InsightFinder Raises $15M to Expand AI Agent Observability Platform
InsightFinder has raised $15 million in a Series B round led by Yu Galaxy to expand its AI agent observability platform, reports TechCrunch. The North Carolina-based company, founded by CEO Helen Gu, focuses on detecting, diagnosing, and preventing issues across AI systems and IT infrastructure.
The company’s latest product, Autonomous Reliability Insights, uses unsupervised machine learning, predictive AI, and causal inference to identify root causes of performance issues in AI models and supporting systems. This approach allows InsightFinder to monitor data, models, and infrastructure together, addressing the growing complexity introduced by enterprise AI adoption.
Founded in 2016, InsightFinder’s technology is built on over a decade of academic research. Its customers include UBS, NBCUniversal, Lenovo, Dell, Google Cloud, and Comcast. The company plans to use the new funding to expand its team—currently fewer than 30 employees—and strengthen its sales and marketing operations. To date, InsightFinder has raised a total of $35 million.
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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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