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A new Bittensor subnet is betting that risk management itself can become a decentralized network.
Endure (incubated by Subconnect) has officially launched on Bittensor as Subnet 30, positioning itself as a decentralized risk intelligence network where independent analysts compete to produce lending and risk-management parameters that are continuously scored against real-world outcomes.
The project's first application will be Forge, the first Bittensor-native money market for TAO. It will leverage Endure's network-generated risk intelligence to manage collateral and lending parameters.
"Risk should not depend on static reports, closed committees, or reputation alone," the team said in its launch announcement. "Endure turns risk intelligence into a competitive, continuously scored network."
Bringing Markets to Risk Intelligence
Financial markets rely heavily on risk assessments to determine lending terms, collateral requirements, liquidation thresholds, and capital allocation decisions.
Traditionally, those decisions are made by internal teams, consultants, governance committees, or rating agencies. Endure argues that while expertise remains valuable, the industry lacks a transparent mechanism for continuously measuring which risk models actually perform best.
The network introduces a market-based approach.
Miners submit risk intelligence, including loan-to-value recommendations, liquidation thresholds, and interest rate curves. Validators then score those submissions against actual market outcomes each epoch. Participants whose models perform best earn greater rewards, while weaker models lose influence.
The goal is to create an open performance layer for risk analysis where incentives are directly tied to accuracy instead of reputation.
Forge to Be First Testing Ground
Endure's Forge product will serve as a lending protocol and a live environment for evaluating the network's risk models.
The platform is designed as a money market for the Bittensor ecosystem, allowing users to borrow TAO against Alpha token collateral or lend TAO in pursuit of yield. Instead of relying on a centralized risk committee, key lending parameters would be determined by Endure's competing miners and validators, with miners being evaluated on two often-competing objectives: maintaining protocol safety while maximizing capital efficiency.
Parameters that are overly conservative may limit borrowing activity and leave capital unused. Parameters that are too aggressive could expose the protocol to elevated liquidation and credit risk. Endure's scoring system is designed to incentivize what it describes as the optimal balance between the two.
Forge also introduces a direct economic connection between the application and the subnet. 60% of Forge revenue will be used to buy back the subnet's Alpha token.
From Lending to Broader Financial Infrastructure
While lending is the network's initial focus, Endure's roadmap extends beyond Forge.
Future plans include expanding into additional crypto-native markets, distributing risk intelligence through APIs and integrations, and eventually supporting institutional use cases.
The longer-term vision is to build a broader intelligence layer capable of evaluating credit risk, liquidity risk, collateral risk, and portfolio-level exposures across financial markets.
According to the project's roadmap, the end goal is to create a continuously scored and transparent source of risk intelligence that can be consumed by protocols, funds, lenders, market makers, and institutions.
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