DATA ROOM
Startup data room software that reads what you file
Vquity's Data Room keeps every equity document (about 120 types across 8 sections) next to the cap table it supports. One unified upload classifies files before they land, AI extraction pulls parties, amounts, and dates into the cap table with every value editable and audited, and a 12-item readiness score names what diligence will ask for that you don't have yet.
One way in
Drop files. Review what was detected. Then upload.
Most startup data room software makes you file documents by hand and hope the names stay honest. In Vquity, a single Add Documents button is the entry point for everything (file upload, whole-folder import, direct AI extraction, or a manual record), and every file you drop is analyzed before it lands: document type, status, executed and expiry dates, duplicate detection against what the room already holds, and stakeholder suggestions when a name matches your cap table.
- Instant classification into the right section, shown in an editable review list
- Possible duplicates flagged before they upload, not discovered in diligence
- Fix a title, type, or date in review, and the file lands correct the first time
Version-aware uploads
The 2025 license chains to the 2024 one as v2, automatically.
Renewals are how document rooms quietly rot: the new certificate lands next to the old one and both look current. When you drop a Commercial License 2025 beside last year's, Vquity detects the renewal, chains it into the existing series with an incremented version number, and shows a "v2 of …" badge in review. Section tables keep collapsing each series to its current version, so the room reads clean while the history stays intact.
- Renewals detected at upload and chained into the existing series
- Tables show the current version; older versions are one chevron away
- Executed and expiry dates tracked per version, editable any time
The taxonomy
~120 document types across 8 sections.
Not a folder tree you invent on upload day, but a canonical registry the whole product shares.
Eight sections, ready
Corporate structure, governance, equity instruments (SAFEs, side letters, ROFR/co-sale, warrants, vesting agreements), team, IP, compliance & KYC, financials (statements, audits, budgets, bank letters), and material agreements.
One searchable picker, aliases included
The Edit dialog, upload review, and manual add all share the same grouped, searchable type picker. Aliases just work: type NDA, AoA, or SPA and land on the canonical type. Picking a type re-files the document into the right section instantly.
Files that look like files
Crisp per-format icons for PDF, Word, Excel, and images replace guess-the-attachment, and fixed column layouts keep every section table aligned no matter how long the title runs.
AI extraction you can correct
Extraction files the data. You keep the red pen.
After an upload completes, one click hands the same files to the universal AI extractor. It verifies each document's type and files the key data (parties, amounts, dates) into the cap table, with a confidence value attached to every field. And because no extractor is right every time, every extracted value in the document preview is editable in place: a correction writes back into the extraction record, and into the cap table wherever the field maps to a real column.
- Click any extracted value to fix it; corrected fields wear an "edited" chip
- Every correction records before/after values, who changed it, when, and the AI's original confidence
- Low-confidence values are surfaced for review instead of hiding in the record
Run the room
Know what you have, and what diligence will ask for.
AI Extractions center
Headline stats (extractions, source files, fields captured, low-confidence values, manual edits) over a searchable activity feed of every extraction, with per-kind and "Needs review" filters and expandable field grids showing confidence and override history.
12-item readiness score
An investor-checklist score across incorporation, constitution, licenses, registers, resolutions, cap table, instruments, ESOP, founder agreements, IP, KYC, and financials, with an expandable what's-missing view so gaps get names.
Zip download
Select any set of documents and pull them down as a single archive. The room you built for yourselves is the same room you hand to an investor's counsel.
Why startup data room software belongs inside the cap table
A standalone data room treats a signed SAFE as a file. It is not a file. It is a record with an investor, a purchase amount, a valuation cap, and a discount, and every one of those numbers also has to exist in your cap table. Keep the two systems separate and you type each number twice, which is exactly where transposition errors are born and where diligence finds them.
Vquity's bet is that the data room and the cap table should be one system. The classifier that types your upload is reading the same registry the rest of the product uses; the extractor that pulls the purchase amount is writing into the instrument record your next round will convert; the readiness score is checking the room against the same twelve items an investor's checklist will.
Worked example: one SAFE, start to filed
Drop "SAFE - Meridian Ventures.pdf" onto Add Documents. Before upload, it's classified as a SAFE Agreement, filed under equity instruments, and matched to Meridian Ventures in your stakeholder list. After upload, one click runs extraction: investor, a $250,000 purchase amount, an $8,000,000 valuation cap, and the signature date land in the record with confidence values attached. The scan read the discount as 15% at 71% confidence. You click the field, correct it to 20%, and the audit trail records the before/after, your name, the timestamp, and the original confidence. Total typing: one field.
The readiness score turns the same integration outward. Diligence requests are boringly predictable (the twelve items Vquity checks are the ones every serious checklist opens with), so instead of discovering gaps when the term sheet arrives, the score names them months earlier: no audited financials filed, KYC missing for one founder. The Academy lesson on building a due-diligence data room walks the full checklist, and our guide to a diligence-ready data room covers how reviewers actually read one.
The room also closes loops with the rest of Vquity. Documents generated in Contract Studio file straight into the Data Room tagged to their template, so the board consent behind a grant lives next to the grant. And the diff PDFs from Snapshots belong in the same room as the signed documents that authorized each change: the reconciliation and the paper, filed together.
One honest boundary: extraction drafts and files data, but it does not replace your review. Confidence values, the "Needs review" filter, and the override audit trail exist precisely so a human can check the machine's work, and prove they did. That trail is the difference between "the AI filled this in" and an answer you can stand behind in diligence.
The Data Room shipped its current form in version 1.18; the release walkthrough covers what changed. The fastest way to judge it is to load the sample company in the app, drop a few real PDFs, and watch the review list type them.
Frequently asked questions
What document types does the Data Room support?
A canonical registry of roughly 120 document types across 8 sections: corporate structure, governance, equity instruments (SAFEs, side letters, ROFR/co-sale, warrants, vesting agreements), team, IP, compliance & KYC, financials, and material agreements. A grouped, searchable type picker is shared across the Edit dialog, upload review, and manual add, and aliases like NDA, AoA, and SPA resolve to the canonical type.
What happens when I upload a file?
Every file is analyzed before anything uploads: document type, status, executed and expiry dates, duplicate detection against the existing room, and stakeholder suggestions when a name matches your cap table. All of it appears in an editable review list, so you fix a title or type before the file lands, not after.
How do renewals and versions work?
Version-aware upload detects that a new document renews an existing one: a Commercial License 2025 dropped next to the 2024 one is chained to that series with an incremented version number and a "v2 of …" badge in review. Section tables collapse each series to its current version, with older versions one chevron away.
Can I correct what the AI extracted?
Yes, that's the point. Every extracted value in the document preview is editable in place; a correction writes back into the extraction record and into the cap table where the field maps to a real column. Each correction records before/after values, who changed it, when, and the AI's original confidence, and corrected fields wear an "edited" chip. The AI Extractions center adds a "Needs review" filter for low-confidence values.
What does the diligence readiness score check?
Twelve items drawn from standard investor checklists: incorporation, constitution, licenses, registers, resolutions, cap table, instruments, ESOP, founder agreements, IP, KYC, and financials. An expandable what's-missing view names each gap, so you close them months before a term sheet. When you're ready to share, any selection of documents downloads as a single zip archive.
Move your cap table off the spreadsheet.
Shareholders to SAFEs, option grants to exit modeling. One platform, priced by the company and not the head, on web and desktop.
All modules included · No per-stakeholder pricing · Explore a seeded sample company in one click