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AI-Native infrastructure for global prediction markets

A platform for turning uncertainty into markets, data and real-time probabilities — across many countries and languages, at low marginal cost.

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Why now

The category entered a new phase

$24B
monthly global volume, April 2026
Up from under $5B in September 2025
Pew Research Center, May 2026
$1B @ $22B
Kalshi Series F at $22B valuation
Company-reported: $178B annualized volume
Kalshi News, 2026
ICE → Polymarket
strategic investment up to $2B, plus $600M in 2026
Event data as financial infrastructure
ICE IR 2025 · Business Wire 2026
800K+
unique wallets per month
Volume and user base growing together
TRM Labs, 2026
The problem

Prediction markets are growing. The infrastructure is still hard to scale.

01
Good markets are expensive to create
Research, rules, sources and resolution — per market, per language.
02
Empty markets don't convert
Initial liquidity is costly and most platforms concentrate it on a few global events.
03
Local markets are underserved
The long tail of regional events has demand but no supply.
04
International expansion is hard
Language, compliance and local context don't scale manually.
05
Manual operations raise cost
Every new market adds human overhead in traditional operations.
06
Trust is earned per market
Resolution, governance and transparency decide whether users stay.
The thesis

Whoever can create, distribute, provide liquidity and resolve markets across many countries at low marginal cost wins.

AI-Native differentiation

AI is not a chatbot. It is part of the operating system.

Trend discoveryMarket creationClassificationTranslationSEOContentSocial distributionAnalyticsSupportMonitoringAssisted resolution

The advantage: lower operating cost and faster expansion.

Use of funds

Capital accelerates. It does not build from zero.

User acquisition40%Market liquidity25%Regulatory expansion15%Infrastructure10%Strategic reserve10%
Trust layer

Built for diligence

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