←

Vellum

Retrieve critical deal context across thousands of files instantly

Slide 1
Slide 2
Slide 3
Slide 4
Slide 5

Investment partners and M&A advisors lose over $100k annually in billable time manually searching for obscured metrics buried inside legacy data rooms, emails, and call transcripts.

Vellum creates a unified, zero-latency intelligence layer across every document, email thread, and web page an advisor visits during a deal. By continuously indexing local files and browsing history into a local private vault, dealmakers can surface exact citations and numbers in under 2 seconds. The software converts fragmented research into verified executive briefings without risking client confidentiality or sending sensitive deal data to cloud servers.

Vellum aims to become the foundational intelligence infrastructure for high-stakes corporate advisory firm workflows worldwide.

COMMENTS — Community Discussion
Loading comments...
getvellum.dest.page
#Fintech#Ops#Legal#Data
Problem
  • When I conduct due diligence on active targets, I want to retrieve buried EBITDA adjustments across 500+ data room files, but manual document search wastes 12 hours weekly per senior dealmaker.
  • Why Now: Private equity deal velocity has increased by 40% while regulatory disclosure packets have grown 3x in volume.
  • When I prepare investment memos, I want to cross-reference previous client calls with raw financials, but fragmented storage across Slack, email, and local drives causes missed deal risks.
  • When I present findings to investment committees, I want exact source citations for key assumptions, but gathering proofs takes $5k in billable analyst labor per deal.
  • Existing Alternatives: Enterprise search plugins that require cloud upload, manual keyword search across hundreds of PDFs, and unindexed local folder structures.
Solution
  • High-Level Concept: Local-first private intelligence vault for M&A and corporate advisory.
  • Continuous background indexing of local files, browser history, and transcripts with zero cloud exposure.
  • Instant semantic query engine accessible via global keyboard shortcut or executive assistant interface.
  • Automated citation builder that links every retrieved insight directly to exact page coordinates.
Distribution
  • Managing Directors and Partners at boutique M&A advisory firms with 10 to 50 employees.
  • Direct outreach to M&A heads via boutique dealmaking networks and private equity associations.
  • Inbound thought leadership targeting corporate development leads on deal efficiency and compliance.
  • Co-marketing partnerships with boutique virtual data room providers as an executive add-on.
Pricing
  • Value Ladder: Free 14-day local trial
  • $150 per seat monthly Pro tier
  • $400 per seat monthly Firm Enterprise tier.
  • One Metric That Matters [OMTM]: Total weekly search queries executed with positive citation downloads.
  • Market Sizing: SAM of 250k M&A advisors globally; targeting 2k seats in year 1 yields $3.6M ARR.
Scale Costs
  • On-device vector indexing engine optimization for massive multi-gigabyte document stores.
  • SOC2 Type II and ISO27001 compliance auditing for financial firm procurement.
  • Proprietary document parsing connectors for legacy data room file formats and scanned PDFs.
Expert Opinions
Avg: 9.3
  • Managing Director at Top-Tier Boutique Investment Bank
    9
  • Head of Legal Compliance & Data Security in Financial Services
    10
  • Partner at Global Private Equity Firm
    9
CommunityGitHub ↗
RELATED IDEAS