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Introducing Qlauson — Operational Quality Intelligence

The intelligence layer that shows what keeps repeating across your operations.

Your company already collects the data. Qlauson connects it across time, systems, and teams — and reveals the patterns that keep costing you.

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Board

Open (4)
DEV-042
Design History File incomplete
ISO 13485Design Controls
Critical
SM
DEV-041
Supplier X recurring material defect
SupplierManufacturing
High
JK
DEV-040
Documentation control — Clause 7.3
ISO 13485Documentation
Medium
DEV-039
CAPA verification overdue
CAPAOverdue
Critical
SM
Investigating (2)
DEV-038
Training records incomplete
TrainingSOP-0042
Low
JK
DEV-037
Supplier audit findings — MedTech GmbH
SupplierAudit
High
SM
In Review (1)
DEV-036
Internal audit finding resolved
Internal Audit
Medium
JK
Completed (3)
DEV-035
Customer complaint — Product Line C
Complaint
Medium
SM
DEV-034
Risk assessment updated
Risk
Low
JK
DEV-033
Preventive action implemented
CAPA
Low
SM
On Hold (1)
DEV-032
Supplier change — pending legal review
SupplierLegal
Medium
01 — Why this exists

Companies already have the data. Nothing connects it.

Audits, CAPAs, deviations, complaints, supplier issues — every operation produces them. They sit in different systems, owned by different teams, captured in different formats. The same failures repeat for years because no one can see across them.

One unit: records
Audits, CAPAs, deviations, complaints, supplier issues — unified as records you can reason across.
A layer, not a silo
Sits above your ERP, QMS, and audit tools. Reads from where the data already lives.
Pattern over paperwork
Surfaces what repeats — across time, sites, suppliers, and teams.
Connected data hub
Causal graph of stacked translucent cubes
02 — How it works

One layer above every system you already run.

Qlauson reads records from the tools you already use. It standardizes them, connects them across time and source, and continuously looks for what repeats. The intelligence is ambient — not another dashboard to check.

Reads from your sources
ERP, QMS, audit platforms, supplier portals, spreadsheets. Whatever holds the records.
Standardizes into records
Every audit, CAPA, deviation, complaint, or supplier issue becomes comparable.
Surfaces what repeats
Patterns across products, sites, suppliers, and time — without anyone asking.
03 — Who it's for

Operations leaders who refuse to keep seeing the same failures.

For companies operating across products, sites, and suppliers — where the cost of repetition is real, and the data to prevent it is already being collected.

Operations leaders
See what's recurring across the operation — not just what was logged this week.
Quality & risk teams
Move from record-keeping to early signal. Stop investigating the same cause twice.
Consultants & advisors
One layer across every client. Patterns no individual system can show.
MedTechFinTechMarketingConsultingQMSTransportationLogisticsEdTechLegalManufacturingEnergyMedTechFinTechMarketingConsultingQMSTransportationLogisticsEdTechLegalManufacturingEnergy
Concentric radiating rings with floating geometric solids
Proof — Pattern detection

One new record. Years of context, instantly.

Add a record. Qlauson pulls every related event across your history and shows the shape of the pattern.

DEV-072 — Calibration drift on Line 3
Status: Open
Related past deviations (3 found)
  • DEV-063Calibration drift, Line 3Closed
  • DEV-058Equipment calibration overdueClosed
  • DEV-041Measurement device giving skewed dataInvestigating
Pattern detected: Calibration issues on Line 3 have appeared 3 times in the last 6 months. Last corrective action was equipment recalibration on Mar 21.
Suggested tags:CalibrationLine 3Equipment
Suggested owner: Maya R. (handled 2 of 3 past calibration deviations)
Next step
Compliance Summary
Based on uploaded audits
Audits logged
12
Inspection points
847
Deviations found
34
Compliance rate
96%
👍 Helpful👎 Not helpful🚩 Report
Proof — Cross-entity view

One layer across every site, supplier, and client.

Each entity is its own world. Qlauson reads across all of them to show what repeats — without breaking isolation.

Open dev.
12
Time to RCA
2.4d
On-time CAPA
94%
Confidence
0.81
Deviations · this month
  • Yield drop, line 3Apr 13MR
  • Dissolution out of specApr 04DK
  • Mixing time anomalyMar 08SM
  • Sterility hold — batch B-4471Apr 11JK
  • Label print mismatchApr 14MR
  • Calibration drift, line 3Mar 21DK
  • Operator handoff delayMar 28SM
  • Supplier change verificationMar 29JK
Proof — Traceable intelligence

Every signal. Every decision. One timeline.

Human moves and machine inferences sit in the same record. Nothing is opaque, nothing is lost.

Deviation
DEV-042
Yield drop on line 3, batch B-4471
Owner
Maya R.
Status
Investigating
CAPA
CAPA-117
Confidence
0.81
Timeline
  1. Maya R. opened DEV-042 from MES alert
    Mon 09:14
  2. Qlauson scored 4 candidate causes (top: lot variance, 0.64)
    Mon 09:15
  3. Daniel K. rejected 'humidity' edge — out of spec window
    Mon 11:02
  4. Maya R. linked CAPA-117 to lot QC review
    Tue 08:30
  5. Qlauson updated graph: confidence 0.74 → 0.81
    Tue 08:32
The Surface

Calm on the surface. Intelligent underneath.

The interface stays out of the way. The intelligence runs continuously across every record your operation produces.

Records, unified

Audits, CAPAs, deviations, complaints, supplier issues — one shape, one place.

Ask in plain language

Query your operation the way you'd ask a colleague. Answers tied to real records.

Multi-entity by default

Sites, clients, suppliers, business units — separated where it matters, connected where it counts.

Lives above your stack

Reads from ERP, QMS, audit, and supplier systems. Nothing to rip out or replace.

Ambient intelligence

Patterns surface as data arrives. No dashboards to babysit, no prompts to write.

Auditable by design

Every signal traces back to the source records that produced it.

Operational quality intelligence

A new category for an old problem.

Companies have spent decades collecting quality data and almost no time connecting it. Qlauson is the layer that turns that data into operational intelligence — across systems, across teams, across time.

FIG 01
Stepped isometric bars
Process signal, denoised
Raw events become structured deviations — comparable across lines and teams.
FIG 02
Cluster of isometric cubes with directional arrows
Pattern, not noise
Repetition surfaces on its own — not buried in a report no one opens.
FIG 03
Two cubes connected by a directional arrow
Signal to source
Every pattern traces back to the exact records that produced it.
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