DataQubeDataQube

PLATFORM

Enterprise analysis is broken into too many tools.

Chat. Notebook. PowerPoint. Knowledge base. Governance. Workflow.Every handoff creates more manual work, more inconsistency, and less trust.DataQube brings them together in one governed system—so analysis stays connected from the first question to the final board deck.

One governed recordAudited by constructionBuilt for regulated teams

01Threads & notebooks

One record, three projections

Analysts think in conversations. Reviewers think in notebooks. Decision makers think in presentations.In DataQube they are the same object - read it as chat, run it as a notebook, present it as a deck - and the views can never contradict each other, because there is only one record underneath.

Drill into the Industrials drag…
warehouse.sqlas-of joined✓ evt-8f3a21
/pytop = drilldown(att, level="issuer")
  • Every answer links back to its queries, files, and reasoning
  • Analysts can continue working in Python without losing context
  • Edits create revisions; downstream results are marked stale and re-run, never silently reused
  • Long investigations remain connected in one permanent record

02Memory

Institutional memory that survives people.

The knowledge that makes analysis correct rarely lives in databases. It lives in experienced analysts' heads, buried chat threads, and forgotten presentations. When people leave, that knowledge leaves too.DataQube captures validated institutional knowledge and automatically recalls it whenever it's relevant - so every analyst starts where the last one left off.

benchmark T+1 lag · validated
  • Candidates extracted from conversations stay quarantined until a human validates them
  • When knowledge is replaced, the old version is retired immediately - and retained for audit
  • Knowledge links in context - one caveat can apply to a data source and limit a specific query
  • Zoom from broad domains down to individual memories, with the underlying query visible on each card

03Scheduled agents

Analyses that maintain themselves

Teams rebuild the same reports every week. Any thread becomes a workflow - ordered steps, pinned parameters, tool scope - and a scheduled agent runs it deterministically: same inputs, same outputs, with what changed flagged and a review-ready draft staged. No surprises in a key report.

Weekly IC PackMon 06:00
Quarterly ESG ScreenFri 07:00
ALCO Stress Pack1st of month
run #38 · parameters pinned✓ matches run #37
  • Ask for a workflow at the end of an investigation - the agent derives the steps, parameters, and tool scope from what actually ran
  • A scheduled run can only use the tools its workspace allows and the data its owner already has - scheduling never grants extra access
  • Every run, output update, and notification is audited
  • Failed runs surface in the run history with full provenance, not in a log nobody reads

04Presentations

Decks with a paper trail

Analysts spend hours updating PowerPoint every reporting cycle.Then someone asks: "Where did this number come from?"Every presentation is generated directly from the underlying analysis - so every figure remains traceable and every published version stays preserved.

draft v24
v23 published · untouched
  • Every figure on every slide traces to the query and rows that produced it
  • The version your committee received stays exactly as distributed while the next is drafted
  • Scheduled agents keep standing decks current and flag what changed since last week

05Tool catalog

Connect everything once, govern it in one place

Every new data source usually means another credential, another integration, another security review.Register data once. Apply governance once. Every workspace inherits the right permissions automatically.

DataQube Data Gateway14 toolsfirst-party
Market Data9 toolsOAuth
Risk Engine6 toolsworkload id
  • Org-level catalog with health, ownership, how each source authenticates, and per-source policies
  • Workspaces inherit tool access from an org baseline - adjust locally, and a revocation always wins instantly
  • Read-only connections enforced at the database, with mandatory row limits and timeouts

06Governance

Permissions people can use, policies auditors can read

Access control that's easy to use gets adopted; access control that's easy to audit gets approved - you need both. Day to day, access is simple levels on workspaces and notebooks. Underneath, every grant compiles to a formal policy, and org-wide rules like information barriers are authored and versioned directly.

evt-8f3a21query.execute1,842 rows
evt-a10441permission.grantesg.api · once
evt-77d0e3auth.decisionwall-crossing✗ denied
evt-b81f55agent.runweekly-ic-pack
  • An explicit deny always wins - an information barrier can't be overridden by a friendly share
  • Inherited grants are visible and traceable to their source
  • Every auth decision - especially denials - lands in the audit log
  • Org admin covers members, mapping your directory groups to roles, teams, policies, and usage
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