Auto-clean with AI
Fourteen detectors catch mixed types, broken dates, and mid-table headers. AI names the fix — you approve every cell.
Clean, analyze, visualize, and ship pitch-ready reports with AI — in one place. No more round-tripping between a spreadsheet, a notebook, a BI tool, and a slide deck.
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Select a chart type above to configure a new chart.
Pick sections in the rail, add an optional brief for tone, then generate. Edit with follow-up prompts — no round-trip to a doc tool.
Upload a dataset first to unlock export.
AI where it saves hours — auto-clean, query drafting, report narrative — and a real workspace for the craft you still own.
Fourteen detectors catch mixed types, broken dates, and mid-table headers. AI names the fix — you approve every cell.
| # | order_id | closed_at | owner | region | status |
|---|---|---|---|---|---|
| 1 | ORD 1842 | 05-01-2022 | Bob Lee CL | US-east | (empty) |
| 1 | ord-1842 | 2022-05-01 | Bob Lee CL | US-East | Unassigned |
| 2 | ORD 1901 | 11/04/25 | Alice Brown PI | EMEA | Closed |
| 2 | ord-1901 | 2025-11-04 | Alice Brown PI | EMEA | Closed |
A margin notebook next to every step. Hypotheses and Slack threads travel into the final report.
HypothesisEMEA spike is one enterprise renewal — not volume. Keep in board narrative.
Bars, lines, distributions, small multiples — tweak the SQL and the viz redraws in place.
Describe the cut in plain language. Olambus drafts DuckDB or Pandas — you edit, run, and keep it versioned.
WITH monthly AS ( SELECT region, date_trunc('month', closed_at) AS month, SUM(amount) AS revenue FROM deals WHERE status = 'closed' AND closed_at >= '2025-01-01' GROUP BY 1, 2 ) SELECT region, month, revenue, SUM(revenue) OVER ( PARTITION BY region ORDER BY month ) AS running_total FROM monthly ORDER BY region, month;
Hand-pick the charts, tables, and notes that belong in the PDF. Nothing extra ships.
Turn the bucket into a pitch-ready PDF. Pick a template, let AI draft narrative, ship with the audit trail.
Whether you live in SQL or only open Excel once a week — Olambus gets you to a stakeholder-ready report faster.
Data professionals
Clean, query, chart, and ship from one workspace. SQL for the joins, Python for the gnarly reshapes, and a report that cites the queries behind each number.
Small business owners
Drop in a Shopify export or POS dump. Ask why July was down. Ship the answer as a clean PDF — not a spreadsheet dump.
Accountants
Roll forward last quarter’s templates, drop in this quarter’s GL, and let the audit trail be your work paper. Every adjustment links to a source row.
Founders
Pull Stripe, CRM, and product metrics into one canvas. Build the cohort chart the board keeps asking for — then reuse it next month.
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Both — and a report. Olambus is one workspace where clean, SQL/Python, charts, notes, and the PDF share state. Three views of the same project, not four disconnected tools.
Free to start. No sales call. One session from messy data to meeting-ready PDF.