Hilbert Raises $28 Million Series A Led by Andreessen Horowitz
Hilbert, an AI startup developing tools to automate business growth decisions, has raised $28 million in a Series A round led by Andreessen Horowitz, reports Axios.
Hilbert’s platform connects data across company teams, using deep learning to structure information so that AI models can analyze it and recommend actions. The software also estimates the financial impact of those actions. Customers include Walmart, FreshDirect, Blank Street, and Levain.
The company focuses on automating data infrastructure and operations that typically require extensive manual setup. By organizing and labeling key data schemas, Hilbert creates a foundation for analytics and execution tools that support faster, more reliable growth decisions. Pricing scales with company size and data volume, with contracts ranging from hundreds of thousands to millions of dollars.
Founded by Nazli Tan and Ceyda, who previously led growth teams at Getir, Hilbert aims to help large consumer businesses and AI-native startups manage complex data environments and accelerate decision-making processes.
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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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