EUCLYD Raises More Than €200 Million for AI Inference Infrastructure
Sep 15, 2026
Chips
Echo Secures $15M to Develop AI-Powered Vulnerability-Free Infrastructure
Jul 31, 2025
Echo Software Inc. has raised $15 million in Seed funding to create AI-driven, vulnerability-free application infrastructure, announced in a press release. The funding round was led by Notable Capital and Hyperwise Ventures.
Echo Software Inc. has raised $15 million in Seed funding to develop AI-powered infrastructure that eliminates vulnerabilities in container base images, announced in a press release. The funding round was led by Notable Capital and Hyperwise Ventures, with additional support from SVCI.
Echo's innovative approach involves using AI agents to analyze and rebuild standard open source images, creating clean versions that maintain the original functionality while significantly reducing the attack surface. This method has reduced remediation timelines from an industry average of 120 days to just 24 hours.
The company also offers FIPS-validated images to fast-track FedRAMP compliance for cloud-based companies seeking U.S. Federal Government contracts. Echo's solutions are designed to integrate seamlessly without requiring customers to switch to non-standard operating software, making implementation straightforward.
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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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