Suade Introduces Agentic AI Ready Regulatory Reporting Platform
Suade announced in a press release that it has launched a regulatory reporting platform designed for agentic AI, positioning itself as the only platform built natively for this purpose. The system is based on an API first and open architecture to support automation, scalability, and programmable regulatory reporting.
The platform allows financial institutions to integrate AI tools and internal systems using standard authentication methods. All system activity, including AI actions, is logged to create a complete audit trail for governance and oversight. AI features are not enabled by default, allowing institutions to control their activation.
Suade’s design integrates AI directly into how institutions interact with data, calculations, and reporting workflows, rather than adding AI on top of legacy systems. The company has been building with AI and cloud readiness since 2014, providing a controlled and transparent framework for regulatory operations.
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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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