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“For companies whose reporting depends on one person and ten spreadsheets”

Replace the spreadsheet chain, keep the data.

A single install on a workstation or small server replaces the script and spreadsheet chain.

Start a pilotHow it runs
The problem
  • Our numbers live in ten spreadsheets and nobody trusts the totals.
  • One person built the script; if she leaves, reporting stops.
  • A BI stack plus warehouse plus ETL tool is more than we can run.
With PROTOR
  • A single install on a workstation or small server replaces the script and spreadsheet chain.
  • Every figure can be traced to its inputs and reproduced for an auditor.
  • Data stays on premises; no new cloud contract.

From today to the first result.

What you do today

ten spreadsheets and a script that one person maintains

Totals differ between spreadsheets, and reporting depends on the one person who wrote the script.

With PROTOR

One install on a workstation. A 100-million-row CSV (8.9 GB) loads in 3.1 s, and every figure traces back to its inputs and reruns identically.

Your first step

Rebuild one monthly report as a workflow. The spreadsheets stay where they are and you compare both results.

one afternoon
How it runs

From exports to a clean Excel workbook. Step by step.

Exported rows are checked against a schema and written as an Excel workbook — the spreadsheet chain, automated.

PROTOR · From exports to a clean Excel workbookrunning
CSV SourceCSV SubscriberSchema ConformanceSchema ConformExcel OutputExcel Workbook Writer
  1. CSV SourceCSV Subscriber
  2. Schema ConformanceSchema Conform
  3. Excel OutputExcel Workbook Writer
nodes
csv-source → CSV.Subscriber
schema-conform → ETL.SchemaConform
excel-output → Excel.Publisher
schema enforcedExcel out
  1. CSV SourceReads rows from a CSV file in batches.
  2. Schema ConformanceEnforces required fields and safe types.
  3. Excel OutputWrites an Excel workbook.

A real workflow from our end-to-end test suite; the designer view is illustrated.

What you get. From the first pilot.

A single install on a workstation or small server replaces the script and spreadsheet chain.

Every figure can be traced to its inputs and reproduced for an auditor.

Data stays on premises; no new cloud contract.

Why your tools fall short.

×

Excel/Power Query break at volume and have no audit trail.

×

Modern-data-stack tools need data engineers and several subscriptions.

×

Consultants build bespoke pipelines that the client cannot maintain.

What drives it
  • Growth in transaction volume that outgrows Excel
  • Auditor and tax-office requests for traceability
  • Owner anxiety about key-person risk
  • Data-protection worries about cloud uploads

Your pilot. Three steps.

1

Your data shape

Tell us what data you have, where it lives and what the result must be.

2

A scoped pilot

On your data and your hardware, with the success measure written down first.

3

A clear decision

You see the result against that measure — and keep every workflow and record.

Related roles in Cost & reproducibility.

Data/analytics engineering teams fighting cloud warehouse bills

Stop paying a cluster for laptop-sized queries.

Finance & trading risk analytics

Risk numbers you can reproduce on demand.

Retail, e-commerce and quick-commerce operations

City-scale inventory analytics on one box.

System integrators and consultancies building data platforms for clients

One engine to deliver, audit and hand over.

ISVs and SaaS vendors needing an embedded analytics / ETL engine

Built into your product.

AI/ML teams

Reproducible data prep at memory speed.

Insurance analytics

Reproducible reserves, run in minutes.

Beta · design partners wanted

Bring us your hardest data problem. Let's solve it together.

A short pilot on your data and your hardware. We agree on what success looks like before we start.

Start a pilotSee the numbers