Waterdrop Says AI Cut Complex Underwriting Time by 80% in 2025
Waterdrop Inc. released its 2025 ESG report, the company said in a press release. It reports that KEYI.AI reduced average processing time for complex health insurance underwriting by 80%, achieved 99.8% accuracy and increased response speed by 260 times.
KEYI.AI answers questions about risk assessments, underwriting recommendations, policy terms and claims procedures. Waterdrop also added AI tools to its medical crowdfunding risk controls to identify indicators such as sensitive fundraiser identity information and abnormal assets.
Waterdrop spent RMB 233 million on research and development in 2025. By the end of the year, it had filed more than 100 AI related patent applications and helped draft industry guidance on intellectual property for generative AI.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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