Andre Norman founded Jellifin, an options trading platform, flipping the script on the traditional investment process. Courtesy Jellfin

Say you're a young, working professional who wants to get involved in trading. Where do you start?

If you get involved in options, which are contracts that give investors the ability to buy or sell a stock at a specific price on or before a specific date, you might go the traditional route and seek out a brokerage that focuses on options trading. There's a major catch, though: most brokerages tack on a fee of anywhere between $7 and $20 per trade, says Andre Norman, founder of Jellifin, an online options trading platform, is disrupting that norm.

The company works with individuals and brokers to provide an options trading platform at a flat monthly fee. This allows investors to trade as frequently or infrequently as they please, and to not factor in the cost of a trade fee when considering what's best for their portfolio.

"A lot of people don't invest because of the high costs associated with trading," Norman said. "We allow them to get into investing without having to pay huge amounts of money."

Jellifin was founded in early 2017 in Gainesville, Florida, but relocated to Houston in 2018. Norman moved for his then-fiance's job, but had little to no expectation for the city.

"I did light research, and realized it was trying to foster an entrepreneurial community, as well as innovation, so I came in with no expectations," he says. "When I got involved with Station Houston, I was blown away by what's being done and what's currently in play. It was a great move. This is where we're going to stay forever."

Pivoting Jellifin
When he started the company, Norman says his goal was to provide investors with a cheaper way to trade options. Originally, the company worked commission free — same way of trading at a reduced price. The company worked that way until 2018, when Jellifiin pivoted toward more of a B-to-B clientele — brokerage firms, trading companies, and trading companies. It became more of a white label company where the brokerages could license the software.

"We realized our core expertise was in the software development itself, and we realize customers like our product, but we saw more opportunity in working with brokerage firms which will then inadvertently disperse our platform toward their customer base," Norman says. "So, in the end, we're still serving the same core customer and the same demographic, but now we figured out a way to target them more effectively at a larger scale."

The pivot was ultimately a good move, but it didn't mean it made things easier for Norman and his team — in fact, the opposite happened.

"Surprisingly, it's increased our workload. When we started working with brokerages, one of the core problems we realized is that they're small, and they don't have the in-house expertise or resources to build their own trading platforms," he says. "Our value proposition to them is that we can be their support."

How it works
The brokerage firms that use Jellifin's services license the trading platform — they agree to a minimum of two years — and they pay a monthly subscription fee.

"It's a volume-based pricing system — the brokerage payment covers what [the individual customer] would pay," Norman explains. "The brokerage pays for the software itself, and whatever sort of arrangement that the user has with the brokerage is up to them."

The current industry norm is $7 per options trade, Norman says, plus the contract fees. An option trade could run you anywhere from $7.50 to over $20 per trade.

"That's a big problem in the industry," he says. "What we've brought to the user base is [the ability to spend] $9.99 per month for unlimited trading. The actual cost per trade is pennies on the dollar, but brokerage firms still mark it up thousands of percent, because the average user doesn't understand what goes on when they click 'Place Trade.'"

Because of this ease of use, the company has attracted millennials — specifically the age range of 28 to 33.

"They invest quite frequently — I wouldn't say they're day traders, but they're very actively invested in the stock market," he says. "They're not a passive investor. They trade on a weekly basis."

Norman says, based on their assessment, that their average user earns an income of anywhere from $70,000 to $120,000 annually.

Weighing the options
The company plans to grow — and is even looking for sales and marketing hires.

"Right now, we're a team of six, and we're all engineers," Norman says. "I would say we're hiring, but for the right positions. … we're looking to grow more organically and not raise huge amounts of capital. We work closely with our partners, and we grow as they grow."

So far, the company has raised just under $500,000 to date, but is planning to raise an amount in the millions of dollars.

"We will be raising a new round hopefully sometime soon, but there's no rush to get to that," Norman says. "For us, personally, our generating capital from the companies we work with."

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UH receives $2.6M gift to support opioid addiction research and treatment

drug research

The estate of Dr. William A. Gibson has granted the University of Houston a $2.6 million gift to support and expand its opioid addiction research, including the development of a fentanyl vaccine that could block the drug's ability to enter the brain.

The gift builds upon a previous donation from the Gibson estate that honored the scientist’s late son Michael, who died from drug addiction in 2019. The original donation established the Michael C. Gibson Addiction Research Program in UH's department of psychology. The latest donation will establish the Michael Conner Gibson Endowed Professorship in Psychology and the Michael Conner Gibson Research Endowment in the College of Liberal Arts and Social Sciences.

“This incredibly generous gift will accelerate UH’s addiction research program and advance new approaches to treatment,” Daniel O’Connor, dean of the College of Liberal Arts and Social Sciences, said in a news release.

The Michael C. Gibson Addiction Research Program is led by UH professor of psychology Therese Kosten and Colin Haile, a founding member of the UH Drug Discovery Institute. Currently, the program produces high-profile drug research, including the fentanyl vaccine.

According to UH, the vaccine can eliminate the drug’s “high” and could have major implications for the nation’s opioid epidemic, as research reveals Opioid Use Disorder (OUD) is treatable.

The endowed professorship is combined with a one-to-one match from the Aspire Fund Challenge, a $50 million grant program established in 2019 by an anonymous donor. UH says the program has helped the university increase its number of endowed chairs and professorships, including this new position in the department of psychology.

“Our future discoveries will forever honor the memory of Michael Conner Gibson and the Gibson family,” O’Connor added in the release. “And I expect that the work supported by these endowments will eventually save many thousands of lives.”

CenterPoint and partners launch AI initiative to stabilize the power grid

AI infrastructure

Houston-based utility company CenterPoint Energy is one of the founding partners of a new AI infrastructure initiative called Chain Reaction.

Software companies NVIDIA and Palantir have joined CenterPoint in forming Chain Reaction, which is aimed at speeding up AI buildouts for energy producers and distributors, data centers and infrastructure builders. Among the initiative’s goals are to stabilize and expand the power grid to meet growing demand from data centers, and to design and develop large data centers that can support AI activity.

“The energy infrastructure buildout is the industrial challenge of our generation,” Tristan Gruska, Palantir’s head of energy and infrastructure, says in a news release. “But the software that the sector relies on was not built for this moment. We have spent years quietly deploying systems that keep power plants running and grids reliable. Chain Reaction is the result of building from the ground up for the demands of AI.”

CenterPoint serves about 7 million customers in Texas, Indiana, Minnesota and Ohio. After Hurricane Beryl struck Houston in July 2024, CenterPoint committed to building a resilient power grid for the region and chose Palantir as its “software backbone.”

“Never before have technology and energy been so intertwined in determining the future course of American innovation, commercial growth, and economic security,” Jason Wells, chairman, president and CEO of CenterPoint, added in the release.

In November, the utility company got the go-ahead from the Public Utility Commission of Texas for a $2.9 billion upgrade of its Houston-area power grid. CenterPoint serves 2.9 million customers in a 12-county territory anchored by Houston.

A month earlier, CenterPoint launched a $65 billion, 10-year capital improvement plan to support rising demand for power across all of its service territories.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

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

ai research

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.