2 Houston workforce solutions startups win at annual software pitch competition

winner, winner

SeekerPitch won the third annual CodeLaunch Houston. Photo by Natalie Harms/InnovationMap

The third annual CodeLaunch Houston event resulted in two winners — one chosen by the audience, the other by judges — both tackling separate issues in the future of work.

SeekerPitch, a next-generation hiring platform that provides artificial intelligence-enhanced and video technology tools to both job hunters and hiring teams, took the grant prize, which was voted on by the audience of the February 28 event. The team was supported by Honeycomb Software, which won last year's competition too with its startup partner, E360.

"In Gen Z right now, landing an interview is like winning the lottery," Ryan Reisner, president and founder of SeekerPitch, says in his pitch at the event. "And employers have their own set of problems — they're having a hard time connecting with the next generation."

iShiftX, supported by Houston-based Blue People, secured the judges' award with a tie-breaking vote. The company, founded by Landi Spearman, uses digital twin technology to provide 24/7 leadership coaching at a scalable level.

"Leaders have the biggest impact on our teams, our children, on the future, and on the next generation," Spearman says in her final appeal to judges and the audience. She called out the burnout and stress of leadership and coaching, and she pitched her tech enabled solution.

In addition to SeekerPitch and iShiftX, four other startups with their development support partners pitched, including:

The competition consisted of three rounds where two startups went head-to-head, and attendees were asked to vote for their favorite pitch. SeekerPitch, iShiftX, and Allonge Financial made it to the final round before the two winners were announced based on a final round of voting.
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BS in AI

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”

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