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

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.”

Eric Ingram and Sergio Gallucci of SCOUT are focused on creating data-driven solutions to space technology management to save companies billions and prevent space debris. Photos courtesy of SCOUT

Tech startup lands in Houston to help space support services take off

space tech

A Virginia-based space company startup focusing on developing small and inexpensive satellites is making an out-of-this-world entrance in the Houston commercial innovation space.

SCOUT has been selected as part of the 2020 MassChallange's Texas in Houston cohort, a zero-equity startup accelerator, in the commercial space track and is planning a demonstration mission with the Johnson Space Center in 2021.

The startup, founded in 2019 by Eric Ingram and joined shortly after by Sergio Gallucci. Both have years of experience in innovative research and development, leading teams across academia, government, and industry. Their data will help manufacturers and operators extend satellite lifetimes, avoid failing satellites, reducing up to a billion dollars in losses.

"If we want further operate in space and grow our space presence overall," Eric Ingram, CEO-and-founder tells InnovationMap. "We need to have a safe environment to expand that presence so any time you have unchecked failures and space debris is a problem. We want to help take some of the riskiness out of space operations by providing data that doesn't already exist."

SCOUT provides a wide array of new products based on data to produce small and inexpensive satellites to perform in-space inspections of large and expensive satellites. Their data and spaceflight autonomy software helps spacecraft detect, identify, and refine models for observed objects to gather information and enable autonomous operations.

The space startup's observation and comprehension capabilities creates data products for customers, such as Spacecraft Sensor Suites and Satellite Inspections. The former is a sensor suite under current development to enable a new way to monitor satellites in space while the latter consists of their small satellites that can enable on-demand and on-site inspections for space assets.

This, according to Ingram, is changing the paradigm of operational risk in space.

"If we are able to better understand how these satellites age over time and diagnose problems before they become catastrophic failures," says Ingram "We can prevent space debris from even happening. The more safety and responsibility in space, the better it is for everyone to increase their technology and investment in what is a very rapidly growing industry."

Lost satellites tend to happen often, resulting in about $300 million lost in hardware and around $40 million annual revenue gone. Spacecrafts in outer space can be part of many unpredictable interactions that can be difficult to trace including solar activity, thermal, mechanical wear, and outgassing.

SCOUT will focus the rest of the year in growing their company, despite the setbacks caused by the coronavirus. Their priority is to meet their fundraising and technical milestones while engaging in strategic partnerships with satellite industry players.

"The space industry is growing and is becoming a more realistic and viable avenue for business growth and investment," says Ingram. "Houston is a diverse city with innovation at every front and the effort that NASA is going through to aid the commercial space industry, combined with the startup accelerators that there is a lot of adjacent opportunities and overlap in capabilities."

The NASA-backed Translational Research Institute for Space Health is innovating the future of life in space. Libby Neder Photography

Houston-based organization tasked by NASA to take risks and innovate solutions in space health

HOUSTON INNOVATORS PODCAST EPISODE 14

For Dorit Donoviel, innovation means risk — and there's not a lot that's riskier than traveling to and living in outer space. As director of Houston-based TRISH — the Translational Research Institute for Space Health — Donoviel is tasked by NASA to take some risks in order to innovate.

"Everyone tosses the word 'innovation' around, but that means, to us, taking risks in science. Health care, in particular, is very risk averse, but the space industry is taking risks every single day when they put people in a rocket and hurl them into space," Donoviel says on this week's episode of the Houston Innovators Podcast. "If we're going to mars, for example, we are going to put people at risk.

"For us to take risks in order to reduce risk is a really amazing opportunity."

TRISH works hand in hand with NASA's Human Research Program to identify the program's biggest concerns, and then tap into professors, researchers, and scientists from Baylor College of Medicine, California Institute of Technology, the Massachusetts Institute for Technology, and other partners in order to innovate solutions.

Some of the issues TRISH is working to provide solutions for range from protecting from radiation exposure on the moon and mars to personal health care — astronauts have to be a doctor to themselves when they are on the space station.

"That's a totally new model for health care, so we have to solve all those problems and invest in them," Donoviel says.

In a lot of ways, TRISH connects the dots of modern space research, explains Donoviel. The organization taps into its researcher network, as well as into startups and companies with innovative technologies, in order to deliver the best space innovations to NASA.

Donoviel goes into more details on how TRISH interacts with entrepreneurs as well as what new technologies the organization has seen success with in the episode. Stream the podcast below, and subscribe wherever you get your podcasts.


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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”