MANUFACTURING · OUTDOOR & CONSUMER PRODUCTS · FISHING & MARINE

AI Automation for Fishing & Marine.

Harmony digitizes pen-and-paper lamination logs and rigging checklists, tracks every hull live, ties each HIN to its full build record, and triages dealer warranty claims with AI. One AI-native operating system over everything: your floor, your machines, and the software you already run. No rip-and-replace.

Start with a pilot ROI Calculators & Tools

THE PROCESS

First a digital transformation. Then an AI transformation.

FIG. 01 · THE TWO ARCS

ARC 1 · DIGITAL

ARC 2 · AI

Data engineering is the work.AI is what it unlocks.

THE PHASED ROLLOUT

Three phases of a digital and AI transformation.

PHASE 01

PHASE 1

Lay the Data Foundation · Digitization

Every pen-and-paper record digitized at the station, every software system connected, and all of the data unified into one live layer. The digital transformation starts here.

PHASE 02

PHASE 2

Production & Operations Scale

Factory operations turn proactive: live sensors and machine data, the AI scheduling board, predictive maintenance before failure.

PHASE 03

PHASE 3

AI-Native Operations

Agents across the floor and the back office act on the live layer: quality signals, reports, copilots. Humans approve.

AI USE CASES

Twelve ways the AI layer earns its keep.

Index · 11 use cases

U1

Paperwork Digitization

Use case 01 · PEN, PAPER & EXCEL

Problem. Lamination logbooks, resin batch sheets, paper rigging checklists, a yard whiteboard tracking which hull sits where, and build schedules in Excel. Keyed in a day later or never read at all.

Harmony AI Solution. Captured once at the mold and the bench on tablets. AI flags an out-of-range catalyst ratio the moment it is written.

U2

Live Machine Data

Use case 02 · LIVE MACHINE DATA

Problem. Cure temps on a chart recorder, dispense ratios on the machine, CNC cycle counts on the HMI. Nobody sees them next to the defects they cause.

Harmony AI Solution. Direct PLC and sensor connections, any brand, via OPC UA or whatever the machine speaks.

U3

In-Line Quality Intelligence

Use case 03 · IN-LINE QUALITY

Problem. Gelcoat and lamination defects surface at trim and QC, after the resin has set. The next hulls are already laid up the same way.

Harmony AI Solution. Every defect captured with its context: resin lot, catalyst ratio, shop temperature and humidity, crew, mold.

U4

RFID + Serial Genealogy

Use case 04 · RFID & SERIALIZATION

Problem. Hulls in the yard tracked by memory and marker. A warranty claim on a two-year-old HIN means binders, phone calls, and guesswork.

Harmony AI Solution. RFID on hulls, molds, and rigging kits gives live location through lamination, cure, and rigging.

U5

AI Search Across All Data

Use case 05 · AI SEARCH

Problem. "Which hulls used that resin lot?" means a walk to the lamination office, a binder, and an afternoon. "What did QC record on this HIN?" means another one.

Harmony AI Solution. Answered in seconds with the source shown, across the ERP, lamination logs, machine data, and dealer emails. Natural-language questions, cited answers.

U6

AI Production Scheduling

Use case 06 · AI SCHEDULING

Problem. Dealer orders peak ahead of spring. Molds, crews, and cure times are juggled by hand in Excel, and one late hull cascades through the yard.

Harmony AI Solution. AI production scheduling models the constraints that matter here: mold availability, crew skills, cure times, rigging kits. The plan is proposed.

U7

Inventory + Shortage Intelligence

Use case 07 · INVENTORY

Problem. Resin drums, hardware, and rigging components counted on faith. The shortage is discovered when a hull is already sitting at rigging.

Harmony AI Solution. An AI-maintained true-stock layer for resin, hardware, and rigging components. Kit-readiness checked before a hull ever hits rigging; count drift flagged before it stops a build.

U8

Yield Optimization

Use case 08 · YIELD OPTIMIZATION

Problem. Resin and glass usage per hull is known after the fact, if at all. Trim scrap goes in the dumpster uncounted, and lay-up drift runs for a season.

Harmony AI Solution. Usage per hull versus spec, live, from the dispensing systems. Trim scrap tracked by mold.

U9

Predictive Maintenance

Use case 09 · RESOURCE INTELLIGENCE

Problem. A cure oven fails in February and the spring build schedule fails with it. PM windows get skipped to protect the seasonal schedule, which is exactly what puts it at risk.

Harmony AI Solution. Mold and oven memories with history, criticality, and live status. Protected PM windows only the owner can move.

U10

Back-Office AI Automations

Use case 10 · FULL-SCOPE AI AGENTS · FINANCE, SALES, PROCUREMENT, LOGISTICS

Problem. Claims arrive as dealer emails and photos. Someone reads each one, hunts down the build record, and decides from memory.

Harmony AI Solution. Full-scope AI agents run the workflows across financial, sales, procurement, and logistics: deductions and AR worked automatically, POs parsed from the inbox, and reports written before the morning meeting.

Scope. Financials, sales, procurement, and logistics automations, in the same platform.

U11

Tribal Knowledge + SOPs

Use case 11 · KNOWLEDGE CAPTURE

Problem. The veteran who can read a chop pattern by ear, and the rigger who knows every wiring quirk by model year, are retiring. Their manual lives in their heads.

Harmony AI Solution. Walk the floor, record, index. Anyone asks at the station and gets the answer in the veteran's own words.

01 / 11

YOUR LIKELY STACK

The systems and machines we meet on your floor.

SYSTEMS

NetSuiteEpicorIQMS / DELMIAworksHomegrown Access databasesDealer portalsExcelCustom appsLocal servers

MACHINES

Magnum Venus Products chop/spray systemsC.R. Onsrud CNC routersHaas CNCCure ovensGel and resin dispensing systemsRFID infrastructure

You might run any of these. Or none of them. Harmony is software and hardware agnostic, and we connect live machine data from any PLC brand and any software or custom app.

AI AGENTS

Agents that watch, flag, and act. Humans decide.

HIN Genealogy Agent

Resin Lot Tracer

Cure Cycle Watch

Warranty Claim Triage

Dealer PO Parser

Kit Readiness Agent

Season Ramp Planner

AR + Collections Copilot

Morning Report Writer

Custom Agents, built for your floor and back office

THE PATTERN WE SEE

The problems we see on every fishing & marine floor, and why they happen.

The ERP, dealer portal, and floor records never connect

The ERP, the dealer portal, and the homegrown Access database each keep their own records and do not connect.

Records live on paper, so nothing can be searched

Lamination logbooks, resin batch sheets, and rigging checklists are on paper, the yard board is a whiteboard, and the build schedule is in Excel.

The schedule is juggled by hand against the season

Dealer orders peak ahead of spring, so every mold, cure oven, and crew hour has to land inside that window.

Warranty claims take days, build records are in binders

A gelcoat blister comes back two years after the hull shipped, and the resin lot, catalyst ratio, cure window, and lay-up crew are in a binder somewhere, or nowhere.

The back office runs on manual work

POs are typed in from emails, invoices keyed into the ERP, deductions and AR worked from spreadsheets, and reports built by hand before the morning meeting.

THE PILOT

$15–20K. 4–6 weeks. One painful problem.

We pick one specific pain point, send engineers to live in your factory for 4–6 weeks, and solve it. One-time payment, working software by week 3, and no obligation to go further. If you do, you choose the modules that you like.

FIRST CALLSECOND CALLCHOOSE PILOTDATA ACCESS FROM ITON-SITEBUILDTESTROIREVIEW

Start with a pilot →Book a Demo →

QUESTIONS, ANSWERED

Can you build a full genealogy for every HIN?

Yes. That is the point of the digital transformation: lay-up crew, resin lot, cure window, rigging checklist, and water-test results tied to the serial as the hull moves through the floor. When a warranty claim lands years later, AI search pulls the whole build story in seconds, with sources cited.

Our schedule lives and dies by the season. Can AI actually handle that?

Season-driven demand is a constraint problem: molds, crews, cure times, and rigging kits against a dealer order book that peaks before spring. AI production scheduling models those constraints and proposes the sequence. The planner stays in charge and approves. Baseline first, then measure. Estimates are labeled as estimates.

Do you replace our ERP?

Additive by default. The AI layer sits on top of what you already run, NetSuite, Epicor, IQMS, even a homegrown Access database, and when a system deserves to be replaced, we replace it. Sometimes we're the layer on top of your MES. Sometimes we are the MES.

Can you get live data off our ovens, dispensing systems, and routers?

Yes. Direct PLC and sensor connections, Allen-Bradley/Rockwell, Siemens, Omron, Mitsubishi, or any other brand, via OPC UA or whatever the machine speaks, streamed into the AI layer in real time. Software and hardware agnostic.

How does the AI get our data?

Read-only connections, scheduled exports, or on-prem. Security is reviewed together in scoping. Read-only pilots. Every agent proposes. A person approves.

What does it cost after the pilot?

A per-plant annual platform: unlimited seats, no user fees, hardware at cost. The pilot itself is $15-20K over 4-6 weeks against one painful problem, with working software by week 3.

Do you work remotely?

No. We always start a pilot in person and on-site, with forward-deployed engineers on your floor. Very rarely do we do anything remotely.

See every hull, every stage, and every hold in real time, before the season peaks.

Start a scoping conversation →

ADJACENT FLOORS WE RUN

Firearms & Ammunition →Hunting Equipment →Camping & Coolers →Plastics & Rubber →