Financial services
Governed analytics and auditable access, under one roof.
Banks, insurers and payment firms answer to a regulator for who saw what and why. The platform makes that the default: one policy engine over data, cameras and infrastructure, and one append-only audit trail that covers every access, including ours.
Why the platform, for you
The regulated institution’s hard problem is not any single pillar — it is the join. An access review has to span the lakehouse, the branch cameras and the servers at once, and a residency commitment has to hold before a workload is placed, not be reconciled afterwards. So the pillars that matter here are Identity & Access for the review and the lifecycle, the Intelligent Data OS for governed analytics that keep lineage, and Operational Intelligence for the question that crosses all of them. The infrastructure under it is ordinary cloud — servers, databases, networking — chosen so residency is decided by policy before a provider ever is.
Where it earns its place
Access reviews that span every system
One offboarding list across data, video, cloud and identity, one approval, and a revocation certificate an auditor can read — rather than four exports reconciled in a spreadsheet.
Residency decided before placement
Where a workload may run is settled by policy before a provider is chosen, so an out-of-region provisioning is blocked rather than flagged after the fact.
Governed analytics with lineage
Risk and reporting models run on an open lakehouse where every table is registered and every movement is recorded, so a figure traces back to the snapshot it came from.
The requirement, and what answers it
Evidence every access for the regulator
One policy engine and one audit chain across every pillarKeep risk analytics governed, with lineage
The open lakehouse, where every movement is recordedAnswer questions that cross systems
One governed query across footage, access and tablesDatabases that survive a node failure
Managed engines with HA and point-in-time recovery
Use cases in this sector
- Offboarding everywhereWhen someone leaves, every kind of access ends together.
- Camera-to-sign-in investigationFrom a person on camera to the badge and sign-in records, in one case.
- KYC onboarding with evidenceVerify customers with a flow you can explain and evidence you can delete.
- A sovereign, portable lakehouseKeep your data in open tables, in your region, under your keys.
- Governed GenAI over your own dataAn assistant over your documents that reads only what each person may.
- Proving access decisions to an auditorShow an auditor who could do what, who did, and why it was allowed.
- Recovering from a bad changeUndo the bad change, whichever layer it was made in.
- Incident response with approvalsOne alert queue for everything, and a response that waits for a person where it should.
Questions, answered
Where do we start?
With the join that hurts most — for most firms that is access reviews across systems, or governed analytics with lineage. Every product is self-serve at a published rate, so a first project needs no platform-wide commitment.
How does pricing work across pillars?
One credit balance, a published rate per product, and one monthly invoice. A pilot costs what the pilot uses.
Can we evidence this to our regulator?
Every access — allows and denies alike, ours included — lands on an append-only, hash-chained audit trail that you can export. The trail is a product feature, not a favour from support.