Tranquility AI Earns FedRAMP Class D Certification
Tranquility AI earned FedRAMP Class D certification through Knox Systems, the companies said in a press release. The certification allows federal investigators and homeland security teams to use Tranquility AI tools for evidence analysis and threat detection.
TimePilot brings records such as handwritten notes, financial documents, spreadsheets, video, audio, and mobile device extractions into one platform. Investigators can search evidence with natural language, identify links, create timelines, generate reports, and trace findings to original sources.
HelioTrace combines mobile device forensic data with open source intelligence for border and homeland security operations. It generates threat reports designed to help analysts identify criminal networks and assess potential risks.
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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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