Multiple sources.
1 Golden Record.

PN OS resolves duplicate entities, conflicting values and buried evidence into governed master data.

How it works →Compare the stack
Multiplesource systems
1canonical schema
100%field level lineage
0custom ETL pipelines
Hoursnot months to deploy

The Problem.
1 entity. 5 versions of truth.

Your systems can move the data. The expensive part is deciding which version is true when the evidence conflicts.

01
Conflicting systems

Names, status, ownership and dates differ across sources.

02
Evidence changes the answer

A contract can outrank a newer timestamp.

03
Humans absorb the exceptions

Teams spend hours tracing sources and defending decisions.

World's first patent-pending
Agentic ETL Architecture.

PN OS connects the archive, orchestrates the workflow, validates the result and writes back a governed record.

4ETL stages
1operating layer
1auditable output
∞reuse across entities

How it Works.
From connection to write back.

Connect the source systems and files needed for the workflow.

Click any step
  • Connect Data
  • Workflow Builder
  • Execution
  • Write Back
Perceive Now workflow screen

Conventional ETL
vs PN OS.

Same data problem. PN OS collapses mapping, reconciliation and validation into one governed workflow.

Conventional method

6+ steps3 to 5 toolsdays to weeksmanual review loops
1
Extract

Pull files and tables from separate systems.

2
Map

Align fields and patch schema mismatch.

3
Clean

Deduplicate and normalize values.

4
Resolve

Manually inspect conflicts and evidence.

5
Validate

Review exceptions and rework edge cases.

6
Write back

Publish after review.

With PN OS

4 stages1 workflowhours to daysgoverned exceptions
1
Read

Connect data and documents once.

2
Clean

Normalize, map and resolve duplicates.

Combines conventional steps 2 and 3
3
Validate

Check evidence, score confidence and route exceptions.

Combines conventional steps 4 and 5
4
Write back

Publish the cleaned record to the target DB.

Why Perceive Now?

6 platforms. 6 jobs.
Perceive Now adds the reasoning, evidence and agent orchestration layer the traditional stack does not provide.

CapabilityPN OSFivetrandbtLakeflowInformatica MDMMatillion
Managed replication✕✓✕✓✕✓
Transformation workflows~✕✓✓~✓
Entity match and merge✓✕✕~✓~
Unstructured evidence use✓✕✕~~~
Agent orchestration✓✕✕✕✕✕
Field level explainability✓✕~~✓✕
✓ Strong fit~ Partial✕ Not core

Live ROI Calculator

A quick model for annual exception-handling value.

InputsChange numbers ↓
Formula

Annual exceptions = records × 12 × exception rate. Value released = annual exceptions × cost per exception × PN OS reduction.

Estimated value
$190,080
annual savings on exception handling
Annual records72,000
Annual exceptions14,400
Current exception cost$316,800
Break-even program budget$190,080
Model assumes savings come from automating mapping, conflict resolution and verification loops.

What a Golden Record
actually gives you.

One usable value, with the evidence and confidence needed to defend it.

Canonical value

The field downstream systems should use.

Source evidence

The records or documents that support it.

Lineage

What changed and which logic produced it.

Confidence

Whether it auto published or needs review.

Golden Record · Entity 2847

Evidence backed
Legal nameNorthstar Holdings LLCERP
Parent entityNorthstar GroupCRM
StatusActiveMaster
Last verified2026-08-27Audit
ConfidenceHigh · 0.96Rules

1 archive. 1 entity class. 1 workflow to prove the economics.

Start where reconciliation is expensive. Turn that logic into a reusable governed AI asset.

Talk to Perceive Now →Why an AI Operating System?