Product
Diligence
Every question, every answer, every contradiction.
One surface across the data room, the DDQ, the advisor workstreams, and the inbox — so the team can see what has been asked, what has been evidenced, and what no longer agrees with the underwriting.
A tracker that knows the deal
Diligence questions are objects, not rows in a spreadsheet.
- Linked to the thesis point or risk that motivated them
- Owner, workstream, requested-from, due date, and evidence state
- AI-proposed questions clearly marked apart from human-created ones
Contradiction detection
The most valuable diligence finding is the one that disagrees.
- Conflicting metrics across the CIM, the QoE, the model, and management answers
- Findings that contradict a stated underwriting assumption
- Materiality weighting, so the noise does not bury the signal
Change detection
Know exactly what moved since the last decision point.
- Source-version diffs across re-issued documents and models
- Deal-state diffs since IC, LOI, or the last time you looked
- Which assumptions each change actually affects
Numbers you can open
Financial figures keep their provenance down to the cell.
- PDF page and region, Excel sheet and cell, PowerPoint slide, Word paragraph
- Structure-preserving parsing of tables and financial statements
- Derived calculations show their formula trace, not just the result
Workbooks are read-only. Rounic reads your models; it never writes into them.