Climate Hedging Fund

Protecting the Future with Predictive Precision

The Problem

In a world increasingly shaped by climate volatility, individuals and businesses in high-risk regions are being priced out—or entirely excluded—from traditional insurance. These policies are expensive, slow to pay, and not built for the scale of systemic, climate-driven risk.

The Opportunity

Emnotion's unprecedented forecasting power. We believe this knowledge can be transformed into an accessible, dynamic, and trustless hedging mechanism — built for the age of climate uncertainty.

The Solution

A Decentralized Climate Hedging FundWe’re building a network of region-specific climate funds that allow users to hedge against fire, flood, hurricane, drought, and more — without relying on legacy insurers.

Key Innovations

Decentralized Trust: Built on blockchain with open access to past predictions and smart contract-triggered payouts.
Predictive Edge: Access to proprietary climate models with high-resolution forecasts by region and peril.
Segmented Funds: Users join specific funds tailored to their local risk (e.g. California wildfires or Florida hurricanes).
Dual Access Model:
- Users: Can view historical data, fund performance, and transparently contribute using ETH, USDC, USDT, or our native token.
- Validators: Stake to support the network and gain real-time prediction access, fees from fund management

.Transparent and Automatic

Trigger Events: Verified through oracles like NASA, NOAA, and local data APIs that will serve as oracles
Smart Payouts: When a predefined climate event occurs, payouts are automatic—no claims process, no disputes.
Trust through Auditability: All predictions and fund activity are stored immutably and publicly.

Why Now?

The cost of inaction is rising. With traditional insurance markets failing and climate risks increasing, this fund offers:

Accessibility: Protection for people without traditional insurance options.
Speed: Fast payouts via smart contracts, not paperwork.
Alignment: A model where prediction accuracy, validator incentives, and user trust are mutually reinforcing.