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We’re excited to share something we’ve been building for a while. Maple Finance (>$5B in onchain AUM) has integrated Bitpulse, our real-time risk underwriting and monitoring system, directly into its credit and operations workflows. The context: Onchain credit markets still rely heavily on manual monitoring and delayed risk signals. Hidden borrower exposure, slow risk updates, and limited stress-testing have contributed to some of the largest losses in DeFi. What we built: Bitpulse aggregates: Onchain activity

Borrower wallet behavior

Offchain financial signals

And transforms them into: Continuous risk scoring

Exposure mapping

Real-time monitoring

Stress-test simulations

Automated underwriting checks (via API)

Why Maple integrated it: The integration gives Maple real-time visibility into portfolio health, lets credit teams quantify risk instantly, and strengthens internal controls during underwriting and ongoing monitoring. From Maple’s side: “Bitpulse helps us elevate our portfolio management toolkit with best-in-class risk metrics… ultimately enhancing efficiency and risk-adjusted performance.” — Luke Farrell, Head of Trading & Originations Technical highlights: Modular risk engine

VaR + scenario analysis applied to tokenized credit

Configurable simulation framework

API-driven underwriting automation

Designed for verifiable, transparent, onchain oversight

For teams working in DeFi infra, onchain credit, or institutional risk: Would love feedback on the architecture, data pipeline, or simulation framework. Full announcement:https://www.theblock.co/press-releases/379270/maple-expands-... Happy to answer any technical questions.



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