DataQubeDataQube

Customers

Built with regulated teams, for real analytical work.

DataQube is deployed with regulated institutions where data cannot leave the environment and every answer must stand up to review. Some customer details remain confidential; we share relevant references and technical discussions in the right context.

Global asset managerPrivate cloud deployment

A governed attribution workflow—from source data to IC pack

Attribution work often spans the warehouse, benchmark data, research files, spreadsheets, and the investment-committee deck. This representative workflow shows how an investment team can replace that fragmented process with one governed analytical record—without moving data outside its environment.

Large Asset Manager · $500bn AUM

4 days → same morning
Attribution workflow, question to review-ready deck
Scheduled workflows
Recurring analysis and committee materials rebuild on a defined cadence
Every figure traceable
Query, result set, and supporting file section retained
Workflow for regulated financial institutions

A governed path from supervisory request to defensible answer

Supervisory requests often send finance, risk, and regulatory-reporting teams searching through legacy queries, spreadsheets, prior reports, and undocumented conventions under deadline pressure. This representative workflow shows how a bank can turn that work into governed self-service—where each answer remains connected to its source data, access decision, methodology, and audit record.

Public Financial Institution · regulated LSI

Up to 70% faster
Supervisory-request turnaround
One governed platform
Finance, risk, treasury, and control functions
Evidence attached
Source data, methodology, access decision, and audit record
Workflow for life and P&C insurers

From rebuilding actuarial packs to reviewing what changed

Actuarial teams often spend the first week of every month assembling review packs from model outputs, reconciling differences, and preparing material for sign-off. This representative workflow shows how that effort can shift from manual assembly to automated preparation—leaving actuaries to focus on reviewing exceptions instead of rebuilding reports.

Insurance Provider · life & P&C

Overnight
Review pack preparation after month-end close
38+ models
Monitored through scheduled workflows
Earlier drift detection
Material changes surfaced before review meetings
Deploys in your cluster - nothing leaves

See your data answer questions - without leaving your infrastructure

Thirty minutes with an engineer: live product, deployment options, and your security team's questions answered by someone who wrote the code.

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