DataShapes AI Appoints Sarah Cuellar as VP of Strategic Partnerships

Apr 3, 2025
DataShapes AI has appointed Sarah Cuellar, a former executive with the DOD's Defense Innovation Unit, as Vice President of Strategic Partnerships to drive growth in defense and commercial markets.
DataShapes AI Appoints Sarah Cuellar as VP of Strategic Partnerships

DataShapes AI has announced the appointment of Sarah Cuellar as Vice President of Strategic Partnerships, announced in a press release. Cuellar, who previously served as Deputy Director of the Energy Portfolio for the Department of Defense's Defense Innovation Unit (DIU), will focus on developing partnerships and fostering key relationships to propel the company into its next phase of growth.

Cuellar's extensive experience includes managing over 25 energy projects with $383 million in funding at DIU, as well as overseeing multiple technology demonstrations and innovation funds. Her role at DataShapes AI will leverage her expertise in building relationships with industry stakeholders and the federal government, positioning the company as a trusted partner in both defense and commercial sectors.

DataShapes AI specializes in delivering automated, real-time electromagnetic spectrum insights for various applications, integrating advanced analytics to extract actionable intelligence from signals and waveforms.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Defense AI Brief or Daily AI Brief.

Also, consider following us on social media:

Defense AI Brief AI Brief AI Brief (X)
Free newsletter

Defense AI Brief

Your weekly intelligence briefing on the technology shaping modern warfare and national security.

AI Token Webinar

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.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.