Delphina raises $7.5 million for AI agents that build the context behind company data
Delphina has raised $7.5 million, bringing its total funding to $15 million, in a round co-led by Radical Ventures and Costanoa Ventures, according to a press release. Angel investors include Fei-Fei Li and Nobel laureate Guido Imbens.
AI analytics tools need to know which data tables are trusted, how metrics are defined and what analysts know but never wrote down. Delphina's Context Factory hands that work to AI agents, which build a baseline from a company's data and documents in hours, fix gaps as people ask questions and send important changes to experts for approval.
Business teams now ask 73% of the questions on the platform. At Substack more than 70% of employees use it, including CEO Chris Best, and other customers include LATAM Airlines, Upstart, Udemy and Coursera. CEO Jeremy Hermann built Uber's Michelangelo machine learning platform and co-founded Tecton, which Databricks acquired. The money goes into the Context Factory and into sales and customer engineering.
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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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