“For actuarial teams that must show exactly how a reserve was produced”
Reproducible reserves, run in minutes.
More scenario iterations per day on workstations.
- Actuarial models run in batch overnight; a change means waiting a day.
- I must show supervisors exactly which data and code produced the reserve.
- Getting customer data into a public cloud is a hard sell.
- More scenario iterations per day on workstations.
- Reserve and pricing figures are reproducible and traceable.
- Sensitive claims data stays in the perimeter.
From today to the first result.
overnight batch runs for actuarial models
A model change waits a day for the next batch run, and showing the supervisor which data and code produced a reserve takes manual work.
1 billion rows aggregated in 32.1 ms on a workstation, so scenarios iterate within the working day. Each reserve figure carries its data and code hash.
Run one reserve calculation on a workstation and compare it with the batch result.
one calculationTransactions with an audit trail built in. Step by step.
Every transaction is hashed on the way in, out-of-range amounts go to a review table, and the sealed evidence package is re-verified independently.
- FinancialRandomDataProvider
- Transaction EvidenceEvidence Collector
- Row Integrity Hash · Financial EvidenceKey Generator · Evidence Pack
- Amount Validation Gate · EPK Integrity VerifierQuality Gate · Evidence Verifier
- Valid Transactions CSV · Rejected TransactionsCSV Publisher · CSV Publisher
tx-gen → Generators.Random
evidence-collector → Forensic.EvidenceCollector
integrity-hash → ETL.KeyGen
amount-gate → Sync.QualityGate
valid-output → CSV.Publisher
rejected-output → CSV.Publisher
evidence-pack → Forensic.EvidencePack
evidence-verifier → Forensic.EvidenceVerifier- FinancialProduces 500 test transactions (seeded, repeatable).
- Transaction EvidenceHashes each row and batch into a Financial-level evidence manifest.
- Row Integrity HashAdds a keyed HMAC-SHA256 hash over amount, account and date.
- Financial EvidencePacks the manifest into a sealed evidence package.
- Amount Validation GateRange-checks amounts; failures go to a dead-letter table.
- EPK Integrity VerifierIndependently re-verifies the package.
- Valid Transactions CSVWrites accepted transactions.
A real workflow from our end-to-end test suite; the designer view is illustrated.
What you get. From the first pilot.
More scenario iterations per day on workstations.
Reserve and pricing figures are reproducible and traceable.
Sensitive claims data stays in the perimeter.
Why your tools fall short.
Legacy actuarial platforms are licence-heavy and slow to change.
Cloud grids add cost and third-party risk.
Spreadsheet-based models lack lineage.
- Supervisory scrutiny
- Cost and speed of stochastic runs
- Data-protection constraints
- Climate/catastrophe scenario volume
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.
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.
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.