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Vellum

Accelerate due diligence with instant structured document intelligence

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M&A analysts and legal operations teams lose over 18 hours weekly manually reformatting legacy pitch decks, complex financial spreadsheets, and scanned contracts into clean deal memos.

Vellum automatically ingests multi-format enterprise files and outputs perfectly structured, publishable intelligence across internal knowledge bases and executive portals. By retaining pristine data architecture, nested tables, and mathematical formulas, Vellum eliminates document preparation bottlenecks entirely. Organizations gain immediate clarity, seamless cross-department searchability, and bulletproof compliance audit trails across high-stakes transactions.

Vellum is setting the new standard for enterprise knowledge transformation across global financial and legal markets.

COMMENTS — Community Discussion
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#Legal#Fintech#Ops#Data
Problem
  • When I evaluate M&A target documentation, I want to convert 500-page unstructured decks into clean internal memos, but manual copy-pasting causes 18 hours of lost time and critical data errors.
  • Why Now: Enterprise adoption of private LLMs and central knowledge hubs demands pristine, structured Markdown data from legacy office file formats.
  • When I audit legacy legal contracts, I want to extract nested tables into structured formats, but standard OCR destroys table hierarchies and mathematical formulas.
  • When I onboard new corporate intelligence streams, I want to index multi-format attachments instantly, but custom parser scripts break constantly on non-standard PPTX files.
  • Existing Alternatives: Manual data entry teams, brittle open-source python scripts, expensive custom consulting engagements, and legacy OCR software.
Solution
  • High-Level Concept: Linear for enterprise document extraction and structural standardization.
  • Autonomous structural parsing engine that preserves nested financial tables, math equations, and slide layouts seamlessly.
  • SOC2 Type II compliant streaming architecture that guarantees confidential deal data never leaves secure memory.
  • Bi-directional integrations with Notion, Confluence, Salesforce, and enterprise Virtual Data Rooms for zero-click publishing.
Distribution
  • Early Adopters: Boutique M&A advisory firms, private equity due diligence teams, and corporate legal operations leads managing massive deal rooms.
  • Direct outbound targeting to Chief Information Officers and Heads of Legal Operations at mid-market private equity funds.
  • Strategic integration partnerships inside Virtual Data Room platform ecosystems like Datasite and Intralinks.
Pricing
  • Value Ladder: Free Tier ($0 for 50 pages/mo)
  • Professional ($199/mo for up to 5k pages)
  • Enterprise ($2,500/mo custom pipeline with dedicated SOC2 air-gap).
  • One Metric That Matters [OMTM]: Total structured document pages successfully converted per active workspace per week.
  • Market Sizing: SAM of 25k mid-market advisory and legal firms x $15k ARR = $375M market size; Year 1 target SOM $1.5M revenue.
Scale Costs
  • High-performance enterprise infrastructure costs for multi-threaded batch processing of multi-gigabyte document streams.
  • Continuous SOC2 Type II, ISO27001, and HIPAA compliance auditing for enterprise financial data protection.
  • Engineers specializing in low-level file parser optimization across proprietary legacy formats.
Expert Opinions
Avg: 9.5
  • world-class M&A operations lead and enterprise software strategist with $500M+ transaction experience
    9.5
  • world-famous LegalTech Chief Information Security Officer and compliance architect
    9.2
  • leading enterprise knowledge systems architect and former VP of Product at scale
    9.8
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