DataNode GTM brain

DataNode builds structured event-risk products and market data infrastructure for institutional investors.

category

Prediction market structuring and event risk

market profile

  • text: Institutional investors are exploring event contracts as derivatives and need products beyond individual binary contracts.
  • text: Cross-venue access and event-driven hedging are emerging institutional infrastructure markets.

personas

  • title: Head of derivatives or structured products
    pains:
    • Translating bespoke event exposure into an understandable payout
    • Finding executable instruments across fragmented venues
  • title: Portfolio manager or risk officer
    pains:
    • Hedging an event whose exposure does not map neatly to a single contract
    • Evaluating liquidity and settlement before putting on a hedge
  • title: Market data or trading technology lead
    pains:
    • Normalizing separate venue feeds and maintaining integrations
    • Reconciling event prices and product definitions

icp

  • text: Institutional investment managers and trading desks with event-driven portfolio exposure; account size and assets under management are unverified.
  • text: Banks and derivatives desks exploring event contracts and structured payouts, especially where cross-venue access matters.

message pillars

  • text: Turn fragmented event contracts into institutional structured products.
  • text: Combine event markets with conventional derivatives.
  • text: Unify product, pricing and data access across supported venues.

objections

  • objection: Can these markets support institutional size?
    response: Examine available depth, execution and slippage for a specific proposed hedge; the product's realized capacity is not established publicly.
  • objection: How can we approve and book event exposure?
    response: Review the proposed contracts, counterparties, settlement, and regulatory treatment with the institution's risk and legal teams.
  • objection: Why not connect to each venue directly?
    response: Assess the value of a consolidated feed and structured payout against the cost of maintaining separate integrations.

competitors

  • name: Galaxy
    website: https://www.galaxy.com/newsroom/galaxy-launches-institutional-otc-prediction-markets-trading
    why: Offers institutional OTC event-market trading and multi-asset hedging.
  • name: Talos
    website: https://www.talos.com/our-solutions/prediction-markets
    why: Provides institutional prediction-market trading and event-risk hedging infrastructure.
  • name: Polymarket Institutional
    website: https://institutional.polymarket.com/
    why: Provides institutional market access and structured data feeds for its venue.

influencers

  • name: Vincent Anzalone
    url: https://datanodelabs.com
    why: Co-founder and CEO authors the site's institutional prediction markets research.

keywords

  • institutional prediction markets
  • event risk hedging
  • prediction market data API
  • structured event contracts
  • cross venue prediction market trading
  • event linked derivatives

voice

  • Quantitative and finance-literate
  • Explanatory and thesis-led
  • Concise institutional positioning

signals

  • text: A derivatives desk is evaluating prediction markets or adding event-risk hedging coverage.
  • text: A trading firm is integrating multiple prediction venues or seeking normalized event data.

pricing

model: unknown

motion

sales_led

channels

  • Website research
  • Direct access requests

confidence

medium

Founders

  • name: Vincent Anzalone
    title: Founder/CEO
    role: CEO
    bio: Founder/CEO at DataNode (YC W27). Grad studies in Data Science & Quant Finance (ETH Zurich, Columbia). BSc Finance & Applied Stats (UZH). Prediction markets believer.
  • name: Georgy Arzamanov
    title: Founder/COO
    role: COO
    bio: Founder/COO at DataNode (YC W27). MPhil Real Estate Finance (Cambridge) BSc in Economics (WU Vienna) Prediction markets believer.

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