Resumes do not tell the full story as it is and it’s almost impossible for applicants to put their potential, soft skills and work personality into a document to be reviewed, but this Houston startup has a solution. Photo via Getty Images

Confident job seekers have mostly been of the mindset that if they can just get in front of an employer, they can sell themselves into an offer for the open position. The obstacle then, is getting through the screening process to get an actual interview.

Until recently, the price of admission for starting or progressing in a desired career was a resume and cover letter stellar enough to catch the eye of the human resources and recruiting team. Outside of being buried in the immense pile of resumes recruiters do not have the bandwidth to get to, standing out in the sea of candidates can be daunting.

Resumes do not tell the full story as it is and it’s almost impossible for applicants to put their potential, soft skills and work personality into a document to be reviewed. So, what’s the solution?

It is a multi-layered problem, which requires a multi-layered solution, but one of the options gaining steam in the recruitment space is provided by SeekerPitch, a Houston-based HR technology platform utilizing generative AI to make hiring and interviewing more efficient.

“I've noticed that there's a ton of people that slip through the cracks,” says Ryan Reisner, president and founder of SeekerPitch and The Reisner Group. “And we spend all our time interviewing people to see if they have the soft skills. Resumes are hard skills. And now with AI, anybody can build the same exact resume. Everybody can say they have communication skills, leadership skills, and a lot of people say they have those.

“But when it's all said and done, you interview those people to find out if they truly have them, and many of them don't have them. So, the resume is just a door opener. The door closer is the soft skills. So, with me being an underdog and growing up in underserved communities and just hoping to be found and applying to a bunch of places, I asked, what do I need to do to stand out from the crowd?”

Creating a solution

In addition to adding value during the actual interview, SeekerPitch solves the problem of feedback for applicants. Photo via SeekerPitch

That thought sparked the idea for the SeekerPitch platform and its signature feature that enables candidates to create video cover letters and skill-specific videos, allowing them to showcase their soft skills and personality.

In short, static candidate profiles come to life via SeekerPitch’s Pitch Sessions feature, which is purpose-built for job seekers to flesh out their full self and for employers to host multiple rounds of interviews with actionable insights from the platform’s generative AI to facilitate well-informed hiring decisions.

“Our product gives the employer a 30-second elevator pitch of an individual so they can interview people that are better fits for the jobs they are trying to fill,” says Reisner. “Unlike our competitors, we are normalizing ‘speed interviewing’ to maintain a more personal, holistic approach to the virtual interview.

“While the employer is interviewing the candidate in real time, the platform is transcribing the interview so the built-in AI model can give feedback such as culture fit, other mechanisms such as specific skills for a sales position and a total summary on that candidate’s ability to succeed in the role, which is enabling employers to make better hiring decisions and is vastly increasing the quality of the talent pool.”

In addition to adding value during the actual interview, SeekerPitch solves the problem of feedback for applicants.

“After the interview is completed, the employer has three choices: interested, still deciding and not interested,” adds Reisner. “And then if the employer is still deciding, it gives them a 72-hour countdown to make a decision and once that 72-hour window is over, that candidate is automatically rejected.

“What we have found is that job seekers, whether they're in the running or not, they just want to know, if they are moving forward or not. With our platform, they’re not stranded in feedback limbo for two plus weeks, so they love that part. They also like the holistic part where they're being judged off of who they are, their authenticity, and also their personality traits.”

Benefiting both sides of the equation

Ryan Reisner is the president and founder of SeekerPitch and The Reisner Group. Photo via LinkedIn

Another prime feature for employers is the video job description, which is expanding its reach with its intended audience: job seekers.

With everyone, including those in the candidate pool, now watching short-form videos on TikTok, Instagram, Snapchat, and YouTube as a lifestyle, employers can reach the next generation of the workforce using video job postings via the platform.

“Statistics show that 90 percent of job seekers don't even read job descriptions,” says Reisner. ”So, employers are automatically getting a poor candidate pool because it's easy to apply for job seekers and they just apply because it’s a numbers game. But what we have found is that the video job descriptions are an engaging medium that has vastly increased the quality candidate pool, as opposed to quantity.”

Another facet of SeekerPitch’s goal to streamline hiring is the automated scheduling process, whereby the platform uses chatbots to chat in real time with job seekers to get the best availability for interview time slots.

“We’ve also implemented an AI feature that helps the interviewer prepare for the interview based on the candidate’s profile, application and resume,” says Reisner. “It will provide questions to the interviewer that they might not have otherwise thought to ask to dive deeper into the candidate’s overall fit for the role. And based on the candidate's answers, more questions will populate tailored to that candidate.

“Then, after that interview is completed, and the employer is interested in moving the candidate forward in the interview process, it queues up the next interviewer in line to schedule that second or next round interview and so on. This automatically synchs with the employer’s applicant tracking system to get the employer all the way through the hiring process.”

Leveling the playing field

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

SeekerPitch’s goal is to also raise awareness about unconscious bias in the hiring process and point it out so that an employer can review any biases their team may have and improve upon them for their process moving forward.

Thanks to the platform’s unprecedented growth and innovation, SeekerPitch won over the crowd at the third annual CodeLaunch Houston event in March. The company has now moved on to CodeLaunch “World Championship” event in Dallas latter this month. The competition brings together the 8 best and the fastest-growing startups to compete for $50,000 in deployed investments and showcase their potential to venture capitalists and angel investors from across the country.

Whether or not SeekerPitch wins the competition, they’ll continue to make strides in the hiring vertical.

“Video is powerful,” says Reisner. “It can tell a story, so our platform makes it a better experience for the job seeker, giving them a competitive edge and helps them stand out from the crowd. We’ve only been in business for six months, but we will continue to disrupt the industry with this platform, especially with the proliferation of AI.”

Blue People has named Luis Arregoces as the company’s first chief artificial intelligence officer. Photo courtesy of Blue People

Houston software shop bets on AI with new C-suite member

eyes on AI

A Houston-based software company has named its first chief artificial intelligence officer.

Blue People has named Luis Arregoces as the company’s CAIO. With 20 years of experience, Arregoces has led AI projects for global Fortune 100 companies in various industries.

He has a Ph.D. in Economics from the University of New Mexico and is an adjunct professor in Statistics and Data Science at the University of Houston. He previously led the Applied Intelligence and Data Science at Accenture's Innovation Hub.

“We are beyond excited to have Luis on board,” Alfredo Arvide, chief innovation officer of Blue People, says in a news release. “His leadership and vision will allow Blue People to help clients and C-level executives develop AI roadmaps and solutions for real-time analytics, secure data sharing, and technology-agnostic ecosystems that will shape the future of innovation across all industries in Houston and throughout the region.”

Blue People has offices in Houston, Austin, Texas, and Monterrey, México. Blue People was named People’s Choice: Startup of the Year at the 2023 Houston Innovation Awards. The company also recently participated in CodeLaunch Houston, where its startup partner won the judges' pick in the competition.

“I am honored to join Blue People and be a part of this historic moment,” Arregoces says in a news release. ”Together, we have the opportunity to shape the future of AI in Houston and beyond. AI’s versatility and transformative potential make it indispensable across all industries to drive innovations, efficiency, and competitiveness.”

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

2 Houston workforce solutions startups win at annual software pitch competition

winner, winner

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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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.