AI for Alaska Seafood & Processing | Northtek

For Alaska processors, tenders & fishing operations

Your whole year happens in eleven weeks. The paperwork should not eat six of them.

Seafood operations surge from a skeleton crew to hundreds of people and back, with landings data, crew settlements, and regulatory reporting all compressed into the same window. We build agents that carry the administrative surge so your people can run the plant.

Built in Anchorage · we publish our source code · no long-term lock-in

Written by Kristian Baer, Northtek · Anchorage, Alaska · Updated 2026-08-21

The short answer

How does AI fit a seasonal seafood operation?

It absorbs the administrative surge. A processor goes from a dozen year-round staff to several hundred seasonal workers in a few weeks, and every one of them generates hiring documents, housing assignments, and payroll. At the same time landings data, fish tickets, and settlement calculations pile up against regulatory deadlines. None of that work requires judgment, all of it is deadline-bound, and hiring administrative staff for eleven weeks is difficult and expensive. Agents handle document intake, reconciliation, and drafting, and your year-round people handle the decisions. The other durable gain is off-season: buyer inquiries and specification requests get answered in hours instead of days because the product and certification data is finally searchable.

The operating reality

A compressed season with a full year of compliance obligations.

Bristol Bay, Dutch Harbor, Kodiak, and the Southeast fisheries all share the same shape: enormous throughput in a short window, a workforce that turns over completely, and reporting that does not care that you were busy.

The workforce turns over every year

Hundreds of seasonal hires means hundreds of I-9s, tax forms, housing assignments, and safety acknowledgements, chased by a small year-round team while the plant is running.

Landings data drives everything downstream

Fish tickets feed settlements, taxes, and regulatory reporting. An error found in October is far more expensive than the same error caught the day of the landing.

Crew settlements are complicated and personal

Share calculations, deductions, advances, and price adjustments are error-prone and highly visible. A settlement mistake is a crew relationship problem, not just an accounting one.

Buyers ask the same questions every year

Specifications, certifications, chain of custody, and lot traceability requests arrive constantly, and the answers live in documents nobody can search quickly.

Six workflows we build

Six things we would automate in a seafood operation.

Split between in-season surge relief and the off-season work that keeps buyers happy.

01

Landings and fish ticket reconciliation

Trigger
Fish tickets and landing records coming in from tenders and the dock.
What the agent does
Reconciles ticket data against scale records and delivery documents, and flags discrepancies in weight, grade, or species while the delivery is still fresh.
What lands in your system
Clean landings data with a same-day exception list, instead of a reconciliation problem discovered at settlement.

02

Crew settlement preparation

Trigger
End-of-trip or end-of-season settlement calculations.
What the agent does
Assembles share calculations from landings, prices, deductions, and advances, and produces a plain-language statement that explains how the number was reached.
What lands in your system
A settlement statement a crew member can actually understand, plus an exception list for anything that did not reconcile.

03

Seasonal hiring document chase

Trigger
A wave of seasonal hires with incomplete paperwork before travel.
What the agent does
Tracks which documents are missing per hire, sends the specific request rather than a generic reminder, and validates completeness on return.
What lands in your system
A live readiness list by person, so nobody boards a flight to Naknek with an incomplete file.

04

Regulatory reporting preparation

Trigger
State and federal reporting deadlines during and after the season.
What the agent does
Assembles the required data from landings and production records, checks it for internal consistency, and flags what looks wrong before it is filed.
What lands in your system
A prepared submission package with an exception list, so your team reviews rather than compiles.

05

Buyer inquiry and specification response

Trigger
A buyer asking about specifications, certifications, lot traceability, or chain of custody.
What the agent does
Searches your product, certification, and production records and drafts the response with the supporting documentation attached.
What lands in your system
A drafted, documented reply the same day instead of a week of internal forwarding.

06

Cold chain exception monitoring

Trigger
Temperature and handling records from storage and transit.
What the agent does
Watches for excursions and gaps in the record, and assembles the documentation package when a lot needs to be investigated or defended.
What lands in your system
Early notice of an excursion and a complete evidence package if a buyer ever questions a lot.

First 30 days

We build in the off-season and go live before the run.

Nobody should be deploying software during a Bristol Bay run. The build happens between November and March, and the season is the test.

01

Rebuild last season on paper

We take last season’s actual data and trace where reconciliation broke, where settlements were corrected, and how many hires arrived with incomplete files.

02

Build and test against last season

The agents run against real prior-season data, which means we can measure accuracy on known outcomes before a single fish is landed.

03

Go live before the surge, with a manual fallback

Deployment happens weeks before the run, with your existing process still fully available. If anything degrades under load, you fall back without drama.

What you own at day 30

A reconciliation and settlement agent tested against your own prior season, an accuracy report on known outcomes, the source code and configuration, and a documented manual fallback your plant manager can trigger without calling us.

What we built, in the open

You get one run a year. The software has to be boring by then.

A season is the least forgiving deployment environment there is: peak throughput, a workforce that has never seen the system, and no second attempt. What makes that survivable is not clever engineering during the run, it is having measured the thing against last year's real data months earlier.

  • FACTGATE

    A verification gate that checks a reconciled figure against the ticket behind it. On landings data, catching a mismatch the day of delivery is worth more than any amount of downstream reporting.

  • GENOME

    Our own memory server, offline mode included. Dutch Harbor, Naknek, and a tender at anchor are normal cases, and a system that assumes connectivity is a system that fails during the run.

  • Kryos

    A language built so an agent's steps are readable. When a crew member questions a settlement, the calculation path is something a person can walk through with them.

Public, with the benchmark harness. It is why we will quote you an accuracy figure from your own prior season instead of an assurance.

Scope, stated up front

Three things this does not do

A season is unforgiving, so the honest limits matter more here than the feature list. Three of them.

  • It will not resolve a disputed landing

    When a captain and a plant disagree about a weight, that is a conversation between people. The agent makes the evidence available faster, which usually shortens the conversation.

  • It does not set prices

    Ex-vessel price decisions are commercial and relational. We build the calculation and the statement, not the number at the top.

  • We do not deploy mid-run

    If you come to us in June, we build against the season in progress and go live before the next one. Your season is the one thing that cannot be repeated, and we protect it rather than gamble with it.

Where your data goes

Four commitments that go in the agreement

Landings and settlement data are financial records with a regulatory tail. Four commitments we put in the agreement.

  • Landings, production, and crew payroll data stay in systems you control and are never used to train a model.
  • Every settlement figure traces to the fish tickets, prices, and deductions behind it, so a crew conversation is about the calculation rather than about trust.
  • Everything queues locally and syncs when a connection is available, at the plant and on the water.
  • We build and test against the season you just finished, and go live weeks before the next one with your existing process still fully available as a fallback.

Straight answers

Does this work with eLandings?+

We work alongside it. The reconciliation and exception detection happen on your side, against the data going in and the records coming out. We are not replacing a state reporting system and we would not propose to.

Our season is eleven weeks. Is a build worth it?+

The eleven weeks are exactly why it is. Compression is what makes the administrative load expensive: the same volume spread over a year is absorbable, and concentrated into a run it is not. A large processor with hundreds of seasonal hires and thousands of landings gets the biggest return, and a smaller operation gets a scoped-down build sized to its volume rather than the full stack.

Can crew members understand the settlement statement?+

That is the point of building it. The statement shows the calculation path in plain language: landings, prices, deductions, advances, and the resulting share. Settlement disputes are usually about not understanding the number rather than the number being wrong.

What about connectivity at the plant and on tenders?+

Everything queues locally and syncs when a connection is available. Dutch Harbor, Naknek, and a tender at anchor are all normal cases here, not edge cases, and we test them deliberately.

When should we start if we want this for next season?+

Right after the season ends. That gives us the data from the season just finished to build and test against, and months of margin before the next run. A build that starts in April is a build that will not be trusted in June.

Do you work with catcher-processors and smaller boats too?+

Yes. Catcher-processors carry the same settlement and reporting load in a smaller footprint, and the build scales down cleanly. For a single boat we scope a lighter version - settlement statements and regulatory prep - rather than the full reconciliation stack, so the cost matches the operation.

Bring us last season, not next season.

We build against data you already have and go live before the run. Sixty minutes to find out whether it is worth doing at all.

Anchorage, Alaska · info@northtek.io · (907) 903-4353