Petal Notes — Research Gaps & Validation

Data-Thin Petals & Research Gaps

Diagram 1: Insurance

  • Contingent Business Interruption (CBI) / Named Supplier Programs: Described as “fastest-growing specialty line” but no hard market-size figure found. Need: global CBI premium estimate (try Lloyd’s Market Association or Swiss Re Sigma reports).
  • Political Risk / Trade Disruption / Export-Control: The $5–8B estimate is inferred from multiple sources, not a single authoritative figure. Need: interview a Lockton Edge or WTW political risk broker for segment sizing.
  • Battery Performance & Warranty Insurance: Market-size estimate ($2–5B+) is rough. Need: Munich Re or Swiss Re public disclosures on battery warranty book size.

Diagram 2: Hedging

  • Semiconductor Market Data & Pricing: Most speculative petal. No hedging products exist. Need: validate whether any semiconductor price index has ever been attempted (check CME/ICE historical product filings).
  • Battery & Critical Minerals Pricing: Lithium futures are nascent (CME launched lithium hydroxide futures in 2021). Need: current open interest data from CME/LME.
  • Physical Commodity Trading Houses: “Glencore for semis” aspiration is speculative. Need: case study on how commodity trading houses built initial moats.

Diagram 3: Data Intelligence

  • Supply Chain Visibility / Control Tower: Steve Blank’s ~3,000 company estimate not independently verified. Need: narrow down which serve critical/defense industries.
  • Battery Analytics & Digital Twin: TWAICE and Accure are main named players. Need: verify Accure and NOVUM funding rounds, confirm Voltt is still active.
  • Insurance Underwriting Data Feeders: Verisk’s $35B market cap is accurate but mostly NatCat/property. Need: validate with Lloyd’s Innovation Lab whether supply-chain data feeds are on their roadmap.

Assumptions to Verify Before Presenting

  1. Lloyd’s survey statistics (88% / 81% / 81%): Verify exact source and publication date before citing to Steve Blank.
  2. IUMI global cargo premium ($22.1B, 2023): Confirm this is the latest figure.
  3. Trade credit market (~€16B premium, ~€9.25T supported): Verify if total market or just Big 3’s share.
  4. Recorded Future acquisition (~$2.65B by Mastercard): Confirm deal closed and final price.
  5. Supplyframe acquisition (~$830M by Siemens): Verify final acquisition price.
  6. Cat bond market (~$45B outstanding): Check Artemis.bm for latest.
  7. Steve Blank’s semiconductor time-decay pushback: Confirm exact framing before presenting back.

Suggested Additional Companies to Investigate

Insurance (Diagram 1)

  • Kettle (wildfire parametric, $45M raised)
  • FloodFlash (parametric flood, $15M raised)
  • Coalition (cyber MGA, $520M+ raised) — best analog for “data-advantaged MGA” model

Hedging (Diagram 2)

  • Metalshub: B2B metals marketplace with pricing data
  • Open Mineral: Digital commodity marketplace
  • CME/LME lithium futures: Get current volume/open interest data

Data Intelligence (Diagram 3)

  • Altana AI (~$200M+ raised): Direct competitor
  • Craft.co: Company intelligence platform
  • Sayari (~$80M+ raised): Supply chain risk + trade intelligence

Conflicts & Inconsistencies Across Reports

  1. TWAICE role: Appears as both insurance partner (Diagram 1) and competitor (Diagram 3). Needs explicit resolution.
  2. Market size estimates: Insurance report uses premium-based sizing; hedging uses revenue-based. Not directly comparable.
  3. “~3,000 companies”: Steve Blank’s estimate, not independently verified.
  4. Compliance wedge starting vertical: Insurance report recommends BESS warranty. Intelligence report recommends semiconductor compliance. Different starting points with different customer bases.

Diagram 1 (Insurance) — Highest confidence

  1. Get LOI-level signal from one reinsurer for BESS warranty backstop
  2. Interview 3 BESS operators about telemetry-sharing willingness
  3. Map MGA licensing requirements by state
  4. Build simple BESS degradation model with public battery cycle data
  5. Study Coalition as closest analog

Diagram 2 (Hedging) — Most speculative

  1. Research failed attempts at semiconductor commodity indices
  2. Interview 5 auto-OEM procurement officers
  3. Analyze CME lithium futures volume trends
  4. Talk to GSB finance faculty about minimum conditions for new index liquidity

Diagram 3 (Data Intelligence) — Most competitive

  1. Add Altana AI and Sayari to competitive landscape
  2. Interview 3 insurance underwriters with sample supply-chain dataset
  3. Validate the “different buyer” thesis
  4. Stress-test the “data moat” claim