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

houston innovators podcast episode 229

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

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.

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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.

Luther Birdzell, founder and CEO of Houston-based OAG Analytics is on a mission to democratize data for his upstream oil and gas clients. Courtesy of OAG Analytics

Houston entrepreneur is using his analytics company to change the oil and gas industry

Featured Innovator

Luther Birdzell has been on a mission to democratize data for the upstream oil and gas industry since he started his company, OAG Analytics, in 2013.

For him, there's just not enough data scientists for hire to do the same thing internally for different companies. He thought of a way where he can give clients an easy-to-use platform to have access to data that could save oil and gas companies millions of dollars. So, that's exactly what he did.

"Over the past five and a half years, we've built that platform," Birdzell says. "We are currently helping to optimize over $1 billion in capital deployment around drilling and completions."

The company has grown to 25 employees and tripled its revenue last year. The team is forecasting another year of high grow for 2019.

Birdzell spoke with InnovationMap to talk about his start in software, the company's growth, and why nonprofit work has been important to him as a business leader.

InnovationMap: Did you always know you wanted to be an entrepreneur?

Luther Birdzell: When I was about two years old, my grandfather ran a meat business in New York City — in the meatpacking district, back when that area actually had meat packers. It just was in my bones from a really young age that I wanted to start a business.

IM: How did you get into software development?

LB: I studied electrical engineering in college. For my first seven years, I worked within consulting, implementing systems that made data more valuable to subject matter experts. I was primarily supporting management teams and mostly tech teams.

Then, I met the founders of iTKO, who were doing software testing for clients, and I helped them figure out a way that was complementary to what they were doing. We took a capability that can enable software developers that can help companies reduce their data center costs by a lot. It was a capability that was really restricted to specialized programing. Together we figured out how to make that a capability that anyone in an IT company used. That resulted in companies being able to higher fewer people to maintain servers, as well as reduce other costs. Companies were saving of millions of dollars per year per project.

IM: When did the idea for OAG come to you?

LB: Computer Associates bought iTKO from us in 2011. When I resigned from CA in 2013, it was very clear to me that artificial intelligence, big data, machine learning, and the cloud, were all tech ingredients for adding more value to data. Then the oil and gas business came into focus.

When I founded OAG Analytics, our mission then — and still is today — was to build a platform for the upstream oil and gas industry that enables them to manage their data, introduces world-class machine learning in minutes without having to write a single line of code, and allow them to run simulations on the resulting analysis.

IM: What makes OAG successful?

LB: My vision was to create a platform that could be trusted to support billions of dollars of capital optimization through transparency and control. A black box doesn't work for the kind of problems we're helping our customers optimize. They need something that's easy to use, simple, powerful, and also gives them complete control.

IM: What's the barrier of success for your clients?

LB: We have customers who have increased their capital efficiency on drilling programs that are about $500 million by over 25 percent, while still getting the same amount of oil out of the ground.

IM: What was the early reception like?

LB: We found a lot of interest in talking about how it works. In 2013, 2014, 2015, well over half the industry knew enough about this technology from other industries to have high confidence that it would affect the oil and gas industry one day. They were willing to spend an hour or two on what it is and how it works. But the number of companies who were really willing to invest in a meaningful way was really small.

There were companies, like EOG Resources, for example started spending millions of dollars developing this technology in house. Other companies seeing EOG and Anadarko success, raised the bar on the level of proof.

There's an increasing number of companies in the industry who realize that AI isn't a futuristic thing anymore. There are companies using it today, and the companies using it right are making more money. But, they're learning it's hard to do right. It could take years and millions of dollars to develop this yourself, but we're helping companies get up to speed in a matter of months, and our total cost for the first year is well under a million bucks to do this. They want us to train them how to use it, then act as support, rather than run it all for them.

IM: Do you plan to stay in just upstream oil and gas?

LB: We're 100 percent focused on upstream oil and gas, and always have been, but as we continue to grow, we're going to follow the market and what customers want. Repurposing our platform for other applications in oil and gas, energy, and even beyond that. We're evaluating. The vision has always been to democratize AI, and oil and gas is where we started.

IM: Do you have an exit strategy?

LB: As far as exits, I get asked this a lot. I don't believe in exit strategies. I believe in building a great company. I've seen a lot of founders make a lot of mistakes trying to cut corners to get to early exits. Our goal is to be a great company, and that starts with the right vision and then getting the right people and hires.

IM: How has Houston been as a place to have a startup in energy?

LB: Houston is unparalleled in the oil patch or the ability to support day trips. There's two airports and tons of direct flights to other cities in the oil patch. It's the only city you can cover all the other cities from with day trips. The efficiency of being able to be on site with customers is such an advantage.

There are a lot of industry experts in and around Houston, but a startup software company works very differently from an oil company. I think we have a long road ahead of us before we have an ecosystem in place to support startups and give them the best chance of success. Some of that comes from advisers, some from the ecosystem, and some part of it just takes time. But once those pieces come into play, talent follows. I think Houston is a very natural hub for energy tech.

IM: Volunteering is an important part of your business. Why is that something you've focused on?

LB: Something in the DNA of our business is giving back. We do that through direct community action. We've volunteered as a company, and we're always on the lookout for ways we can engage with and make the most contribution to the community. We do this primarily for personal reasons, but the universe has been very generous over my career with reciprocating a professional upside.

You volunteer in high school to get into college, then maybe some in college. And you might think, "oh that's for philanthropists or retired people and I'll get back to that later." But the reality of that is it feels better doing some of that now, so we do.

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Portions of this interview have been edited.

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Rice University's edtech company receives $90M to lead NSF research hub

major collaboration

An educational technology company based out of Rice University has received $90 million to create and lead a research and development hub for inclusive learning and education research. It's the largest research award in the history of the university.

OpenStax received the grant funding from the U.S. National Science Foundation for a five-year project create the R&D hub called SafeInsights, which "will enable extensive, long-term research on the predictors of effective learning while protecting student privacy," reads a news release from Rice. It's the NSF's largest single investment commitment to national sale education R&D infrastructure.

“We are thrilled to announce an investment of $90 million in SafeInsights, marking a significant step forward in our commitment to advancing scientific research in STEM education,” NSF Director Sethuraman Panchanathan says in the release. “There is an urgent need for research-informed strategies capable of transforming educational systems, empowering our nation’s workforce and propelling discoveries in the science of learning.

"By investing in cutting-edge infrastructure and fostering collaboration among researchers and educators, we are paving the way for transformative discoveries and equitable opportunities for learners across the nation.”

SafeInsights is funded through NSF’s Mid-scale Research Infrastructure-2 (Mid-scale RI-2) program and will act as a central hub for 80 partners and collaborating institutions.

“SafeInsights represents a pivotal moment for Rice University and a testament to our nation’s commitment to educational research,” Rice President Reginald DesRoches adds. “It will accelerate student learning through studies that result in more innovative, evidence-based tools and practices.”

Richard Baraniuk, who founded OpenStax and is a Rice professor, will lead SafeInsights. He says he hopes the initiative will allow progress to be made for students learning in various contexts.

“Learning is complex," Baraniuk says in the release. "Research can tackle this complexity and help get the right tools into the hands of educators and students, but to do so, we need reliable information on how students learn. Just as progress in health care research sparked stunning advances in personalized medicine, we need similar precision in education to support all students, particularly those from underrepresented and low-income backgrounds.”

OpenStax awarded $90M to lead NSF research hub for transformational learning and education researchwww.youtube.com

2 Houston startups selected by US military for geothermal projects

hot new recruits

Two clean energy companies in Houston have been recruited for geothermal projects at U.S. military installations.

Fervo Energy is exploring the potential for a geothermal energy system at Naval Air Station Fallon in Nevada.

Meanwhile, Sage Geosystems is working on an exploratory geothermal project for the Army’s Fort Bliss post in Texas. The Bliss project is the third U.S. Department of Defense geothermal initiative in the Lone Star State.

“Energy resilience for the U.S. military is essential in an increasingly digital and electric world, and we are pleased to help the U.S. Army and [the Defense Innovation Unit] to support energy resilience at Fort Bliss,” Cindy Taff, CEO of Sage, says in a news release.

A spokeswoman for Fervo declined to comment.

Andy Sabin, director of the Navy’s Geothermal Program Office, says in a military news release that previous geothermal exploration efforts indicate the Fallon facility “is ideally suited for enhanced geothermal systems to be deployed onsite.”

As for the Fort Bliss project, Michael Jones, a project director in the Army Office of Energy Initiatives, says it’ll combine geothermal technology with innovations from the oil and gas sector.

“This initiative adds to the momentum of Texas as a leader in the ‘geothermal anywhere’ revolution, leveraging the robust oil and gas industry profile in the state,” says Ken Wisian, associate director of the Environmental Division at the U.S. Bureau of Economic Geology.

The Department of Defense kicked off its geothermal initiative in September 2023. Specifically, the Army, Navy, and Defense Innovation Unit launched four exploratory geothermal projects at three U.S. military installations.

One of the three installations is the Air Force’s Joint Base San Antonio. Canada-based geothermal company Eavor is leading the San Antonio project.

Another geothermal company, Atlanta-based Teverra, was tapped for an exploratory geothermal project at the Army’s Fort Wainwright in Alaska. Teverra maintains an office in Houston.

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This article originally ran on EnergyCapital.

Houston investor calls for all angels to move the ecosystem forward

houston innovators podcast episode 233

One of the biggest components of a well-functioning startup ecosystem is inarguably access to capital, and Mitra Miller is dedicated to enhancing education around investment and growing Houston's investor base.

As vice president and board member of the Houston Angel Network, the oldest angel network in Texas and one of the most active angel networks in the country, Miller strives to provide guidance to new and emerging angel investors as well as founders seeking to raise money from them.

"Most founders have no idea or understanding of how investors think — we are not an ATM," Miller says on the Houston Innovators Podcast. "We are really partners you are getting married to for the next 5, 8, 10 years — sometimes longer. We need to bring your allies in every sense of the word."



HAN, a nonprofit, provides a unique opportunity for its members, as Miller explains. The group consists of around 100 individuals from all business backgrounds, so evaluating companies together brings more than just a wealth of capital — but also a wealth of knowledge.

"What HAN provides is access to investments," Miller says, adding that members have the benefit in evaluating companies together with people from different backgrounds. "Inside a group like HAN, we have extraordinary expertise."

In addition to educating both founders and investors in the process, Miller has dedicated herself to providing opportunities for students in low-income parts of Houston to learn about the startup world. Eight years ago, she founded Eagle Investors, an organization that provides a year-long program that culminates in a group of students participating as judges for the Rice Business Plan Competition.

"They spend a year learning about innovation, entrepreneurship, and investing by meeting local investors, entrepreneurs, and service providers. They go around Houston to get to visit and ... experience all of the ecosystem," Miller says.

At RBPC, the cohort of high school students evaluate the pitches and select a company to provide a $5,000 prize.

Miller herself has been a judge at RBPC for 20 years now, and she's had a front row seat for watching Houston develop as an ecosystem. She's seen the city make real progress, but has one major call to action.

"The piece that I am most aware of that I would like to see grow is activating more accredited investors who are interested in this asset class of early-stage companies and plugging in," Miller says. "They can also invest their time and knowledge to help companies in our region grow and scale."

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