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Capture what your best people know before it walks out the door

HebronBee is an engine, built around a framework for capturing, digitizing, structuring and surfacing the tacit knowledge your team has already built — starting with guided interviews, and growing into the system your whole operation runs on.

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14 percent of Gen Z say they would consider a career in manufacturing.

Soter Analytics

This is a survival problem — for whichever factories don't solve it first

Imagine replacing a technician with thirty years on this line. Even with the same machine and the same SOP followed exactly, the line won't run the way it used to — and nobody can say why. That instinct existed nowhere but in that one person.

Multiply that by an entire generation retiring at once. Factories that don't capture what their people carry won't just lose productivity.

They'll lose what made them competitive in the first place.

only near 50% may get filled

the U.S. needs by 2033 3.8M jobs

Deloitte & The Manufacturing Institute, 2024

3.8M

new manufacturing jobs the U.S. may need by 2033 — nearly half could go unfilled.

Deloitte & The Manufacturing Institute, 2024

~50% at risk of staying unfilled

$1T

potential cost to the U.S. economy from the manufacturing skills gap in 2030 alone.

Deloitte & The Manufacturing Institute, 2024

One year, U.S. economy-wide

14%

of Gen Z say they'd consider a career in manufacturing

Soter Analytics

86% not considering it at all

The next advantage in manufacturing won't only belong to whoever automates fastest
It will belong to whoever keeps their knowledge when their best people leave

We put together the full picture — sources, methodology, and what it means for your operation specifically.

Capture

Not one method. A few, each built for what it captures best

Interview, guided scenario, mentor–apprentice pairing today — more added as the framework grows. Different knowledge comes out different ways, so HebronBee doesn't rely on one method alone

Below: capture in action, using the interview method.

capture — interview method — robert.chen — line 4 extruder

Robert Chen · 34 yrs · Sr. Maintenance Tech

Line 4 bearing failures. I usually catch it before the sensors do.

What do you notice before the sensors pick it up?

Robert

There's a slight change in pitch. Higher than normal. The vibration sensor doesn't flag it until it's already gotten worse.

Have you seen this exact pattern before? What happened last time?

Robert

Yeah — 2016. We replaced the bearing but the mount was actually the problem. Bearing failed again in four months. Had to re-machine the mount.

What would you want a technician checking this for the first time to check, that isn't in the maintenance manual?

Auto-extracted

Machine
Line 4 Extruder
Signal
Pitch change, pre-sensor
Category
Intuition + Judgment
Related incident
2016-04 repair
Source
Voice, 14 min
// proposed interface — illustrative, not a confirmed UI specification

Structure

Every capture becomes a linked, structured record

Not a raw transcript dumped into a folder. Each piece of knowledge is tagged to the equipment, the failure mode, the decision made, and what was tried before — so it's retrievable by someone who wasn't in the room.

knowledge record — kr-2026-0447

Bearing pitch change precedes sensor alarm

KR-2026-0447 · captured 2026-01-14

Intuition

Equipment
Line 4 Extruder — Bearing Assembly B-114
Captured from
Robert Chen, Sr. Maintenance Tech
Signal
Audible pitch change, precedes vibration sensor threshold by ~40 min
Prior attempt
2016 bearing replacement — failed again in 4 months (root cause: mount, not bearing)

"There's a slight change in pitch. Higher than normal. The vibration sensor doesn't flag it until it's already gotten worse… Bearing failed again in four months. Had to re-machine the mount."

  • Linked: KR-2016-0089 (2016 repair)
  • Linked: Asset B-114
  • 2 staff with related experience
// proposed interface — illustrative, not a confirmed UI specification

Surface

Findable at the moment someone needs it — not filed away

A technician on a 2am shift searches a symptom the way they'd describe it out loud, not the way it's labeled in a manual, and gets back what the organization has actually learned — including who's still around to ask.

search — hebron bee

Knowledge type

  • Judgment5
  • Mastery2
  • Knowledge8

Equipment

  • Line 23

Status

  • Contributor active4
  • Contributor retired3

"Has thisbefore?"

3 related records found

  • KR-2016-0089

    Bearing replacement failed after 4 months — root cause was the mount, not the bearing.

    Robert Chen · captured 2026-01-14 · retired contributor: no

  • KR-1997-0012

    Near-identical pitch-change pattern, logged informally by a technician who retired in 2019.

    Source: exit interview archive · never entered maintenance system

  • PEOPLE

    Robert Chen and Dana Ibarra have both handled this failure mode. Dana is on shift now.

    Cross-referenced from captured knowledge, not shift schedule

// proposed interface — illustrative, not a confirmed UI specification

How it works

Input, processing, output

  1. Input

    • Voice interviews (structured + free-form)
    • Video walkthroughs / demonstrations
    • Chat-based Q&A
    • Existing docs, SOPs, maintenance logs
    • Exit interviews for departing staff
  2. Processing

    • Transcription + speaker identification
    • Structured tagging (equipment, signal, decision, outcome)
    • Linking to existing incident/asset records
    • Confidence scoring on structured extraction
    • Deduplication against prior captures
  3. Output

    • Searchable knowledge records
    • Contextual surfacing at point of work
    • Short-form training clips from long interviews
    • "Who to ask" staff cross-reference
    • Exportable for onboarding / L&D use

Why Bee

Not that she won't explain
It can't be told

A bee doesn't withhold the physics of flight out of modesty. There's no version of "explain it" that exists — the knowledge was never encoded as words in the first place. It lives as motor pattern, not language.

Philosopher Michael Polanyi described the same limit in people: "We can know more than we can tell." He called it tacit knowledge — expertise that exists as pattern recognition, not as a retrievable set of rules. It isn't that your technician won't explain the sound a failing bearing makes. There often isn't a sentence to retrieve.

"How did you know to check there first?"
"You just learn."

That's thirty years of experience, compressed below the level of words. We call the space between doing and telling the Just-Know Gap — and it's what HebronBee is built to work with, not around.

One bee discovers. The hive learns.
One technician solves. The company learns.

~230 Hz wingbeat

~Leading-edge vortex

Line drawing of a honeybee seen from above, wings spread and legs extended.

No forward motion required to hover

the mechanic, not just the metaphor

A scout bee that finds a resource doesn't keep it to herself. She returns to the hive and communicates direction and distance through a waggle dance — so the whole colony can act on what one bee learned.

The same shape, a second job

Honeycomb Method

The hexagon is the most efficient shape in nature — it holds the maximum amount of honey for the minimum amount of wax spent building it. Mathematically proven optimal by Thomas Hales in 1999.

The same shape does another job here: one captured record, holding as much context as possible, instead of the same knowledge rewritten in ten documents nobody keeps in sync.

Where it connects

Sits alongside your existing systems,
not instead of them

HebronBee is not a replacement for your CMMS, MES or SCADA — it's the layer that explains the part of your operation those systems were never designed to capture.

  • CMMS asset IDs
  • SCADA equipment tags
  • MES work orders
  • Existing SOP libraries
  • HRIS (for onboarding flows)

How it gets used

Three situations this is built for

  1. New technician, week one

    onboarding

    • A new hire scans an asset tag on Line 4 during floor orientation.
    • HebronBee surfaces a 90-second clip: a veteran technician explaining the specific quirk of that machine, pulled from a longer captured interview.
    • The new hire doesn't wait for a formal training session six weeks out — the context is available the first time they're standing in front of the machine.
  2. 2am, mid-shift, something's off

    troubleshooting

    • A technician on night shift notices a symptom they don't recognize and searches it in plain language.
    • HebronBee surfaces a matching incident from 2016, a near-miss logged by a since-retired technician in 1997, and two current staff who've handled it before.
    • The technician calls the person with relevant experience directly, instead of escalating blind or guessing.
  3. 90 days before retirement

    capture

    • L&D schedules a structured series of capture sessions with a retiring senior engineer, organized around the specific systems they own.
    • HebronBee runs guided interviews that go beyond "how do I do X" to "what would you check first, and why" — reasoning, not just procedure.
    • By the last day, the engineer's judgment is a set of linked, searchable records — not a single exit interview nobody rereads.

Directions

"We work with the generation that holds the mastery and the generation that will inherit it. HebronBee was born between those two worlds."

Liliya Valihun,
Founder, HebronSoft
Read the full post on LinkedIn
Line-art portrait of Liliya Valihun.
  • research

    The Hebron Knowledge Transfer Report 2026

    Original research on retirement exposure, tacit knowledge, time-to-competency and AI readiness in U.S. manufacturing.

  • editorial

    BeeHive Code

    An interview series with Liliya Valihun, recorded around ICC 2026 — what industry veterans know now that took a career to learn.

For those who pass it on, and those who'll receive it

Knowing how to build, fix, weld or wire is becoming a real advantage in the AI era

  • Electrician
  • Machinist
  • Welder
  • Plumber
  • Maintenance tech
  • Mechanic
  • for the masters

    What you know isn't written down anywhere yet — and it could be the foundation for the next generation. HebronBee doesn't ask you to become a curriculum designer or write a manual. Just tell it once, and that becomes material other people can actually use.

    Your experience has value — and you can get paid for it.

  • for Gen Z

    While everyone worries AI is coming for their job, work with your hands is getting rarer and more valuable. This isn't the fallback if tech doesn't work out — it's an analog skill no algorithm can copy.

    Working with your hands isn't old-fashioned anymore. It's the gold of the next 20 years.

A technician soldering a circuit board at a lab bench.

Who's building this

Built inside HebronSoft's Innovation Lab, Backed by Inductive Automation

HebronSoft has been building software for manufacturing and industrial automation since 2017 — American company, engineering teams across Ukraine and Europe. HebronBee is developed inside the Innovation Lab, by the same team that ships production systems for manufacturing clients.

HebronSoft
Inductive Automation
Engineers at a lab bench with oscilloscopes, a soldering station, a whiteboard of circuit diagrams and a server rack.
  • Manufacturing expertise

    • Industrial automation is a core vertical, not a new market entry
    • Inductive Automation Credentialed Integrator
    • Siemens Authorized Integrator
    • Schneider Electric partner
    • Firebrand Award 2025 — ICC Educational Engagement
  • Operational discipline

    • ISO/IEC 27001:2022 certified
    • CSIA Social Responsibility Award 2025
    • Coupa Verified
    • 75% of clients continue beyond the first project
  • The Innovation Lab

    • HebronSoft's internal R&D arm — where HebronBee is being built
    • 20% of company profit reinvested into R&D and the Hebron IT Academy
    • Built on the same team that ships client manufacturing systems, not a separate skunkworks

See how HebronBee would work with your equipment and your people

Early access is limited to a small group of manufacturers.

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