01
AI PREs for Operations

Run everylike

See what every machine is doing, know what to fix before it breaks, and generate actionables for the shop floor.

CLIENTS / DELIVERY PARTNERS

The teams we build with.

Midera
BorgWarner
Spark Minda
CaneBOT
Mind-a-Mend
Enough Energy
Kikobot
ERIC Robotics
OmniWOT
Mekosha Technologies
SBFC
Zype
IWBDC Consulting
Renu
Midera
BorgWarner
Spark Minda
CaneBOT
Mind-a-Mend
Enough Energy
Kikobot
ERIC Robotics
OmniWOT
Mekosha Technologies
SBFC
Zype
IWBDC Consulting
Renu
04 VALUE-FLOW

Every pain has a number attached.

01 OEE / Throughput
OEE INDEX
START
LATEST
SCALEINDEX
90756045
OEE INDEXBASELINE

One platform, four reinforcing pillars.

SEE THE WHOLE PLANT

Dashboards + Analytics

Every line, machine, and shift on one screen — then the analytics to ask why. OEE trends, quality drift, energy per unit, cost per batch: answers your team can act on, not just charts.

  • Fleet & site rollups
  • Quality & energy analytics
  • Zone-wise breakdown
  • OEE, MTTR, MTBF trends
  • Role-based views
  • Alarms ranked by cost impact
PLANT-OPS / LINE 04FIG. 5
OEE82%↑ +2.3 VS PREV HR
UNITS / HR2840TARGET 2,900
THROUGHPUT · 24 HUNITS / MIN
−24 HNOW
Oven zone 3 trending high — PAHAG suggests bearing wear.Open work order
THE PRODUCT / FIVE SURFACES

A single pane of glass

for the whole enterprise.

Fleet-level rollups, line-level drill-downs, asset-level twins — consistent, role-based, configurable by non-technical users.

FLEET · ENTERPRISE VIEW
GLOBAL OEE
82.2%
SITES ONLINE
14/14
OPEN ALERTS
7
Plant A · Texas
86%
Plant B · Ontario
79%
Plant C · Mumbai
84%
Plant D · Milan
91%
Plant E · Sydney
72%
OFF SHEET
LINE 04 · STATIONS
MIXER
85%
OVEN
86%
COOLER
87%
PACKER
88%
THROUGHPUT · UNITS / MIN · 30 MIN
ON SHEET · CROPPED
WORK ORDERS · QUEUE
IDASSET / TASKSTATUS
48213Oven bearingIN PROGRESS
48212Cooler beltASSIGNED
48210Mixer PMSCHEDULED
48207Sensor calDONE
ON SHEET · FULL
DIGITAL TWIN · OVEN
OVEN
OVEN · ZONE 3
VIB 4.2 MM/S
SPAN1.8 M
DEPTH1.5 M
ON SHEET · CROPPED
SERVICE AGENT
Create a work order.
WO-48213 created. Assigned to R. Patel. Parts reserved.
OFF SHEET
FIVE PRODUCT SURFACES · SAME SHEET LANGUAGE AS THE REST OF THE SET
FIG. 6
DIFFERENTIATORS / COMPETITIVE BASIS

Six reasons we

win on day 90.

Six properties, not six features. Three sit in the platform — OEM semantics, OPC-UA connectivity, explainable alarms. Three sit in delivery — the closed loop, site templates, and where your data lives.

OEM intelligence built in

Native understanding of equipment families, failure modes, process flows, and OEM telemetry semantics — not generic templates.

OPC-UA first connectors

Rapid, repeatable factory connectivity for common PLCs. Vendor-agnostic, industrial-grade data standard.

PAHAG anomaly gate

Physics priors + ML produces explainable alarms engineers trust. False positives near zero, not near-infinite.

Closed-loop service

Alerts become work orders. Work orders find the right technician with the right parts. Fixes update the twin.

Turnkey site templates

Line presets and pre-trained models for common equipment. Weeks, not quarters.

Private AI options

SaaS, private AI instance, or on-prem gateway. You own your data. No vendor lock-in.

EVERY CLAIM IS MEASURED ON A PLANT LINE, NOT A DEMO RIG
FIG. 7
THE WHITESPACE / COVERAGE SURVEY

No one else unifies

the whole line.
DEPTH OF NATIVE COVERAGE
0 NONE1 PARTIAL2 STRONG3 NATIVE
HUMAN-OPS CAPABILITYREDZONEFIIXMVP ONEOUR PLATFORM
Operations daily mgmt
Equipment ticketing
Work orders + PM
Spares visibility
Purchasing (PR → PO)
Vendor mgmt on assets
Quality / compliance
Skills / training
Physics-assisted ML
Digital twin + CMMS loop
OPC-UA native ingestion
COVERAGE INDEX · MAX 3319182133
ROWS 09–10 ARE UNCOVERED BY EVERY SURVEYED VENDOR · ASSESSED FROM PUBLIC PRODUCT DOCUMENTATION · WE INTEGRATE FIRST, SUBSUME OVER TIME
FIG. 3
OUTCOMES / FIVE MEASURED RESULTS

What customers get by acting on it.

DELTA AGAINST PRE-DEPLOYMENT BASELINE
0%+
higher OEE
per line, and climbing
0%
less unplanned downtime
caught before it breaks
0%
lower maintenance cost
fix once, fix right
0×
faster troubleshooting
answers, not searches
0%
fewer defect escapes
consistent product, every batch
Not another dashboard to stare at — insights your team acts on.CLOSED LOOP
OUTCOMES OBSERVED ON DEPLOYED LINES · EACH FIGURE IS A DELTA AGAINST THAT LINE'S OWN PRE-DEPLOYMENT BASELINE
FIG. 4
CASE STUDY · INDUSTRIAL BAKERY

Why does the biscuit

have a good crumble?

A multinational OEM partnered with us to unify equipment connectivity, CMMS, and AI across end-to-end bakery lines — from mixer to packer. The goal: a single non-siloed view where production, maintenance, quality, and procurement decisions share one causal timeline.

Oven belt failures used to waste full batches. Now PAHAG catches bearing wear two shifts early, the twin generates a work order, parts reserve automatically, and a qualified technician arrives at changeover. Zero lost batch.

PROCESS LINE · MIXER → PALLETIZER
6 STATIONS
MIXEROVENCOOLERPACKERWRAPPALLETIZER
TIMELINE · ONE INCIDENT06 EVENTS
CLOCKEVENTΔ
T−36hPAHAG flags vib drift on Oven Zone 3
T−35hService agent recommends bearing inspect+1h
T−34hWO-48213 auto-created, parts reserved+1h
T−2hNext changeover window begins+32h
T+0Bearing B-3102 replaced · 42 min+2h
T+1hTwin updated, loop closed+1h
BATCH SAVED$18k
STOPS0
MTTR42 min
ONE INCIDENT ON OVEN ZONE 3 · DETECTION TO CLOSURE IN 37 HOURS · NO UNPLANNED STOP, NO LOST BATCH
FIG. 10
IDEAL CUSTOMER PROFILE / SCOPE

Built for uptime-critical

operations.

Scope is decided by telemetry depth, automation density, and whether uptime is a KPI someone already owns. Five profiles are in. Five are out — and we say so before you buy.

IDEAL FOR05 PROFILES
  • Medium–large manufacturers
    3+ automated lines, uptime dependency
  • Multi-site enterprises
    Standardized equipment across regions
  • Reliability-focused ops
    KPI-driven — OEE, MTBF, MTTR
  • Digitally transitioning plants
    Moving reactive → data-driven
  • OEM service organizations
    Scalable software-driven service model
NOT IDEAL FOR05 PROFILES
  • Small, low-automation facilities
    ROI insufficient; limited telemetry
  • Already on full Siemens/Rockwell stack
    May already own enterprise MES + predictive
  • Pure in-house platform builders
    Prefer internal control over OEM platform
  • Highly cost-constrained markets
    Limited appetite for digital OPEX
  • Plants without structured telemetry
    Insufficient data foundation
OUT OF SCOPE IS NOT A PERMANENT VERDICT · TELEMETRY MATURITY MOVES PROFILES ACROSS THE RULE · WE WILL SAY NO BEFORE WE SELL
FIG. 11
OBJECTIONS, HANDLED / REGISTER

Every real concern

has a real answer.

Five objections come up in almost every deal. They are recorded here in the customer's own words, with the answer we give in the room — not the one we give after the contract.

OBJECTION REGISTER · 05 ENTRIES
Great — we don't replace them. Offer a PoC that overlays existing telemetry and proves incremental MTTR and OEE gains in 30–60 days. Your team keeps control of the data layer; we bring OEM-aligned models and the closed loop.
EVERY ENTRY IS A REAL OBJECTION FROM A REAL EVALUATION · ANSWERS ARE THE ONES OUR SOLUTIONS ENGINEERS GIVE, VERBATIM
FIG. 12
DEPLOYMENT / FOUR-STAGE PATH

Predictable path,

predictable economics.

Four engagement stages, from proof of concept to multi-site enterprise — each with a fixed scope and a stated elapsed time.

DEPLOYMENT SEQUENCE · ONE SITE4 STAGES
01
02
03
04

PoC

4 WEEKS

Data onboarding + overlay on existing telemetry. Prove one KPI.

Pilot

60 DAYS

Predictive models on one line. Outcome-linked pricing.

Rollout

90 DAYS

Full four-pillar platform across a site. CMMS integrated.

Enterprise

QUARTERLY

Multi-site. Standardized KPIs. Private AI or on-prem options.

ENTRY POINT SUBSEQUENT STAGE
FIG. 13
THE GOLAIN VISION / STATEMENT OF INTENT
SCALE — N.T.S.
VISION · VERBATIM

Every operation in the world — factory, building, or field — runs with the intelligence of its best day, every day.

DEFINED TERM
Operations Intelligence layer
The connective tissue between physical assets and the humans making decisions above them.
MISSION · GENERAL NOTES
03 NOTES · ISSUED 2026.04

Connect in hours, not months

Any machine, device, or building streaming data the same week you sign.

Make data actionable

AI-powered operations assistants that turn telemetry into decisions people trust.

Build a platform that compounds

Every deployment makes the platform smarter for every customer.

FIG. 14
LET'S START TODAY

Build better,

Impact faster.
30 MINUTES — NO PITCH DECK

A 30-minute call with a solutions engineer — no pitch deck, just your lines on a whiteboard.

SHEET RECORDGOLAIN
ISSUE2026.04
SHEET15 OF 16 — CONTINUED
SCALE1:1 AT 1440 PX
STATUSBUILT FOR BUILDERS
Intelligent Connected Platforms, Accelerated.
© 2026 GOLAIN. ALL RIGHTS RESERVED.
GOLAIN / OPERATIONAL INTELLIGENCE FOR MANUFACTURING
CONTINUED · 15/16