Revi

What do they actually do

Revi builds an AI-powered platform for M&A deal origination. Customers define investment criteria (sector, geography, size, target profile), and Revi ingests web-scale sources plus curated proprietary data and runs agentic AI workflows to identify candidate companies. The product returns ranked target lists, company dossiers, and market/competitive context that deal teams use to prioritize outreach and validate theses (Revi website, YC profile).

The first version launched in September 2023, and stated users include investment banks, private equity firms, and corporate development teams. Public materials cite KPMG and PE platform teams backed by KKR, Nordic Capital, and ICG as users (YC profile).

Who are their target customer(s)

• Private equity deal teams: They need reliable, prioritized target lists and fast ways to validate theses, but manual list-building and research are slow and hard to scale. Revi targets automated target discovery and profiling (Revi website).
• Corporate development / strategic acquirers: They must find niche or distant targets and monitor multiple markets with limited bandwidth. They need continuous monitoring and concise dossiers to justify deals (Revi website).
• Investment bank origination teams: Originators need actionable lead lists and quick market context to win mandates, but traditional workflows are noisy and slow. Ranked targets and profiles help speed outreach (YC profile).
• M&A advisory and transaction teams at consultancies: Advisors must deliver rapid market screens and defensible shortlists under tight timelines, but compiling current evidence and dossiers is labor-intensive. KPMG is cited as a user, indicating this pain point (YC profile).
• Roll‑up/platform operators at PE-backed businesses: Operators need a steady stream of well‑vetted, niche add-on targets and signals across many micro‑markets, but can’t scale sourcing without many specialists. Revi emphasizes web-scale ingestion + curated data to fill this gap (Revi website).

How would they acquire their first 10, 50, and 100 customers

• First 10: Run high-touch pilots via YC/investor/founder intros with PE platforms, corporate development, and advisory groups; replace one manual origination task with measurable outputs (e.g., time-to-shortlist, number of prioritized targets) and convert to a subscription for continuous monitoring (Revi website, YC profile).
• First 50: Productize common playbooks (3–5 vertical templates), use case studies as references, and run targeted outbound to heads of origination at PE, IB, and corp dev. Support with demos/webinars and a standard onboarding package to reduce deployment friction (Revi website).
• First 100: Add channel/platform partnerships and integrate with common deal/CRM tools; hire enterprise AE/CS teams. Launch lower-friction self-serve monitoring/templates for smaller teams and use references to fuel PR and paid campaigns to the mid‑market tier.

What is the rough total addressable market

Top-down context:

The addressable market spans software and data spend for M&A deal origination and market intelligence across PE firms, investment banks/advisories, and corporate development teams. Budgets are typically allocated to data platforms, research tools, and workflow automation used in sourcing and thesis validation.

Bottom-up calculation:

Estimate ~5,000 global buyer accounts across PE firms, IB/advisory boutiques, and active corporate development organizations; assume 60% are in-scope in the near term (≈3,000) with an average ACV of ~$50k for automation + data + monitoring, yielding ≈$150M initial TAM, expanding with enterprise tiers and additional seats.

Assumptions:

• ~2,000 PE firms, ~1,500 IB/advisory boutiques, ~1,500 corporate development orgs with active M&A programs.
• 60% near-term serviceability based on ICP fit and workflow readiness.
• Average ACV ~$50k per account for ranked discovery, dossiers, and continuous monitoring; enterprise tiers could be higher.

Who are some of their notable competitors

• SourceScrub: Deal-sourcing platform that crawls public and niche sources to build curated private-company profiles for PE, corporate development, and banks; relies on a sources-first dataset with human QA.
• PitchBook: Broad private-market database for screening, benchmarking, and market intelligence; a generalist data + research platform overlapping on target discovery and context.
• S&P Capital IQ (Capital IQ): Financial and market-intelligence platform with deep company data, transaction screening, and valuation tools; strong for financials/templates, less focused on automated discovery workflows.
• Affinity: Relationship-intelligence CRM that enriches contacts, maps introductions, and manages pipelines; overlaps on origination via network paths, but is primarily CRM rather than web-scale discovery.
• CB Insights: Market and startup intelligence with predictive signals, analyst research, and watchlists; used by strategy and corporate teams for scouting and trend analysis.