Mothership Raised $76M, ClosedLoop a Forbes List, and More Austin Tech News

Here’s what you may have missed in the world of Austin tech news.

Written by Delilah Alvarado
Published on May. 16, 2022
Mothership Raised $76M, ClosedLoop a Forbes List, and More Austin Tech News
Photo: Mothership
Photo: Mothership

The Austin startup world saw fresh funding and recognitions last week. If you missed what happened in the Silicon Hills, keep reading for the Built In Austin weekly refresh.

Mothership raised $76M. Mothership is a freight company helping businesses make same-day deliveries by connecting the shipment to the nearest freight truck in its network. The  company’s latest funding round will be used for expanding its platform and ramping the 75-person team to between 120 and 150 employees. [Built In Austin]

Sudozi gained $4.3MSudozi helps financial leaders innovate and collaborate. The company’s seed round, led by Pear VC, will go toward scaling the team, expanding its market reach and upgrading its solution offerings. The company also announced new solutions meant to automate workflows and refine spending decisions. [Built In Austin] 

AUSTIN TECH QUOTE OF THE WEEK

“As we climb, we must pull others along with us where we can. We started Chipper with the mission of helping those hit the hardest by student debt, which are people of color.” – Chipper founder Tony Aguilar

Future 5: Chipper helps with student loan debt. Chipper is an Austin-based company founded by former financial advisor Tony Aguilar. The platform helps individuals tackle student loan debt by rounding up everyday purchases to the nearest dollar, identifying better repayment plans and seeking opportunities for loan forgiveness. Aguilar also acts as a mentor and wants to ease the gap in venture funding for minorities and women. [Built In Austin]

ClosedLoop made the AI50 list. ClosedLoop is an AI-backed healthtech company based in Austin. The AI50 List put out by Forbes highlights unique companies and startups using AI. ClosedLoop focuses on gathering data about patients to identify those who might be at high risk. [Fobes]

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