Rice University's athletic programs will be supported by Houston startup BeOne Sports' technology. Photo courtesy of Rice University

Rice University — in an effort to enhance athletics and research-driven innovation — has formed a partnership with a startup founded by its alumni.

BeOne Sports, a sports performance technology company developed a platform for mobile motion-capture AI and advanced data analytics, will integrate its technology within Rice's sports medicine and rehabilitation programs.

“This partnership aligns perfectly with Rice University’s mission to harness innovation for the betterment of our community,” Rice President Reginald DesRoches says in a news release. “By integrating cutting-edge technology from BeOne Sports with our already world-class athletic and academic programs, we are providing our student athletes with the tools they need to excel both on the field and in life. This collaboration is a testament to Rice’s commitment to leading through innovation and offering unparalleled opportunities for our students.”

Rice MBA alumni Scott Deans and Jason Bell founded the company alongside former Rice student-athlete James McNaney. BeOne's “Comparative Training” technology uses artificial intelligence and computer vision technology to support elite-level training, per the Rice release.

“BeOne Sports was born from the collaborative environment at Rice, where business leaders and engineers work together to solve real-world problems” Deans, who serves as CEO of BeOne Sports, adds. “We’re thrilled to continue that journey with Rice Athletics as we build the world’s first human recognition models specifically designed for sports performance and beyond. Our mission is to provide cutting-edge technology to maximize potential in the simplest, fastest and most versatile ways possible. This partnership with Rice is an exciting step toward democratizing access to sports technology for athletes and coaches at all levels.”

Tommy McClelland, vice president and director of athletics, says the new technology will allow enhanced athlete monitoring that will contribute to rehabilitation and injury prevention.

“At Rice Athletics, we are always striving to be at the forefront of innovation, and our partnership with BeOne Sports exemplifies that commitment,” he says. “By leveraging their state-of-the-art AI technology and data analytics, we can elevate how we support and develop our athletes — ensuring they are healthier, stronger and better prepared to succeed both athletically and academically. We’re excited about how this collaboration will position Rice as a leader in athlete care and performance.”

Additionally, the partnership will create academic and professional development opportunities for students, faculty, and other Rice community members, something that Rice's Office of Innovation seeks to offer in its continuing dedication to fostering an ecosystem of innovation, says Paul Cherukuri, Rice’s chief innovation officer.

“BeOne Sports exemplifies the innovative spirit we champion at Rice, where entrepreneurship and engineering excellence converge,” he says. “As a startup founded by former Rice MBA students and athletes in collaboration with our computer science engineers, BeOne reflects Rice’s dedication to cultivating talent and driving transformative change. This partnership showcases how our innovation ecosystem is expanding beyond business into athletics, creating new opportunities that benefit both our students and the world at large.”

Amperon CEO Sean Kelly joins the Houston Innovators Podcast to share his company's growth and expansion plans. Photo via LinkedIn

Houston tech entrepreneur expands energy data co. in Europe, continues to scale

houston innovators podcast episode 229

The technology that Amperon provides its customers — a comprehensive, AI-backed data analytics platform — is majorly key to the energy industry and the transition of the sector. But CEO Sean Kelly says he doesn't run his business like an energy company.

Kelly explains on the Houston Innovators Podcast that he chooses to run Amperon as a tech company when it comes to hiring and scaling.

"There are a lot of energy companies that do tech — they'll hire a large IT department, they'll outsource a bunch of things, and they'll try to undergo a product themselves because they think it should be IP," he says on the show. "A tech company means that at your core, you're trying to build the best and brightest technology."

To Kelly, Amperon should be hiring in the same field as Google and other big tech companies that sit at the top of the market. And Kelly has done a lot of hiring recently. Recently closing the company's $20 million series B round last fall led by Energize Capital, Amperon has tripled its team in the past 14 months.

With his growing team, Kelly also speaks to the importance of partnerships as the company scales. Earlier this month, Amperon announced that it is replatforming its AI-powered energy analytics technology onto Microsoft Azure. The partnership with the tech giant allows Amperon's energy sector clients to use Microsoft's analytics stack with Amperon data.

And there are more collaborations where that comes from.

"For Amperon, 2024 is the year of partnerships," Kelly says on the podcast. "I think you'll see partnership announcements here in the next couple of quarters."

Along with more partners, Amperon is entering an era of expansion, specifically in Europe, which Kelly says has taken place at a fast pace.

"Amperon will be live in a month in 25 countries," he says.

While Amperon's technology isn't energy transition specific, Kelly shares how it's been surprising how many clean tech and climate tech lists Amperon has made it on.

"We don't brand ourselves as a clean tech company," Kelly says, "but we have four of the top six or eight wind providers who have all invested in Amperon. So, there's something there."

Amperon, which originally founded in 2018 before relocating to Houston a couple of years ago, is providing technology that helps customers move toward a lower carbon future.

"If you look at our customer base, Amperon is the heart of the energy transition. And Houston is the heart of the energy transition," he says.

Houstonian Joe Schurman's latest venture PhenomAInon is aimed at tapping into AI and data analytics for for space domain awareness and threat detection. Photo via Getty Images

Houston innovator aims to connect the dots between data science and phenomena

eyes to the sky

As artificial intelligence continues to expand its sphere of influence, Spring-based expert Joe Schurman is looking to take this technology to an out-of-this-world space.

With his background includes working with advising defense and aerospace organizations like NASA, Schurman's latest venture PhenomAInon is perfectly aligned with what he’s been working towards since 2019. The company aims to be a multi-tiered subscription service and application that will be the world’s first cloud native data and AI platform for phenomenon-based data analysis that can analyze data from any source for space domain awareness and threat detection, according to Schurman.

The platform aims to provide end-to-end data and AI analysis, publish insights, build community, and provide cloud, data, and software consulting. PhenomAInon deploys data and AI services alongside modern data and AI engineering, per the website, to surface insights to explorers, researchers, organizations, publications, and communities through advanced data and AI analysis. Schurman has worked with the U.S. government's task force for unidentified anomalous phenomenon — any perceived aerial phenomenon that cannot be immediately identified or explained — known as UAPTF. The tool will run sensitive information and then get back custom video analysis. The public version of the tool will give the public the option to view videos and cases, and form their own analysis.

“We are working together with multiple teams both public and private to continue to curate the data sets, clear documents for public review, and provide advanced analytics and AI capabilities never seen before to the public,” Schurman tells InnovationMap. “From a data and analytics perspective, we are applying machine learning and advanced analytics to find correlations and anomalies in the incident reports across multiple data sets.

"Some of these are public, some are private, and some we are clearing for public review," he continues. "The analytics will go far beyond incident reporting and showcase heat maps, correlative incident maps to key private and public sector facilities, and trends analysis never reported — e.g. incident reporting correlated with time, weather, FAA, and drone flight data, etc. We also have a new content analysis platform where users will be able to eventually run their own AI and ML analysis on their own videos.”

Schurman was first able to show this to the world in 2019, when as an adviser for To The Stars Academy of Arts and Science, or TTSA. He also appeared on History Channel’s “Unidentified: Inside America's UFO Investigation” to show the Pentagon’s former Advanced Aerospace Threat Identification Program head and TTSA Director of Special Programs Luis Elizondo how the AI platform could be helpful in tracking data related to Unidentified Aerial Phenomena.

Now, PhenomAInon's app is a work-in-progress. While it soft launched in May of 2022, Schurman says they have several data sets that are awaiting clearing from the U.S. government, as well as the content analysis tool in development to launch possibly by the summer. Schurman also hopes they will curate the largest library of incident videos, images, and audio recordings.

The subject of UAP continues to attract new discussions from government officials and industry professions across aerospace, academia, and more. In Houston, Rice University's Woodson Research Center and its humanities department host one of the largest archives of UAP and paranormal data, notes, and research that include documents from CIA programs on remote viewing.

Schurman says he's looking to provide even more data and information in this space.

“This phenomenon, it’s implications to multiple aspects of our lives and possible security threats, all come down to a data problem and the organizations that have been in place to-date just have not had the level of cloud, data and AI engineering capabilities we take for granted and have access to in the private sector,” says Schurman. “My goal is to bring this all together, starting with PhenomAInon.”

nVenue's proprietary predictive analytics appear at the bottom right corner of the screen on Apple TV broadcasts. Photo via nvenue.com

This Houston-born sports tech is changing the game when it comes to fan-accessible data

by the numbers

Using technology to solve big problems has always been Kelly Pracht's career, but she never thought she'd be able use her skills for the sports world she's a lifelong fan of.

After spending nearly 20 years at HP Inc. in various leadership roles and across technology, Pract was watching a baseball game when something clicked for her. Baseball — and its endless data points and metrics — wasn't serving up analytics that the fans cared about. Teams and leagues had their own metic priorities, but fans just want to engage with the game, their team, and the players.

"I saw a gap in how we handle the data coming from the field and how that can impact the fan — and nobody was getting it right," Pracht, co-founder and CEO of nVenue, tells InnovationMap. "I saw technologists coming up with the most nonsensical solutions. For fans like me, coming from my crazy sports family from West Texas where my dad was a coach, I knew that these solutions were a huge miss."

She gives the example of a wearable technology for the viewer at home that can feel what it feels like for the players on the field who get hit. Pracht says it seems like companies were trying to fit technology into the sport, rather than thinking of what the fans really wanted.

She had the idea for a data-driven fan tool in 2017 and nVenue was born. She started building out the code and the team started testing it out at Astros games at Minute Maid.

"What great years to develop this platform. It was fun — these were not boring baseball games," Pracht says. The Astros have won their division four out of the past five years, including winning the World Series in 2017.

Kelly Pracht is the CEO and co-founder of nVenue. Photo courtesy of nVenue

At first, nVenue was using historical data, and that in itself was impressive. But then, Pracht and her team decided to take it live. After building its proprietary analytics platform, nVenue could use data to make predictions in real time.

"We spent over a year — all of 2019 — mastering timing and putting it into a platform," Pracht says, explaining how they built out the artificial intelligence and designed an app for fans to interface with. "We wanted to be able to predict and play. We had over 180 people during the 2019 World Series and playoffs."

The app and algorithm were good — and nVenue expanded into football. Then, the pandemic hit and sports halted completely. Pracht says they pivoted to a B2B model but wasn't seeing any real opportunities for the platform — until the 2021 Comcast NBCUniversal SportsTech Accelerator.

"In kind of a last-ditch effort, we applied to the NBC Comcast accelerator somewhere around August or September of 2020," Pracht says, explaining that she wasn't seeing a sustainable business so it was get into the program or close up shop. "And we got in. They just resonated with everything we said — we found our people."

The accelerator gave nVenue the jumpstart it needed, and as sports returned, the company found its momentum again. Now, the company is headquartered in Dallas with 14 employees all over and three — including Pracht — in Houston. The company has raised its $3.5 million seed round co-led by KB Partners and Corazon Capital and plans to raise a Series A next year.

After a few broadcasts last season, opportunity came knocking by way of Apple TV and Houston-based TV Graphics. The companies collaborated on a deal and, two weeks before the 2022 season started, nVenue got the greenlight to have onscreen analytics on Apple TV broadcasts.

"In under two weeks we structured the deal, convinced them it worked, pulled together every bit of testing we could — by then we only had one week of pre-season games to test — and we pulled it off," Pracht says.

The technology has tons of potential when it comes to sports betting, which is a growing business across the country. Pracht says nVenue isn't looking to compete with the providers on the scene, but instead work with them as an analytics tool.

"We broke down the market down to microbets or in-the-moment bets that are going to happen annually by 2025 — it's 156 billion microbets a year, which turns out to be 3 billion a week," Pracht says.

She adds that new technologies in the streaming world – like no-delay, latency streaming — is only going to make the sports betting world more lucrative, and nVenue will be right there to ride that wave.

A new, data-intensive technique can create a better profile of a firm and its profit forecast. Photo via Pexels

Focusing on data can enhance business forecasting, Houston researcher finds

Houston voices

Earnings summaries are the corporate version of a Magic 8 Ball, something used to forecast future performance and profit. But Rice Business professor Brian Rountree has found that magic has its limits, and that by delving into a few additional areas of interest, investors can get a more accurate prediction of a company's future earnings than current techniques allow.

Plenty of studies analyze how to use performance summaries to calculate a firm's potential and future profits. Building on the abundant literature around this approach, Rountree, working with colleagues Andrew B. Jackson of the UNSW Australia Business School and Marlene Plumlee of the University of Utah, devised a new, additional technique for forecasting profits. By dissecting an assortment of operating details, the researchers discovered, it's possible to create a more precise forecast of a company's financial future.

Rather than replacing prior work on the subject, Rountree's team delved deeper into the significance of details within existing data. Their focus: whether including a firm's market, its overall industry and any unique activity specific to the firm makes for a more reliable profit forecast. Their conclusion: Firms can indeed improve their predictions if they separate returns on net operating assets (RNOA) into separate components and use those figures in their projections.

Normally, firms use market and industry related data to create future profit predictions. For example, a major oil company might use data on market conditions and the overall state of the oil industry to build its profits prediction. The resulting financial literature might be peppered with statements such as, "Like the rest of big oil…" or "The overall market for oil remains soft."

While this type of data is typically used to make projections, Rountree and his colleagues used the market and industry information more formally by creating the equivalent of stock return betas — a statistical measure of risk — for corporate earnings. In addition, they allowed for adding firm-specific information to market and industry information to help forecast earnings.

To conduct their study, Rountree's team used Compustat quarterly data to calculate firm, industry and market RNOAs from 1976 to 2014. Next, they broke these figures down and separated the results into different categories.

Their resulting formula differs from the conventional approach because it doesn't rely on one average set of market and industry-related data for each firm. Instead, it assumes varying factors for each company. The devil is in these details: Calculating specific market, industry and firm-idiosyncratic components improves the chances of forecasting profits correctly.

Correctly breaking down and separating profitability details to plug into the new formula is no small task. Separating company data into just three components requires up to 20 quarters of figures about prior profitability.

Once the information is processed, a researcher must then be vigilant for "noise" — incidental, irrelevant data that can lead to errors. Finally, Rountree warns, the breakdown process may not work as well for forecasting bankruptcy as it does for profits.

Used correctly, however, the technique is a practical new tool. By breaking down profitability into market, industry and firm-specific idiosyncrasies, researchers can improve forecasts strikingly compared to conventional calculations of total RNOAs.

The most accurate profit forecasts in other words, demand more than just a figurative shake of an industry Magic 8 Ball. To find the most reliable information about future earnings, a company instead has to flawlessly juggle years' worth of specific details about their particular firm. But the reward of planning based on a correct forecast can pay for itself.

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This story originally ran on Rice Business Wisdom. It's based on research by Brian Rountree, an associate professor of accounting at Jones Graduate School of Business at Rice University.

InformAI can use its data technology to help doctors with preventative care and diagnoses. Courtesy of InformAI

Houston artificial intelligence startup aims to impact medical field

Data driven

A Houston-based startup has a new technology that allows hospitals and medical establishments better access to its own data – which translates into more effective diagnoses and preventative care.

InformAI — founded by Jim Havelka, CEO, in 2017 — is introducing the technology to the Texas Medical Center. Havelka saw a need within the medical industry for this type of service.

"There were several things missing," says Havelka. "One was access to very large data sets, because it wasn't really until the last five or 10 years that digitalization of data, especially in the healthcare vertical became more widespread and available in a format that's usable. The second convergence was the technology, the ability to process very large data sets."

InformAI currently offers four unique solutions using artificial intelligence and deep learning algorithms: Paranasal Sinus Classifier; Brain Cancer Classifier; Patient Outcome Predictors; and Surgical Risk Predictors.

According to the website, both medical image classifiers assist physicians in detecting the presence of medical conditions. The Paranasal Sinus Classifier detects and distinguishes medical conditions prevalent in the paranasal sinuses. The classifier assists physicians by evaluating sinus medical conditions at the point of care, speeding up radiologist workflow by flagging medical conditions for further review, and providing a triage of pending sinus patient study reviews. The Brain Cancer Classifier focuses on several tumor types and has the potential to provide radiologists and surgeons with additional insights to inform their diagnoses and treatment plans.

In addition to the classifier solutions, the predictors are also key to patient care, as InformAI patient outcome predictors evaluate the risk of adverse outcomes from a surgical procedure.

"Our data set has 275,000 surgical procedures that we can use to look for patterns, and then use that to understand how a patient may react to going through that surgical procedure and that's a very valuable input to surgeons," Havelka tells InnovationMap. Patient outcome risks include mortality, stroke, prolonged ventilation, infection, re-operation, and prolonged hospitalization.

"The innovation is the ability to use artificial intelligence to augment the capabilities of the physician and flag diagnostics for them to consider," says Havelka. "For example, one of our image classifiers that reads three-dimensional CT head scans has the equivalent of thirty lifetimes of an ENT contained in the AI labeled training dataset. It would take thirty lifetimes of an ENT to see that same number of scans and associated disease state patterns. InformAI currently has 10 full-time employees and works with radiologists-in-residence in building solutions and conducting research. The startup partners with the Texas Medical Center, Nvidia, Amazon, and Microsoft.

"They're quite interested in what we've built because it's really cutting edge technology that we're doing," Havelka tells InnovationMap.

Havelka and his team also work with some of the largest physician groups and imaging companies in the country to build products. "At the end of the day our core competency is the ability to take data, medical images or patient data, and put it into a usable format to assist physicians in making better treatment decisions for patients," says Havelka. "We can flag and detect patterns, disease states, and risk profiles that can improve the decision making of the physicians for the patient.

InformAI has plans to fundraise this year, with a goal of raising $5 million to $6 million in a round.

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Houston medtech firm secures $30M for neurosurgical robot

stroke surgery

Robotic neurosurgery is an exciting new frontier in medicine, and Houston-based medtech firm XCath is leading the charge with its revolutionary Iris robotic system. The company announced in March that it had secured $30 million in Series C funding to continue developing systems to tackle blood clots in the human brain.

“We are grateful to our investors for their conviction in our shared mission to improve clinical outcomes for patients impacted by endovascular diseases,” Eduardo Fonseca, CEO of XCath, said in a news release. “In 2025, the XCath team advanced the frontiers of endovascular robotics. This funding accelerates our commitment to expanding access to life-saving care so that where a patient lives no longer determines whether they live.”

XCath–which also has campuses in Pangyo, South Korea–has already achieved a number of remarkable firsts in robotic neurosurgery. The Iris is the only endovascular robotic system currently in development to perform intracranial navigation or neurointerventional treatment, and is the only robot in the world to have performed an intracranial neurovascular procedure involving the robotic manipulation of three devices.

These new Series C funds, which bring the company's total investment to $92 million, will go toward developing a clinical telerobot capable of performing a mechanical thrombectomy. This would bring unprecedented accuracy and precision to the surgical removal of brain clots, significantly reducing the risk of neurosurgery.

“Robotic surgery succeeds when innovation is paired with practical execution,” Dr. Fred Moll, chairman of the XCath board of directors, said in the release. “XCath has built a promising technology foundation, and just as importantly, a team that values rigor and appreciates perspective. I’m excited to support them as they take on the mission of globalizing access to gold-standard care for stroke patients.”

In November 2025, the Iris debuted under the control of Dr. Vitor Mendes Pereira at The Panama Clinic in Panama City, alongside local Principal Investigator Dr. Anastasio Ameijeiras Sibauste. It was only the second time in human history that a robot had been used for intracranial neurovascular intervention, and it established Iris as a viable technology in the fight against stroke.

“Treatment of stroke and other neurovascular diseases represents one of the most significant financial opportunities in healthcare, supported by positive reimbursement dynamics and strong demand from health systems,” Nicholas Drysdale, CFO of XCath, added in the release. “With our continued investor support and disciplined capital deployment, XCath is positioned to build a category-leading platform in endovascular robotics”.

Houston geothermal unicorn Fervo officially files for IPO

going public

Fervo Energy has officially filed for IPO.

The Houston-based geothermal unicorn filed a registration statement on Form S-1 with the U.S. Securities and Exchange Commission on April 17 to list its Class A common stock on the Nasdaq exchange. Fervo intends to be listed under the ticker symbol "FRVO."

The number and price of the shares have not yet been determined, according to a news release from Fervo. J.P. Morgan, BofA Securities, RBC Capital Markets and Barclays are leading the offering.

The highly anticipated filing comes as Fervo readies its flagship Cape Station geothermal project to deliver its first power later this year

"Today, miles-long lines for gasoline have been replaced by lines for electricity. Tech companies compete for megawatts to claim AI market share. Manufacturers jockey for power to strengthen American industry. Utilities demand clean, firm electricity to stabilize the grid," Fervo CEO Tim Latimer shared in the filing. "Fervo is prepared to serve all of these customers. Not with complex, idiosyncratic projects but with a simplified, standardized product capable of delivering around-the-clock, carbon-free power using proven oil and gas technology."

Fervo has been preparing to file for IPO for months. Axios Pro first reported that the company "quietly" filed for an IPO in January and estimated it would be valued between $2 billion and $3 billion.

Fervo also closed $421 million in non-recourse debt financing for the first phase of Cape Station last month and raised a $462 million Series E in December. The company also announced the addition of four heavyweights to its board of directors last week, including Meg Whitman, former CEO of eBay, Hewlett-Packard, and Spring-based HPE.

Fervo reported a net loss of $70.5 million for the 2025 fiscal year in the S-1 filing and a loss of $41.1 million in 2024.

Tracxn.com estimates that Fervo has raised $1.12 billion over 12 funding rounds. The company was founded in 2017 by Latimer and CTO Jack Norbeck.

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

New UT Austin med center, anchored by MD Anderson, gets $1 billion gift

Future of Health

A donation announced Tuesday, April 21, breaks a major record at the University of Texas at Austin. Michael and Susan Dell are now UT Austin's first supporters to give $1 billion. In response, the university will create the UT Dell Campus for Advanced Research and the UT Dell Medical Center to "advance human health," per a press release.

The release also records "significant support" for undergraduate scholarships, student housing, and the Texas Advanced Computing Center for supercomputing research.

Both the new research campus and the UT Dell Medical Center will integrate advanced computing into their research and practices. At the medical center, the university hopes that will lead to "earlier detection, more precise and personalized care, and better health outcomes." The University of Texas MD Anderson Cancer Center will also be integrated into the new medical center.

That comes with a numeric goal measured in 10s: raise $10 billion and rank among the top 10 medical centers in the U.S., both in the next decade.

In the shorter term, the university will break ground on the medical center with architecture firm Skidmore, Owings & Merrill (SOM) "later this year."

“UT Austin, where Dell Technologies was founded from a dorm room, has always been a place where bold ideas become real-world impact,” said Michael and Susan Dell in a joint statement.

They continued, “What makes this moment so meaningful is the opportunity to build something that brings every part of the journey together — from how students learn, to how discoveries are made, to how care reaches families. By bringing together medicine, science and computing in one campus designed for the AI era, UT can create more opportunity, deliver better outcomes, and build a stronger future for communities across Texas and beyond.”

This is the second major gift this year for the planned multibillion-dollar medical center. In January, Tench Coxe, a former venture capitalist who’s a major shareholder in chipmaking giant Nvidia, and Simone Coxe, co-founder and former CEO of the Blanc & Otus PR firm, contributed $100 million$100 million.