VECTORIO“For integrators who rebuild the same pipeline, controls and runbook per client”
One engine to deliver, audit and hand over.
Fewer components to deliver, document and hand over.
- Every client wants it on their cloud, in their budget, within their rules.
- I rebuild the same pipelines and controls for every engagement.
- Handover fails because the client can't operate what we built.
- Fewer components to deliver, document and hand over.
- Compliance evidence is a by-product, reusable across clients.
- Prototype in the workshop, deploy on the client's infrastructure.
From today to the first result.
a different stack for every client
The same pipelines and controls are rebuilt for each engagement, and handover stalls when the client cannot operate the result.
One engine for ETL, streaming, analytics and orchestration: a 21-stage workflow runs 103 million rows in 24.4 s, and the compliance evidence is a by-product you reuse.
Deliver your next client's pipeline as a signed workflow file beside the existing stack.
one engagementeDiscovery: find, redact, produce. Step by step.
Documents are read, filtered by keyword, redacted and produced as a sealed package for the other side or the court.
- Document ReaderDocuments.Subscriber
- Row FilterETL.Filter
- PIIRedactionData Masking
- EvidenceEvidence Collector
- PackageEvidence Pack
- ProduceBinary File Writer
text-extract → Documents.Subscriber
keyword-search → ETL.Filter
pii-redaction → Security.Mask
evidence-collect → Forensic.EvidenceCollector
evidence-pack → Forensic.EvidencePack
evidence-output → BinaryFile.Publisher- Document ReaderExtracts text from PDF, DOCX and text files.
- Row FilterKeeps only rows that satisfy a condition.
- PIIRedactionMasks, hashes or redacts sensitive columns.
- EvidenceHashes rows and batches into a tamper-evident evidence manifest.
- PackageSeals a manifest into a verifiable evidence package.
- ProduceWrites binary payloads as files.
A real workflow from our end-to-end test suite; the designer view is illustrated.
What you get. From the first pilot.
Fewer components to deliver, document and hand over.
Compliance evidence is a by-product, reusable across clients.
Prototype in the workshop, deploy on the client's infrastructure.
Why your tools fall short.
Big-vendor stacks have partner programmes but high client run costs.
Open-source assemblies create bespoke maintenance burdens.
Few engines address regulated/sovereign clients end-to-end.
- Sovereign and on-premises demand in EU public sector and regulated industries
- Fixed-price pressure
- Need for reusable accelerators
- Client cost sensitivity
Your pilot. Three steps.
Your data shape
Tell us what data you have, where it lives and what the result must be.
A scoped pilot
On your data and your hardware, with the success measure written down first.
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.
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.
Mid-size companies without a data team
Replace the spreadsheet chain, keep the data.
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.