Rice University announces partnership with Houston sports tech startup to enhance student athletics

dream team

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.”

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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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Intuitive Machines lands $148M as part of NASA Moon Base funding

to the moon

Houston-based Intuitive Machines has been awarded $148.3 million to deliver its Nova-C lander to the moon by 2028. The funding is part of $600 million that NASA recently awarded to three companies as part of the agency’s Moon Base Program.

The contracts aim to support sustained human presence and commercial operations on the Moon. Austin-based Firefly Aerospace was awarded $144.2 million by NASA for one mission and Pittsburgh-based Astrobotic netted $297.9 million for two lunar landings. Intuitive Machine's award is the company's sixth task order under NASA's Commercial Lunar Payload Services (CLPS) program.

“We’re building a proving ground for Moon Base operations,” Ryan Stephan, NASA’s Moon Base acting director of cargo landers, said in a news release. “Accelerating our Moon mission ordering cadence and launch opportunities enable us to move quickly to learn, iterate, and improve.”

Under the latest task order, Intuitie Machines will deliver three scientific and operational payloads to the moon, which include a:

Linear Energy Transfer Spectrometer (LETS) radiation monitor to gather critical environmental safety data
Advanced stereo cameras to analyze surface-plume interactions (SCALPSS)
Laser retroreflector array (LRA) for precise cislunar positioning

The funding breakdown includes a $68.6 million base contract and a $79.7 million performance incentive for Intuitive Machines.

The company says the funding will allow it to create a standardized and repeatable "lunar utility pipeline" for delivering cargo to the moon.

"We are shifting the paradigm from custom aerospace engineering to commercial mass production of lunar infrastructure," Steve Altemus, CEO of Intuitive Machines, said in a separate news release. "Our flight-proven Nova-C platform allows us to build, test, and deploy multiple landers in parallel using Industry 4.0-powered manufacturing. This contract directly advances our core mission to provide persistent, reliable, and commercial baseline of transport, connectivity, and operations that allows our customers to stay longer and achieve more on the Moon."

NASA also shared that it is exploring plans to send PROMISE, a rover based on the Mars Perseverance and Curiosity rovers, to the moon and it plans to seek proposals for additional lunar lander missions, technology demonstrations, a communications and navigation satellite network, and new science payloads to support its lunar outpost. NASA is developing its Moon Base near the lunar South Pole. The agency expects it to come to fruition sometime after 2032.

Intuitive Machines had received its last CLPS award for $180.4 million in March 2026. It will be the first mission to utilize the company's larger cargo lunar lander, Nova-D. The company was also recently awarded a $1 million grant from Maryland Gov. Wes Moore to expand its robotics operations in the state.

UT team develops wearable technology for atmospheric water harvesting

In The Air

Engineers at the University of Texas at Austin have developed a prototype jacket that harvests clean drinking water directly from the atmosphere, and it works even in the driest desert conditions.

The research, published in Science Advances, marks the latest milestone in nearly a decade of work by materials scientist and chair professor Guihua Yu and his team at the Cockrell School of Engineering's Walker Department of Mechanical Engineering and Texas Materials Institute. The wearable technology marks a significant leap: instead of a bulky, stationary machine, this jacket does the work.

Photo courtesy of UT Austin

"We have been working on atmospheric water harvesting technology for a number of years," Yu says. "This current version is even more wearable. We're transitioning from conventional, more stationary water harvesting to something truly portable and personal."

Yu's lab first published work on hydrogel-based water harvesting around 2019, and the jacket is the latest evolution of that platform, now called AirGel. Last year, the broader AirGel invention won the top prize in the graduate category of the National Collegiate Inventors Competition.

The jacket is woven with specially engineered hydrogel fibers; ultra-porous materials that attract and absorb moisture from the surrounding air much like a household desiccant. Unlike a desiccant, the material doesn't require intense heat to release that water. The hydrogel is thermally responsive, meaning a modest rise in temperature — even from mild solar heating — is enough to release the water it has captured.

So, somebody would be wearing the jacket, or perhaps carrying this gel-like textile as a blanket, as it passively absorbs moisture from the air. Then they would detach the textile panels and place them into a small, portable collector unit; essentially a compact heater. The water evaporates out of the textile, condenses inside the collector, and drips out as clean, drinkable water.

"It immediately becomes drinkable because it already goes through the distillation process," Yu explains.

In trials, the jacket produced between 400 and 900 milliliters of water per day depending on humidity, or roughly 14-30 ounces, nearly a quart, depending on the air's humidity. With one kilogram of the textile, the researchers found they could generate approximately 3.7-4 liters of water in arid conditions, and potentially double that in humid ones. So far, the team has tried the jacket out in very dry, semi-dry, and humid areas, and the jacket was able to pull water from each climate.

Lead researcher Chuxin Lei, a postdoctoral researcher on Yu's team and co-author on the paper, says the goal was to rethink who this technology could serve.

"Many current [atmospheric water harvesting] systems are still built as rigid or stationary platforms, making them less suitable for people who are moving, working outdoors, or operating in some remote environment. This lead us to ask whether we could build a water harvesting system that could become more like clothing — light, wearable, flexible, and naturally suited for personal use," Lei says.

The potential applications are wide-ranging. Yu's team has previously worked with the Department of Defense on water solutions for soldiers, where water logistics can be dangerous and costly. The technology could also serve hikers, emergency responders, disaster relief workers, and agricultural and field workers. Anyone who needs clean water on the go and far from infrastructure.

The team also sees a potential future where the technology complements large-scale centralized water systems rather than replacing them.

"Our solution cannot be a universal solution for all," Yu acknowledges. "But I think it's an extremely important alternative."

For now, the jacket is still a laboratory prototype, but Yu and Lei are optimistic. With the right industry partnerships, they say, the technology could realistically reach commercial scale within three to five years.

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This article originally appeared on CultureMap.com, written by Natalie Grigson.

Houston ranks among world’s top 30 emerging startup ecosystems

Startup Status

Long known as the Energy Capital of the World, Houston also ranks among the world’s top 30 emerging startup ecosystems, according to a new report.

The report from Startup Genome, a research and advisory organization, doesn’t assign a specific numeric ranking to Houston’s startup ecosystem. Rather, it puts Houston in the ranking range of 21 to 30 for emerging ecosystems. Startup Genome weighed factors such as early-stage funding, performance and talent to identify the top emerging ecosystems.

Houston also gained notice for being one of the world’s 20 emerging ecosystems with at least four unicorn startups in the past 10 years. Houston and nine other ecosystems each had four unicorns.

According to StartupBlink, a startup research platform, Houston’s startup ecosystem grew 24 percent in 2025, with over 1,300 startups and total startup funding exceeding $808 million. StartupBlink places Houston at No. 46 among the world’s top 100 startup ecosystems.

In a recent post on LinkedIn, David Horsup, executive in residence at the Rice Alliance Clean Energy Accelerator, wrote that Houston “has all the ingredients to be wildly successful if it stays true to its differentiated pillars that drive the economy — energy, medical, and aerospace.”

Mumbai topped Startup Genome’s list of emerging ecosystems, followed by Istanbul, Madrid, Salt Lake City-Provo and Barcelona. After Salt Lake City-Provo, the top U.S. ecosystems were Phoenix, Detroit, Minneapolis and Las Vegas.

Silicon Valley led Startup Genome’s ranking of the world’s top established ecosystems, followed by New York City, London, Tel Aviv and Boston. Austin landed at No. 18 in this category and Dallas at No. 27.

“For much of the past decade, this report has chronicled the welcome dispersion of opportunity beyond the traditional hubs,” Startup Genome writes. “That trend has not died — but it has been complicated. Capital and scale are consolidating once more, particularly in the United States, and the gap between leading and emerging ecosystems is widening.”

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