The Wisory Partners with IU Ventures to Apply IntelliQ-U for University Investment Evaluation

Jun 18, 2026
The Wisory has partnered with IU Ventures to use its IntelliQ-U platform for evaluating Indiana University-affiliated startups, expanding its reach into university venture and angel investment programs.

The Wisory has entered a strategic partnership with IU Ventures to support the evaluation of Indiana University-affiliated companies through its IntelliQ-U platform, announced in a press release.

The collaboration is part of The Wisory's University Program, which extends its IntelliQ Intelligence Platform to university venture and angel investment groups. IntelliQ-U provides a structured framework for assessing startups, helping investors analyze business readiness, growth potential, and execution factors.

IU Ventures will use IntelliQ-U to streamline its investment evaluation process and improve consistency in assessing opportunities from the university’s ecosystem of students, faculty, researchers, and alumni. The initiative is led by Jason Whitney, Managing Partner at The Wisory and former Chief Venture Officer at IU Ventures.

According to IU Ventures President Tony Armstrong, the platform enables the team to evaluate more companies efficiently while maintaining confidence in their decisions. The partnership aims to strengthen support for early-stage ventures emerging from Indiana University’s innovation network.

We hope you enjoyed this article

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

Also, consider following us on social media:

Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

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.