Teamwork can make the dream work, but lack of a solid team can be a startup's downfall. Pexels

The top two reasons for startup failure are no market need and running out of money, respectively. But the third reason for failure is not having the right team in place. Like market need, evaluating the management team is on virtually every venture capitalist's list of what they look for in their target investments and you need to get it right.

It is well known that new technologies have a limited window of opportunity to succeed and there are rarely second chances, whether choosing the right strategy, market, customers, partners, or raising rounds of financing. If a particular window is missed a chance to pivot may be available, but that typically requires a good, experienced and nimble team that is right for the overall opportunity.

Luck and timing are factors largely out of your control in a startup, but good-to-great teams are capable of dealing with fast changing conditions or lessons learned along the way.

There's not one "right team"

It is easy to say you need the right team, but the same team is not the right team for every startup. Any team needs some basic skills, and of course have the ability to deliver a solution to meet its customer's needs.

In addition to a diverse technical team, a startup needs different skill sets, including various business, professional and soft skills. It is obvious that software is different than medical devices, but within "software" there are a wide variety of skills needed from user interface to security and everything in between. Within medical devices, the variety ranges beyond technology from working with the FDA to medical reimbursement.

Similarities between standard business processes like customer billing, collections and capital asset management often do not vary much across some otherwise pretty diverse businesses. On top of that, the needs of the team change over time as startups progress from concept, to prototype development to launch and through growth phases.

Having experience with many different startups, I have had some recurring team members with whom I worked with again in my next venture. I have also experienced significant turnover of individuals and growth within individuals that where ready for a new challenge to keep them motivated. The right team varies from venture to venture.

Know your industry

One lesson is to have a few cornerstone roles in the organization. First learned in my consulting days, a talented team member might serve in a kind of cornerstone role where you know that job is "solved" and you will not have to worry about it. You then complement and build around him, adding more experience in a complementary role if the first individual has raw talent and enthusiasm. You would add young talent with plenty of room for growth around an experienced individual that has the ability to mentor those around them. No one way exists to create a good team, other than the best practice of mixing experience, talent and diversity in creative ways based on who based on availability.

However, patterns should be identified and assessed to complement customers when deep engagement is a key part of your model or with partners, distributors, channels, or other strategic parts of your extended business model. Some customers will accept less experienced staff; others will not. Some markets can be targeted successfully by inexperienced sales or customer service representatives, while others require field experience or at a minimum extensive targeted training.

Finding support

Beyond patterns, consider some other best practices that are appropriate for various markets; for example, the risk incurred by having an inexperienced FDA process lead in an FDA regulated product. Having little real experience with FDIC, SEC or similar relevant federal or state agencies creates a lot of risk in FinTech companies. In any startup, some areas can be easily contracted out while others need to be core internal strengths, even if developed over time.

That last word is key, the "time" component of startups. Early stages of a startup have parallels to my consulting days. It is a project that is managed like any other project, balancing the big three assets: resources, money and time. Any project is a balancing act of acquiring and managing those three assets, at least when you take out administrative details like payroll and the like. The next stage is more operational in nature, whether stabilizing operations or managing for growth, but it is common for a startup to have two or more CEOs between founding and exit as needs change.

Since VIC primarily is focused on university technology startups, the inventor is often a university researcher with decades of experience in the field of the invention. We follow a best practice of bringing in one of our senior team members as CEO, an experienced business savvy entrepreneur who complements the inventor well in those early technology de-risking phases.

We support those key team members with a shared service team to handle finance, accounting, legal, websites and more, outsourcing specific areas of expertise like intellectual property in a given technical area. We then fill out gaps with select hires. Over time, we work ourselves out of a job when the technology has progressed to a point that different skills are needed, such as handing off to a growth-stage CEO.

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James Y. Lancaster is the Texas branch manager for Arkansas-based VIC Technology Venture Development. Lancaster, who lives in College Station, oversees business there, in Dallas, and in Houston.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”