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About Synnax
Synnax is a decentralized credit rating network that generates corporate credit signals using the collective intelligence of independent machine learning models. Its core product, "Credit Intelligence," provides current credit scores (0-100, categorized as Superior, Strong, Fair, or Credit Concern) as well as forward-looking credit signals and probability of default based on predictive data. Unlike traditional rating agencies that rely on subjective analysis, Synnax's models are based on actual financial data, and scores are weighted by each model's historical prediction accuracy, emphasizing transparency and resistance to manipulation.
Synnax primarily serves lenders, underwriters, and investment analysts, helping them assess portfolio risk or the creditworthiness of potential borrowers. In recent months (late 2025 to early 2026), Synnax launched Synnax PRO, a platform for institutional clients offering real-time risk monitoring, customizable dashboards, and more granular financial ratio analysis. Simultaneously, the core app was upgraded, replacing the previous R-Score with a more intuitive "Probability of Default (next 18 months)" metric and enhancing historical trend charts. These updates aim to improve the forward-looking nature and usability of credit assessments, though no specific client cases or model validation data have been disclosed, leaving actual performance to be tested by the market.
Over the past six months (2026-03-05 to 2026-09-05), Synnax's key progress centered on delivering predictive credit intelligence: it launched the closed beta of Synnax PRO for institutional lenders, featuring real-time portfolio risk assessment, anonymized financial uploads, credit-signal forecasts, and probability-of-default analytics. The core app also replaced the legacy R-Score with "Probability of Default (Next 18 Months)", an ensemble output from its decentralized ML network, with historical trend tracking now available. Official priorities and roadmap emphasize expanding PRO into enterprise-grade predictive portfolio intelligence, strengthening real-time on-chain/off-chain credit risk monitoring for stablecoins and RWAs, and leveraging privacy-preserving data exchange (homomorphic encryption/obfuscation) to feed continuously updated financial datasets. Synnax also plans to scale its Lab incentive model to attract more data scientists, and to broaden global sentiment coverage, already spanning 1.18M+ respondents across 200+ countries. Overall, the trajectory is shifting from traditional static ratings toward real-time, forward-looking "credit intelligence" for global private credit markets.
近半年（2026-03-05至2026-09-05），Synnax最重要进展是推出面向机构贷方的Synnax PRO封闭测试版，提供实时投资组合风险评估、财务数据匿名上传、信用信号预测和违约概率分析；同时核心App以“未来18个月违约概率”取代原R-Score，该指标由去中心化ML网络集成预测生成，并支持历史趋势追踪。官方发展重心与路线为：将PRO扩展至企业级预测性组合智能，加强稳定币和RWA的链上/链下实时风险监控；通过隐私保护数据交换（同态加密/混淆）持续获取更新的财务数据；扩大Synnax Lab激励以吸引更多数据科学家，并提升全球情绪数据覆盖（已覆盖200多个国家/地区、118万+受访者）。整体方向是从传统静态评级转向实时、前瞻性的“信用智能”，服务全球私募信贷市场。
Synnax is a decentralized credit intelligence network. Key team members:
Alessio Quaglini (Co-Founder): Previously founded Hex Trust and Clearpool, with extensive experience in digital assets and traditional finance.
Dario Capodici (Co-Founder & COO): Formerly at Hex Trust and Citibank; holds a degree from Bocconi University.
Robert Alcorn (Co-Founder & CEO): CFA charterholder with 11+ years in fixed income, money markets, repo, sales & trading; ex-First Abu Dhabi Bank and Tradition.
Luc Froehlich (Chief Commercial Officer): Ex-Fidelity International (Global Head of Digital Assets Solutions); 24+ years in finance, including fixed income and digital assets; MSc in Blockchain from University of Nicosia.