SoundSafe.ai
OmniusGrid by SoundSafe.ai
⚡ The correlation engine for Industry 4.0

Unleash the power
of data correlation

Spreadsheets, PDFs, photos, audio, video and live sensor feeds — one platform, one answer. Ask in plain language and get a risk-scored answer with its reasoning shown and the actions attached.

Just ask. It correlates.

"What happens if we raise Line 3 output by 20%?"

The canonical question, answered end to end.

Correlation AIlive
Reasoning — ingested files × live machine data
GO · 91
Line 3 absorbs +20% without a new bottleneck — materials hold through Q3, freight is already contracted, and Lines 1–2 cover the changeover dip. Green-light it.
Actionable insight — one click
Green-light +20% on Line 3 Kanban task → Purchasing ✓ dispatched
Causal confidence 0.0 — association shown, causation not claimed
Industry 4.0

The fourth industrial revolution runs on data.

Enterprise data — ERP orders, invoices, shipments, quality records — holds half the story. Smart machines and smart factories produce the other half. The gains come when the two meet: transparency, flexibility, better decisions.

But that data lives scattered — ERP, MES, spreadsheets, cameras, sensors.

You cannot make smart decisions with scattered data.

OmniusGrid is the solution.

Every format — Excel, PDFs, photos, audio, video, live sensors — one context

Shop floor → logistics → financials → customer, correlated end to end

Ask in plain language; get risk-scored answers with recommended actions

On arrival

Every format becomes correlated data
the moment it lands.

Excel tabs, PDFs, a whiteboard photo, live feeds — one session, one question. Nothing to wrangle into shape first, and no schema to agree on before you can ask.

XLSXSpreadsheets PDFReports & agreements JPGWhiteboard photos WAVAcoustic monitors RTSPCamera feeds LIVESensor telemetry ERPOrders & invoices

Every ERP, synced live

SAPOracleNetSuiteDynamicsOdooInforEpicorQuickBooks

Shop floor → logistics → financials → customer, correlated end to end.

Patterns you didn't know existed

Six sources. One chain of events.
Seconds, not a shutdown.

This is a real investigation surface: the question asked in plain language, and the answer that comes back correlated across every source the plant already had.

Line 3 Spindle Degradation — Cross-Source Investigation 6 sources
Why did Line 3's scrap rate jump 3.4% last week? I've added the production log, compressor report and whiteboard photo.
Critical Risk: 78.0 / 100
telemetrymaintenanceerpqualitylogisticsfinance

What happened on Line 3

Scrap rate rose 3.4% between Jul 1–7. Correlating all six sources points to a single chain of events:

Every line above carries its source file, table and row · causal confidence 0.0 — association shown, causation not claimed

No dashboards to build. No data to wrangle. Just ask — and get the correlated answer.

The surfaces you would work in

The same correlated data,
wherever the work happens.

An asset on the floor, the yard outside it and the freight between sites are usually three systems that disagree. Here they are one. Every pane below is OmniusGrid itself, running on the demo dataset it ships with.

The asset, as the people who run it see it.

A stamping press, its live alarms and the OEE the shift is judged on — one screen, not four systems.

Assets — Stamping Press #1machinery · SCH-MC250-01

Stamping Press #1

Schuler MC-250 • SCH-MC250-01machinery

Active alarms(4)

Wire feed stalled — cell held

high • WIRE_FEED_FAULT • 09/11/2026 09:39:31 PM

Discharge temperature above threshold

medium • DISCHARGE_TEMP_HIGH • 09/11/2026 08:39:31 PM

Acknowledged

Spindle bearing temperature elevated

low • SPINDLE_WARN • 09/11/2026 07:39:31 PM

Die protection tripped on misfeed

critical • DIE_PROTECTION_TRIP • 09/10/2026 09:39:31 PM

Acknowledged

OEE (last 24 hours)

Availability

91.0%

Uptime vs planned time

Performance

85.0%

Speed vs ideal cycle time

Quality

99.0%

Good units vs total (1228/1240)

OEE

78.0%

Availability × Performance × Quality

State breakdown · Last 24 hours

Execute
8h 0m
Idle
27m
Held
15m
Stopped
3m

The numbers underneath it, and the controls beside them.

Tonnage, strokes, die temperature and shut height as the press reports them — and the commands that act on what they say.

Assets — telemetry & commandPROFINET · state Execute

Latest Telemetry

press tonnage

340t

10:39:35 PM

strokes per_min

45SPM

10:39:35 PM

die temperature

61.4°C

10:39:35 PM

shut height

268.4mm

10:39:35 PM

counterbalance pressure

4.9bar

10:39:35 PM

Command Control

Stamping Press #1

State: Execute
Emergency Stop

Immediately halts all operations. Use with caution.

Range: 10 - 200

The yard, counted rather than estimated.

Trailers, dwell time and the detention it is costing right now — with the dock doors they are waiting on.

Yard Management System (YMS)4 trailers · $525 detention

Total Trailers

4

In Yard

2

Docked

1

In Transit

1

Detention Risk

2

Detention Cost

$525

Available Doors

1

Today's Appts

2

Detention Alerts (1)

GHI-3456

Swift Transportation • ZONE-A-05

$450

4h 0m excess

TrailerStatusCarrierLocationDurationDetentionContents

TR-2024-001

ABC-1234

docked
Swift TransportationDOCK-A12h 0m
$0
SL-998877

TR-2024-002

XYZ-5678

yard
Schneider NationalZONE-B-124h 0m
$75
SL-998878

TR-2024-003

DEF-9012

in transit
JB Hunt-1h 0m
$0
-

TR-2024-004

GHI-3456

yard
Swift TransportationZONE-A-056h 0m
$450
SL-998879

DOCK-A1

occupied

Occupied by:

ABC-1234

DOCK-A2

available

DOCK-B1

reserved

DOCK-B2

maintenance

And the freight moving between them.

Shipments, carriers and hours-of-service, with the telematics labelled for what they are.

Transportation Management System (TMS)3 shipments · 1 HOS violation

Total Shipments

3

In Transit

2

Delivered

0

Planned

1

Active Drivers

2

HOS Violations

1

Carriers

3

CT-PAT Cert

2

Fleet Status (simulated)

Devices

3

Active

2

Drivers

4

On Duty

2

Distance Today

1250 mi

Fuel Efficiency

7.4 mpg

ShipmentStatusCarrierRouteETAFreight

SHP-2024-0001

PO-78234

in transit
Swift Transportation

Chicago → Los Angeles

9/12/2026$2850.00

SHP-2024-0002

PO-78235

in transit
Schneider National

Denver → Dallas

9/12/2026$3200.00

SHP-2024-0003

PO-78236

planned
JB Hunt

Houston → Atlanta

9/14/2026$4500.00

One record, read four ways. The press, the trailer waiting on its dock and the shipment it is going out on are the same data — which is why the detention clock and the production schedule can finally be compared.

The three things it runs

Optimized operations. Actionable insights.
Maximum efficiency.

Optimized Operations

See the true load, health and headroom of every line — and grow on evidence, not intuition.

● LIVE Line 3 63% load
+20% headroom

63% load streaming → +20% green-lit. Capacity found, not bought.

Actionable Insights

Every answer arrives scored, with recommended actions you assign to a department in one click.

GO · 91 Approve +20% on Line 3
Kanban task → Purchasing ✓ dispatched

One approval — Purchasing and the floor move together.

Maximum Efficiency

Freight, yard and delivery capacity in one picture — commit to more volume knowing OTIF holds.

TRL-2291 · detention$325
TRL-1180 · at risk$200
TRL-3007 · released$0

Freight and yard say yes before you commit the volume.

How an account starts and grows

Documents first.
Machines when you're ready.

Most industrial AI wants sensor access on day one, which means a network conversation, an IT review and a quarter of delay. We invert it. Your enterprise data leads — it's already complete, already yours, and it already contains the answer.

1

Land — documents only

Spreadsheets, PDFs and ERP records correlated into one picture of the plant. No machine access and no network change, and eight live ERP integrations span SAP through QuickBooks.

2

Expand — the full data surface

Machine telemetry joins the picture, then camera feeds. Same engine, same contract, same vendor — no second integration project and nothing to re-procure.

3

Switch on — the Security Layer

PPE compliance, safe human-machine interaction and restricted-zone monitoring on cameras that are already installed. A different budget line and usually a different buyer, but nothing new to deploy.

What a first engagement looks like

Prove it on your own history
before it ever touches production.

You don't have to take our word for any of this, and you don't have to commit a plant to find out.

1

A 30-minute walkthrough

Bring one real question from your floor — the one that currently takes a meeting to answer. We show you what the engine does with it.

2

Five weeks on your own records

Working only from your historical data, the model has to predict at least three known past production bottlenecks. You already know the answers, so you can score us honestly.

3

A 90-day pilot on one site

Scoped before it starts, documents only to begin. Machines and cameras join later, on your schedule.