Kahuna CEO Jai Shah shares how he plans on deploying the $21 million his Houston company just raised. Photo courtesy of Kahuna

With a recent $21 million series B funding round set to fuel more growth and expand an impressive client roster, Kahuna Workforce Solutions is riding a big wave into 2024.

CEO Jai Shah tells InnovationMap that the Houston skills management software service company’s Hawaiian name captures their style.

“Kahuna is that kind of expert, competent leader in a tribe or family,” Jai says. “That’s all because we had this concept of really wanting to be providing a very..family-oriented consulting approach. Treat our customers like family, and with respect, love and really just try and deliver on that promise.”

For Shah, Kahuna represents a natural progression, and grew out of his first startup, Hula Partners, a Houston consulting company acquired by GP Strategies Corp. in 2017.

Shah says his initial work in human resource technology transformation for energy giants like Marathon Oil exposed the poor functionality of HR software, especially for employees. The very technology that has revolutionized the workplace has often not met the needs of many American workers, even as they face more demands on their time.

“We saw a need in the marketplace, relative to the consulting, where technology really wasn’t filling the gap,” says Shah, who now lives in San Diego.

Kahuna’s skills management software service bridges that gap, enabling employees train and grow within their field, and employers to track and monitor their progress in key competencies.

Whether it’s a nurse assessing a patient, or a worker turning a wrench properly on an oil rig, employers observe those skills and record them in Kahuna’s software.

“What Kahuna does, is give the organization a lot more confidence in their ability to have these workers do their jobs,” Shah says.

Those frontline workers drive the company’s ethos. “That workforce is super key to the economy, and it’s really been undeserved by technology for many years. That’s why we exist,” says Shah.

Kahuna caught the attention of Baltimore, Maryland-based Resolve Growth Partners, which chose Kahuna as the first investment in their second funding group with the series B. Kahuna’s series A funding came from venture capital group Houston Ventures.

Chip Davis, of Houston Ventures, who remains a key figure in Kahuna, says he experienced his “Eureka moment” when he saw how Kahuna could solve a problem that he witnessed firsthand in another company. He had another investment client in the oil industry, that had tons of data, but didn’t know what to do with it. He saw that Kahuna provides a way.

“The type of data that Kahuna developed, is not easy to develop,” Davis says. “It knows not that just that you went to college; it knows how well you did, and it knows how well you’re doing now, and it knows why you’re doing well now."

Shah says Kahuna’s ability to leverage that granular data sets the company apart from other HR applications. And that technology may even extend to the future workforce.

Memorial Hermann, a new customer, is in discussions with Kahuna to implement its software early in the journey for nursing candidates, in secondary education curriculum.

Students as young as seventh grade who aspire to a nursing career, could use Kahuna software to find out what skills they’ll need, and keep

Shah says the funds from Resolve, divided in two tranches, will help grow his staff of 50 employees by 30 percent. He also says he plans three or four major initiatives in product development, such as artificial intelligence and machine learning and developing new software modules.

The company will remain headquartered at its Houston office on upper Kirby, but plans are underway to expand operations in about a year into Northern Europe, where many energy clients do business.

Kahuna will maintain growth with a laser focus on frontline workers, Shah says, and solidify its position as a category leader in the energy, manufacturing, and health care verticals.

“A lot of these companies are being challenged in more technically tough environments,” he says. “We’re drilling for oil in deeper and deeper ocean centers. Nurses are asked to do more these days than they were five years ago, or 10 years ago.”

Kahuna’s move upmarket may bring challenges common to companies making that same progression, with a more sophisticated buying process and the scrutiny that comes with it.

“An upmarket customer wants to know how you can support them. They’re going to examine you, in a way you’re not used to being examined,” Davis says.

Houston-based LiquidFrameworks has been acquired by San Francisco-based Luminate Capital. Pexels

Houston startup exits to Bay Area private equity firm

Grand exit

A Houston startup has entered a deal with a San Francisco-based private equity firm, the companies announced on January 10. LiquidFrameworks, which provides cloud-based, mobile field operations management solutions to oil and gas, environmental, and industrial service companies, is now operating under Luminate Capital following the acquisition.

While not all the terms of the deal have been disclosed, Chip Davis, managing partner at Houston Ventures, says the transaction exceeded $50 million of PE investment from Luminate Capital. HV has been involved with LiquidFrameworks since 2012 and has invested a cumulative $6 million, Davis says, and brought in the company's current CEO and head of sales — both of who are still a part of the company's team.

"When we got involved, it was a very small company," says Davis. "As of today, it has enterprise customers of some of the largest oilfield services companies in the world."

According to the release, Hollie Haynes, Mark Pierce, and Sanjay Palakshappa from Luminate have joined the LiquidFrameworks board of directors. The PE fund's investment is a part of the recently closed $425 million Fund II.

"For over a decade, we have served field services companies by reducing revenue leakage, shortening cash collection cycles, and increasing overall operational efficiencies. We have streamlined the day-to-day operations for field services professionals and increased transparency across organizations by transforming previously paper- or excel-based workflows," says Travis Parigi, founder and COO of LiquidFrameworks, in the release.

"With a partner like Luminate Capital, we will continue to invest and develop product capabilities to better serve field services industries that have previously been overlooked by software innovation."

One of LiquidFrameworks' tools is FieldFX, which enhances companies' data accuracy and accelerates revenue capture and cash flow.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”