787.40
First build on devices 15.6%: CAD 28,220.40 to 43,149.60
Testing and fixes 1.9%: CAD 3,437.10 to 5,255.40
Store submission 5.2%: CAD 9,406.80 to 14,383.20
Offline sync tested on a vessel or site 7.7%: CAD 13,929.30 to 21,298.20
Catch reconciled against a past season 7.7%: CAD 13,929.30 to 21,298.20
Launch 7.7%: CAD 13,929.30 to 21,298.20
Holdback, 30 days after launch (10%): CAD 18,090 to 27,660

Start from this example

Example projectWeb appBot with a web dashboard

Pen and tank monitoring

Hypothetical. Not a client, not a result.

// The problem

A salmon farm with several sites reads oxygen, temperature and feeding on separate screens, and a low-oxygen alarm at night depends on someone looking at the right one.

// What we would build

A web dashboard that reads oxygen, temperature and salinity sensors at every pen and tank through gateways at each site, keeps the history when the site link drops, and sends alarms to the on-call staff on Telegram, who acknowledge them from the bot. Alarm limits are the ones your farm manager and veterinarian set.

// What is in it

Oxygen, temperature and salinity by pen and tank, live
Edge gateways at each site that keep readings when the link drops
Alarms on Telegram to the on-call person, acknowledged from the bot
Escalation to the next person when an alarm is not acknowledged
History and trends by pen, site and season
Gateways listed by quantity, sensors from your chosen supplier

// Stack

Next.js
PostgreSQL with TimescaleDB
MQTT
Telegram Bot API
Edge gateways
AWS Canada

// estimate

Build: ≈ US$81,300 to US$124,000, delivered within 20 weeksCAD 115,700 to 176,900
Hosting: ≈ US$583 a monthCAD 830 a month
Support: ≈ US$5,010 a monthCAD 7,135 a month
Hardware: ≈ US$2,730CAD 3,890

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

Timeline by milestone

Discovery: 2.9 to 3.4 weeks
Commands agreed: 0.4 weeks
Design approved: 2.9 to 4.9 weeks
Core features: 2.4 to 3.9 weeks
Full build: 1.4 to 2.9 weeks
Working in a test server: 1.4 to 1.9 weeks
Testing and fixes: 0.4 to 0.9 weeks
Offline sync tested on a vessel or site: 0.9 to 1.4 weeks
Launch: 0.9 to 1.4 weeks

Outside our hands, and added to the calendar

Hardware delivery, after it is ordered: 2 to 6 weeks

How it is paid

Deposit 20%: CAD 23,140 to 35,380
Discovery 5.1%: CAD 5,900.70 to 9,021.90
Commands agreed 3.6%: CAD 4,165.20 to 6,368.40
Design approved 5.1%: CAD 5,900.70 to 9,021.90
Core features 15.5%: CAD 17,933.50 to 27,419.50
Full build 10.3%: CAD 11,917.10 to 18,220.70
Working in a test server 7.2%: CAD 8,330.40 to 12,736.80
Testing and fixes 5.1%: CAD 5,900.70 to 9,021.90
Offline sync tested on a vessel or site 8.7%: CAD 10,065.90 to 15,390.30
Launch 9.4%: CAD 10,875.80 to 16,628.60
Holdback, 30 days after launch (10%): CAD 11,570 to 17,690
Cellular edge gateway x 8: CAD 3,890. Billed up front, at cost, outside the milestones

Start from this example

Example projectWeb appAICustom LLM

Grading at processor intake

Hypothetical. Not a client, not a result.

// The problem

A processor sorts species and grades fish by eye at the intake line, so grades vary by shift and disputes with harvesters over grade are hard to settle.

// What we would build

A custom model fine-tuned on photos from your own intake line that suggests species and grade for each fish or tote, with the grader confirming or correcting each one, and a web screen that records grades against each delivery. The model learns from the corrections, and every change is checked against a held-back set of your photos before it goes live.

// What is in it

Photos from your intake line labelled with your graders
A model fine-tuned on your species and grades
Suggestions the grader confirms or corrects, one tap each
Grades recorded against each delivery and harvester
An evaluation on a held-back set of your photos before every change

// Stack

PyTorch
Fine-tuned vision model
Next.js
PostgreSQL
AWS GPU

// estimate

Build: ≈ US$122,000 to US$186,000, delivered within 31 weeksCAD 173,900 to 265,400
Hosting: ≈ US$6,710 a monthCAD 9,550 a month
Support: ≈ US$2,500 a monthCAD 3,565 a month

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

AI route: Custom LLM
Model running cost: ≈ US$6,530 a monthCAD 9,300 a month

Timeline by milestone

Discovery: 2.9 to 3.4 weeks
Data and evaluation plan: 0.4 weeks
Design approved: 2.4 to 3.9 weeks
Core features: 1.9 to 2.9 weeks
Full build: 1.4 to 1.9 weeks
Training: 6.4 to 10.9 weeks
Testing and fixes: 0.4 weeks
Evaluation and red-teaming: 3.9 to 4.4 weeks
Launch: 0.9 to 1.4 weeks
Production: 0.9 to 1.4 weeks

How it is paid

Deposit 20%: CAD 34,540 to 52,840
Discovery 1.5%: CAD 2,590.50 to 3,963.00
Data and evaluation plan 7.9%: CAD 13,643.30 to 20,871.80
Design approved 1.5%: CAD 2,590.50 to 3,963.00
Core features 4.6%: CAD 7,944.20 to 12,153.20
Full build 3.1%: CAD 5,353.70 to 8,190.20
Training 23.9%: CAD 41,275.30 to 63,143.80
Testing and fixes 1.5%: CAD 2,590.50 to 3,963.00
Evaluation and red-teaming 15.9%: CAD 27,459.30 to 42,007.80
Launch 1.5%: CAD 2,590.50 to 3,963.00
Production 8.6%: CAD 14,852.20 to 22,721.20
Holdback, 30 days after launch (10%): CAD 17,270 to 26,420
GPU time for training and testing, at cost: CAD 1,200. Billed up front, at cost, outside the milestones

Start from this example

Example projectWeb appAIOpen-source model

Assistant over farm records

Hypothetical. Not a client, not a result.

// The problem

Site staff on a fish farm search SOPs, feed tables and past health records spread across shared drives, and new staff call the site manager for every question.

// What we would build

An assistant that answers from the farm's own SOPs, feed tables and records and cites the document it used, on an open-source model hosted in the farm's own cloud account so the records stay private. It answers operational questions only. Health and treatment decisions stay with your veterinarian.

// What is in it

SOPs, feed tables and site records indexed and kept current
Answers that cite the document and section they come from
Only the current, approved version of each SOP is used
An open-source model served on GPUs in your own cloud account
An evaluation set of real staff questions, run before every change

// Stack

Llama or Mistral (open-source)
vLLM
PostgreSQL with pgvector
Next.js
DigitalOcean GPU

// estimate

Build: ≈ US$92,800 to US$142,000, delivered within 20 weeksCAD 132,100 to 201,800
Hosting: ≈ US$4,360 a monthCAD 6,210 a month
Support: ≈ US$1,000 a monthCAD 1,425 a month

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

AI route: Open-source model
Model running cost: ≈ US$4,190 a monthCAD 5,960 a month

Timeline by milestone

Discovery: 2.9 to 3.4 weeks
Specification and evaluation plan: 0.4 weeks
Design approved: 2.4 to 3.4 weeks
Core features: 1.4 to 1.9 weeks
Full build: 0.9 to 1.4 weeks
Working pilot: 2.9 to 5.4 weeks
Testing and fixes: 0.9 to 1.4 weeks
Launch: 0.9 to 1.4 weeks
Production: 0.9 to 1.4 weeks

How it is paid

Deposit 20%: CAD 26,360 to 40,300
Discovery 2%: CAD 2,636 to 4,030
Specification and evaluation plan 10.3%: CAD 13,575.40 to 20,754.50
Design approved 2%: CAD 2,636 to 4,030
Core features 6%: CAD 7,908 to 12,090
Full build 4%: CAD 5,272 to 8,060
Working pilot 31.1%: CAD 40,989.80 to 62,666.50
Testing and fixes 2%: CAD 2,636 to 4,030
Launch 2%: CAD 2,636 to 4,030
Production 10.6%: CAD 13,970.80 to 21,359.00
Holdback, 30 days after launch (10%): CAD 13,180 to 20,150
GPU time for training and testing, at cost: CAD 300. Billed up front, at cost, outside the milestones

Start from this example

Example projectWeb appBlockchain

Boat or pen to buyer traceability

Hypothetical. Not a client, not a result.

// The problem

Buyers ask harvesters and processors where each lot came from, and the answer is pieced together from landing slips, pen records and processor sheets passed along by email.

// What we would build

A traceability system where harvesters or farms, the processor and buyers each record their step against the lot, with each record fingerprinted on a private permissioned ledger the parties each run a node of, and a QR code on each case that shows buyers the lot's path in their language. A shared database run by the processor often does this job; the ledger helps when several harvesters, processors and buyers share one record and none wants to hold it for the others.

// What is in it

Catch or harvest, landing, processing and shipping recorded against each lot
Each step fingerprinted on a private ledger with a node for each party
A QR code on each case that shows buyers the lot's path
Buyer pages in English, French, Japanese and other languages you choose
Only what each party agrees to share is shown to buyers

// Stack

Next.js
Hyperledger Besu (private, permissioned)
PostgreSQL
S3-compatible storage
AWS Canada

// estimate

Build: ≈ US$124,000 to US$190,000, delivered within 24 weeksCAD 176,600 to 270,100
Hosting: ≈ US$492 a monthCAD 700 a month
Support: ≈ US$2,500 a monthCAD 3,565 a month

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

Timeline by milestone

Discovery: 2.9 to 3.4 weeks
Architecture: 0.4 weeks
Design approved: 2.9 to 5.4 weeks
Core features: 1.4 to 2.4 weeks
Full build: 0.9 to 1.9 weeks
Devnet: 2.9 to 4.9 weeks
Testing and fixes: 0.4 weeks
Testnet: 2.9 to 3.4 weeks
Launch: 0.9 to 1.4 weeks
Mainnet: 0.9 to 1.4 weeks

Outside our hands, and added to the calendar

Data access agreed with each partner: 1 to 4 weeks

How it is paid

Deposit 20%: CAD 35,320 to 54,020
Discovery 2.5%: CAD 4,415.00 to 6,752.50
Architecture 6.7%: CAD 11,832.20 to 18,096.70
Design approved 2.5%: CAD 4,415.00 to 6,752.50
Core features 7.5%: CAD 13,245.00 to 20,257.50
Full build 5%: CAD 8,830 to 13,505
Devnet 20.2%: CAD 35,673.20 to 54,560.20
Testing and fixes 2.5%: CAD 4,415.00 to 6,752.50
Testnet 13.4%: CAD 23,664.40 to 36,193.40
Launch 2.5%: CAD 4,415.00 to 6,752.50
Mainnet 7.2%: CAD 12,715.20 to 19,447.20
Holdback, 30 days after launch (10%): CAD 17,660 to 27,010

Start from this example

Example projectAPI

Processor systems hub

Hypothetical. Not a client, not a result.

// The problem

A processor's scales, ERP and label printers do not talk to each other, so weights are retyped, labels are checked by eye, and buyers wait for lot details by email.

// What we would build

An integration hub that takes weights from the intake and packing scales, keeps lots and orders in step with the ERP, sends lot details to the label printing system, and gives buyers an API with webhooks to pull lot and shipment data themselves. Built on each system's published API or file exchange; we check yours before we quote.

// What is in it

Weights from intake and packing scales recorded against each lot
Lots and orders kept in step with your ERP
Lot details sent to label printing, never typed
A buyer API with keys, webhooks and versioned endpoints
Retries, monitoring and a log of every message

// Stack

Node.js
PostgreSQL
OpenAPI
ERP API
DigitalOcean

// estimate

Build: ≈ US$57,900 to US$88,400, delivered within 14 weeksCAD 82,400 to 125,900
Hosting: ≈ US$176 a monthCAD 250 a month
Support: ≈ US$2,500 a monthCAD 3,565 a month

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

Timeline by milestone

API contract agreed: 2.9 to 3.9 weeks
Core resources built: 2.9 to 4.4 weeks
Security, gateway and connections: 1.9 to 2.9 weeks
Docs, SDKs and load tests: 1.4 to 1.9 weeks
Launch and first callers: 0.9 to 1.4 weeks

Outside our hands, and added to the calendar

Data access agreed with each partner: 1 to 4 weeks

How it is paid

Deposit 20%: CAD 16,480 to 25,180
API contract agreed 8.7%: CAD 7,168.80 to 10,953.30
Core resources built 26.2%: CAD 21,588.80 to 32,985.80
Security, gateway and connections 17.5%: CAD 14,420.00 to 22,032.50
Docs, SDKs and load tests 8.7%: CAD 7,168.80 to 10,953.30
Launch and first callers 8.9%: CAD 7,333.60 to 11,205.10
Holdback, 30 days after launch (10%): CAD 8,240 to 12,590

Start from this example

Example projectWeb app

Hatchery records rebuilt

Hypothetical. Not a client, not a result.

// The problem

A hatchery runs broodstock, egg, feed and mortality records in a set of Excel workbooks full of macros that one retired staff member wrote, and each new season risks breaking them.

// What we would build

A web system that replaces the workbooks with broodstock, spawning, incubation, feed, mortality and release records, reads water temperature from the existing monitoring system, moves every season's history across and checks it, and puts the figures the managers ask for on dashboards. Release criteria and health records follow the requirements your biologists and veterinarian set.

// What is in it

Broodstock, spawning, incubation, feed, mortality and release records
Water temperature read from your existing monitoring system
Every season's history moved from the workbooks and checked
Dashboards for survival, growth and feed by tank and by season
Reports in the formats your funders and managers ask for

// Stack

Next.js
PostgreSQL
Metabase or a custom dashboard
Monitoring system API
DigitalOcean

// estimate

Build: ≈ US$68,300 to US$104,000, delivered within 17 weeksCAD 97,300 to 148,800
Hosting: ≈ US$176 a monthCAD 250 a month
Support: ≈ US$2,500 a monthCAD 3,565 a month

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

Timeline by milestone

Discovery: 2.9 to 3.4 weeks
Design approved: 2.9 to 5.4 weeks
Core features: 2.4 to 3.9 weeks
Full build: 1.4 to 2.4 weeks
Testing and fixes: 0.9 to 1.4 weeks
Launch: 0.9 to 1.4 weeks

Outside our hands, and added to the calendar

Access to your monitoring system's data: 1 to 4 weeks

How it is paid

Deposit 20%: CAD 19,460 to 29,760
Discovery 7.7%: CAD 7,492.10 to 11,457.60
Design approved 7.7%: CAD 7,492.10 to 11,457.60
Core features 23.3%: CAD 22,670.90 to 34,670.40
Full build 15.5%: CAD 15,081.50 to 23,064.00
Testing and fixes 7.7%: CAD 7,492.10 to 11,457.60
Launch 8.1%: CAD 7,881.30 to 12,052.80
Holdback, 30 days after launch (10%): CAD 9,730 to 14,880

Start from this example

// by service

Go deeper on one kind of work.

Pages for the services we have the most to say about in this industry.

~/apps

Catch log apps

A catch log app for skippers that works at sea without signal, and a web system ashore that tracks catch against each licence and quota and matches landing slips to trips, for fishing companies and First Nations fisheries.

~/ai

Aquaculture AI

A custom model fine-tuned on your intake photos to suggest species and grade, and a private assistant on an open-source model that answers staff from your own SOPs and farm records.

~/chains

Seafood tracing

Harvesters, farms, processors and buyers each record their step against the lot on a private ledger they share, with a QR code on each case that shows buyers the path in their own language.

~/data

Aquaculture data

Sensor readings, feed, mortality and survival brought together from your monitoring systems and records, checked for gaps, and shown on dashboards by pen, tank, site and season.

~/automate

Processor systems

Weights from your scales, lots and orders in your ERP, lot details sent to label printing, and an API buyers pull lot and shipment data from, joined through one hub with retries and a log of every message.

~/rescue

Hatchery records rescue

Hatchery and farm records moved off macro-filled Excel workbooks and old databases onto a web system, with every season's history checked and the old files kept running until you switch.

// questions

What buyers in this industry ask us.

Do you work with fisheries and farms across Canada?

Yes. We are in British Columbia and work with fishing operators, processors, fish farms, hatcheries and First Nations fisheries anywhere; we set our working hours around yours. Prices are in Canadian dollars.

Do you give regulatory or veterinary advice?

No. We build to the requirements your advisers, fishery managers, biologists and veterinarian set.

How do payments work?

A deposit to start, then payments at agreed milestones, with 10% held until 30 days after launch. The deposit is a smaller share on larger projects.

Who owns the software and the data?

You do, once the work is paid for, including the models trained on your photos and the records we move across.

// other industries

Nearby industries.

~/agriculture

Agriculture

Farm operations apps, crop scouting with a custom vision model, sustainability credentials buyers can verify and Telegram bots for your seasonal crews.

See the examples

~/food-beverage

Food and beverage

Food safety and traceability apps, wholesale ordering apps, label review agents and shared cold-chain records on a private ledger.

See the examples

~/indigenous

Indigenous governments and organizations

Membership and administration systems, housing and maintenance, lands and referrals tracking, funder reporting with a private assistant and community-issued digital cards, all built so your community owns and controls its data.

See the examples

All industries

// where we work

Find your market.

We work from Kelowna with clients across Canada, the United States and further afield. Each market page covers working hours, hosting, the privacy law that applies, and prices in your currency.

Every market

// next

Not quite your project?

Tell us what you have in mind. We will come back to you with a range and the questions that would narrow it. Or book a call and talk it through.

Start a project Book a call