Houston university to launch artificial intelligence major, one of first in nation

BS in AI

Rice University's new Bachelor of Science in AI will be one of only a few in the country. Photo via Getty Images.

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”

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Mastering control room management for smoother critical infrastructure operations

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Control room management (CRM) systems play an integral role in ensuring the safe and efficient remote operations of automated processes for the world's most critical infrastructures (CI). If anything goes wrong with these CIs, the risks are major: loss of life or catastrophic environmental disasters. For this reason, rigorous regulatory requirements are crucial.

CRM systems give operators the ability to automate and take control of CI processes, giving operators situational awareness and real-time visibility of remote assets. This minimizes the need for manual work and inspection, and scales a company's ability to safely manage many assets over a large geographical area from one control room.

Most CI have to handle hazardous material in some, if not all, of their operational areas. Though different by industry, regulations and oversight are extremely necessary.

ICS (Industrial Control Systems) and CRM tools are key components of real-time monitoring for advanced warning and emergency alarming. The combination of a “green, amber, red” alert on the screen of an operator's control console will prompt them to respond, and potentially lead to following emergency shut-down response procedures. Training and testing of the control systems and their related standards, procedures, and activities are all recorded in a system of record in compliance with regulatory requirements.

Current challenges
One of the biggest challenges is the ability to easily aggregate the data from the many different systems and integrate them with the operator's daily activity and responses to the many notifications they receive. This makes it difficult for handover, when a new control room operator comes in fresh to take over from the operator coming off duty. Ensuring a clean and clear handover that encompasses all the pertinent information, so that the new operator can take over the console with ease and clarity, is much more difficult than some would imagine.

Another issue is the sheer volume of data. When you have thousands of sensors streaming data, it is not unrealistic for a console to receive a few thousand data points per second. Performance and continuity are priorities on a CI control room console(s). So there is no room for error — meaning there is no room for big (quite literally) data.

All of this means that real-time data must be pushed off the operational and process control network and moved into an area where there are no controls, but big data can be stored to produce big-data analytic capabilities, enabling AI, machine learning, and other data science.

Controller/operator fatigue is also an issue. Manual tracking, documenting, and record-keeping increases fatigue, leading to more mistakes and omissions.

Opportunities for improvement
The Houston-based Tory Technologies, Inc. is a corporation specializing in advanced software applications, creating and integrating various innovative technologies, and providing solutions for control room management and electronic flow measurement data management.

Tory Technologies, Inc. can help with the auto population of forms, inclusion of historical alarms and responses, and easy handover of control with active/open issues highlighted, making for an easier transition from one operator to the next.

"CRM is essential for keeping operations safe and efficient in industries where mistakes can lead to serious problems," says Juan Torres, director of operations - MaCRoM at Tory Technologies, Inc. "While many control rooms have worked hard to meet compliance standards, challenges remain that can affect performance and safety. It's not enough to just meet the basic rules; we need to go further by using smarter tools and strategies that make CRM more than just compliant, but truly effective."

Shaun Six, president of UTSI International, notes that, "CRM solutions are scalable. A smart integration with relevant systems and related data will reduce 'white noise' and increase relevance of data being displayed at the right time, or recalled when most helpful."

The future state
Offering CRM as a service for non-regulated control rooms will give economies of scale to critical infrastructure operators, which will allow dispatching, troubleshooting, and network monitoring so operators can focus on more value-add activities.

It can also virtualize network monitoring, ensuring that field machines and edge computers are compliant with industry and company standards and are not exposed to external threats.

Even better: Much of this can be automated. Smart tools can look through each device and test that passwords are changed, configurations are secure, and firmware/software has been properly patched or safeguarded against known exploits.

The sheer volume of data from these exercises can be overwhelming to operators. But a trained professional can easily filter and curate this data, cutting through the noise and helping asset owners address high-risk/high-probability exploits and plan/manage them.

Ultimately, the goal is to make control rooms efficient, getting the right information to the right people at the right time, while also retaining and maintaining required documents and data, ensuring an operators “license to operator” is uninterrupted and easily accessible to external parties when requested or needed.

Integrating smart CRM systems, network monitoring tools, and testing/validating processes and procedures are all easily accessible with current technological capabilities and availability, letting operators focus on the task at hand with ease and peace of mind.

BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies. Photo via Getty Images

Houston researchers create AI model to tap into how brain activity relates to illness

brainiac

Houston researchers are part of a team that has created an AI model intended to understand how brain activity relates to behavior and illness.

Scientists from Baylor College of Medicine worked with peers from Yale University, University of Southern California and Idaho State University to make Brain Language Model, or BrainLM. Their research was published as a conference paper at ICLR 2024, a meeting of some of deep learning’s greatest minds.

“For a long time we’ve known that brain activity is related to a person’s behavior and to a lot of illnesses like seizures or Parkinson’s,” Dr. Chadi Abdallah, associate professor in the Menninger Department of Psychiatry and Behavioral Sciences at Baylor and co-corresponding author of the paper, says in a press release. “Functional brain imaging or functional MRIs allow us to look at brain activity throughout the brain, but we previously couldn’t fully capture the dynamic of these activities in time and space using traditional data analytical tools.

"More recently, people started using machine learning to capture the brain complexity and how it relates it to specific illnesses, but that turned out to require enrolling and fully examining thousands of patients with a particular behavior or illness, a very expensive process,” Abdallah continues.

Using 80,000 brain scans, the team was able to train their model to figure out how brain activities related to one another. Over time, this created the BrainLM brain activity foundational model. BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies.

Abdallah said that using BrainLM will cut costs significantly for scientists developing treatments for brain disorders. In clinical trials, it can cost “hundreds of millions of dollars,” he said, to enroll numerous patients and treat them over a significant time period. By using BrainLM, researchers can enroll half the subjects because the AI can select the individuals most likely to benefit.

The team found that BrainLM performed successfully in many different samples. That included predicting depression, anxiety and PTSD severity better than other machine learning tools that do not use generative AI.

“We found that BrainLM is performing very well. It is predicting brain activity in a new sample that was hidden from it during the training as well as doing well with data from new scanners and new population,” Abdallah says. “These impressive results were achieved with scans from 40,000 subjects. We are now working on considerably increasing the training dataset. The stronger the model we can build, the more we can do to assist with patient care, such as developing new treatment for mental illnesses or guiding neurosurgery for seizures or DBS.”

For those suffering from neurological and mental health disorders, BrainLM could be a key to unlocking treatments that will make a life-changing difference.

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

Houston researcher scores prestigious NSF award for machine learning, power grid tech

grant funding

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.

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This article originally ran on EnergyCapital.

The NIH grant goes toward TransplantAI's work developing more precise models for heart and lung transplantation. Photo via Getty Images

Houston health tech company scores $2.2M grant to use AI to make organ transplants smarter, more successful

future of medicine

The National Institute of Health has bestowed a Houston medtech company with a $2.2 million Fast-Track to Phase 2 award. InformAI will use the money for the product development and commercialization of its AI-enabled organ transplant informatics platform.

Last year, InformAI CEO Jim Havelka told InnovationMap, “A lot of organs are harvested and discarded.”

TransplantAI solves that problem, as well as organ scarcity and inefficiency in allocation of the precious resource.

How does it work? Machine learning and deep learning from a million donor transplants informs the AI, which determines who is the best recipient for each available organ using more than 500 clinical parameters. Organ transplant centers and organ procurement organizations (OPOs) will be able to use the product to make a decision on how to allocate each organ in real time. Ultimately, the tool will service 250 transplant centers and 56 OPOs around the United States.

The NIH grant goes toward developing more precise models for heart and lung transplantation (kidney and liver algorithms are further along in development thanks to a previous award from the National Science Foundation), as well as Phase 2 efforts to fully commercialize TransplantAI.

"There is an urgent need for improved and integrated predictive clinical insights in solid organ transplantation, such as for real-time assessment of waitlist mortality and the likelihood of successful post-transplantation outcomes," according to the grant’s lead clinical investigator, Abbas Rana, associate professor of surgery at Baylor College of Medicine.

“This information is essential for healthcare teams and patients to make informed decisions, particularly in complex cases where expanded criteria allocation decisions are being considered," Rana continues. "Currently, the separation of donor and recipient data into different systems requires clinical teams to conduct manual, parallel reviews for pairing assessments. Our team, along with those at other leading transplant centers nationwide, receives hundreds of organ-recipient match offers weekly.”

Organ transplantation is moving into the future, and Transplant AI is at the forefront.

Houston can learn a lot from the decades of success from Silicon Valley, according to this Houston founder, who outlines just what all the city needs to do to become the startup city it has the potential to be. Photo via Getty Images

Houston expert: Can Houston replicate and surpass the success of Silicon Valley?

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Anyone who knows me knows, as a Houston Startup Founder, I often muse about the still developing potential for startups in Houston, especially considering the amount of industry here, subject matter expertise, capital, and size.

For example, Houston is No. 2 in the country for Fortune 500 Companies — with 26 Bayou City companies on the list — behind only NYC, which has 47 ranked corporations, according to Fortune.

Considering layoffs, fund closings, and down rounds, things aren’t all that peachy in San Francisco for the first time in a long time, and despite being a Berkeley native, I’m rooting for Houston now that I’m a transplant.

Let’s start by looking at some stats.

While we’re not No. 1 in all areas, I believe we have the building blocks to be a major player in startups, and in tech (and not just energy and space tech). How? If the best predictor of future success is history, why not use the template of the GOAT of all startup cities: San Francisco and YCombinator. Sorry fellow founders – you’ve heard me talk about this repeatedly.

YCombinator is considered the GOAT of Startup Accelerators/Incubators based on:

  1. The Startup success rate: I’ve heard it’s as high as 75 percent (vs. the national average of 5 to 10 percent) Arc Search says 50 percent of YC Co’s fail within 12 years – not shabby.
  2. Their startup-to-unicorn ratio: 5 to 7 percent of YC startups become unicorns depending on the source — according to an Arc Search search (if you haven’t tried Arc Search do – super cool).
  3. Their network.

YC also parlayed that success into a "YC Startup School" offering:

  1. Free weekly lessons by YC partners — sometimes featuring unicorn alumni
  2. A document and video Library (YC SAFE, etc)
  3. Startup perks for students (AWS cloud credits, etc.)
  4. YC co-founder matching to help founders meet co-founders

Finally, there’s the over $80 billion in returns, according to Arc search, they’ve generated since their 2005 inception with a total of 4,000 companies in their portfolio at over $600 billion in value. So GOAT? Well just for perspective there were a jaw-dropping 18,000 startups in startup school the year I participated – so GOAT indeed.

So how do they do it? Based on anecdotal evidence, their winning formula is said to be the following well-oiled process:

  1. Bring over 282 startups (the number in last cohort) to San Francisco for 90 days to prototype, refine the product, and land on the go-to-market strategy. This includes a pre-seed YC SAFE investment of a phased $500,000 commitment for a fixed min 7 percent of equity, plus more equity at the next round’s valuation, according to YC.
  2. Over 50 percent of the latest cohort were idea stage and heavily AI focused.
  3. Traction day: inter-portfolio traction the company. YC has over 4,000 portfolio companies who can and do sign up for each other’s companies products because “they’re told to."
  4. Get beta testers and test from YC portfolio companies and YC network.
  5. If they see the traction scales to a massively scalable business, they lead the seed round and get this: schedule and attend the VC meetings with the founders.
  6. They create a "fear of missing out" mentality on Sand Hill Road as they casually mention who they’re meeting with next.
  7. They block competitors in the sector by getting the top VC’s to co-invest with then in the seed so competitors are locked out of the A list VC funding market, who then are up against the most well-funded and buzzed about players in the space.

If what I've seen is true, within a six-month period a startup idea is prototyped, tested, pivoted, launched, tractioned, seeded, and juiced for scale with people who can ‘make’ the company all in their corner, if not already on their board.

So how on earth can Houston best this?

  1. We have a massive amount of businesses — around 200,000 — and people — an estimated 7.3 million and growing.
  2. We have capital in search of an identity beyond oil.
  3. Our Fortune 500 companies that are hiring consultants for things that startups here that can do for free, quicker, and for a fraction of the extended cost.
  4. We have a growing base of tech talent for potential machine learning and artificial intelligence talent
  5. A sudden shot at the increasingly laid off big tech engineers.
  6. We have more accelerators and incubators.

What do we need to pull it off?

  1. An organized well-oiled YC-like process
  2. An inter-Houston traction process
  3. An "Adopt a Startup" program where local companies are willing to beta test and iterate with emerging startup products
  4. We have more accelerators but the cohorts are small — average five to 10 per cohort.
  5. Strategic pre-seed funding, possibly with corporate partners (who can make the company by being a client) and who de-risk the investment.
  6. Companies here to use Houston startup’s products first when they’re launched.
  7. A forum to match companies’ projects or labs groups etc., to startups who can solve them.
  8. A process in place to pull all these pieces together in an organized, structured sequence.

There is one thing missing in the list: there has to be an entity or a person who wants to make this happen. Someone who sees all the pieces, and has the desire, energy and clout to make it happen; and we all know this is the hardest part. And so for now, our hopes of besting YC may be up in the air as well.

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Jo Clark is the founder of Circle.ooo, a Houston-based tech startup that's streamlining events management.

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What to expect from the inaugural TiECon Texas event this week

where to be

Innovators and entrepreneurs will gather in Houston this week to show off their latest advancements in automation during the first-ever TiECon Texas conference at the Ion District.

“Automation is not simply changing how we work. It is redefining how value is created across every industry,” Somesh Singh, president of TiE Houston, said in a release. “Texas has the talent, the infrastructure, and the entrepreneurial spirit to lead this transformation. TiEcon Texas 2026 is where the people building that future will come together to shape it."

The Indus Entrepreneurs (TiE) started in Silicon Valley in 1994 as a two-day seminar, but has grown into a worldwide network of events celebrating technological advancement. TiECon in Houston is a merger of the TiE networks across Texas for one large-scale event taking place at the Ion on Wednesday, October 28, and Thursday, October 29. Tickets are available here.

The event includes a partnership with Hatch Pitch, a founder-first startup showcase that has raised over $20 billion in funding for new companies in the tech industry. Participants will come from industries like space exploration, healthcare, energy, and the AI sector to present their ideas in front of an investor network for possible development.

“Over 80 percent of the teams we have coached have gone on to receive funding,” Greg Wright, founder of Hatch Pitch, added in a release.

In addition, there will be forums and talks on a variety of automation subjects, everything from robotic surgery to automation in government. Educators from Baylor College of Medicine, UTHealth Houston, and the University of Houston plan to discuss the raising of children in a world with extensive artificial intelligence integrated into so many areas. Steven Kean, President and CEO of the Greater Houston Partnership, will give the keynote speech on the Bayou City’s place in these emerging technological spheres.

Singh highlighted how the large-scale disruptions in the technological status quo by the rise of AI could be a sign of potential growth and innovation. The entrepreneurs presenting at TiECon may be the ones to harness the sometimes unsteady AI industry for good causes.

“History shows that periods of technological disruption create extraordinary opportunities for those prepared to act,” he said. “TiEcon Texas is designed to help founders, investors, and enterprises understand where the automation economy is headed and how to participate in building it."

Here are the 10 startups pitching during the TiE Hatch Pitch competition:

Houston startup makes Time's list of the best inventions of 2026

Innovation Station

One of the year's most buzzworthy innovations comes from a Houston-based leader in the energy transition. Utility Global's H2Gen recently made Time magazine’s list of the 300 best inventions of 2026.

The H2Gen is an innovative system that produces low-cost clean hydrogen from water and industrial off-gases. The company says the process doesn’t require electricity, a notable claim since hydrogen production typically consumes a lot of power.

"Using a tubular electrochemical cell containing a proprietary electrolyte and water, the company can turn industrial off-gases into hydrogen at scale—no extra electricity required," writes Time. "Bonus: the process also pulls out carbon dioxide as a separate stream, where it can be captured and kept out of the atmosphere.

CEO Parker Meeks tells Time, it's “a practical pathway to decarbonize existing industrial assets."

The startup is on a roll. It has raised $100 million so far in an ongoing Series D round to offer its decarbonization technology at industrial scale around the world.

H2Gen is joined by 10 other inventions with Texas connections onTime's list, as well as one "special mention."

In North Texas, they are:

Samsung
Plano-based Samsung Electronics America pulled off a hat trick this year, with three products making Time’s list. First up is the Galaxy S26 Ultra smartphone. It packs a more powerful camera, Galaxy AI features, and pro-level content creation tools. But Time singled out its new built-in privacy display as the phone’s “biggest selling point.”

Samsung’s Bespoke AI Family Hub refrigerator also got smarter. When AI first came to the Family Hub in 2024, it could recognize some fresh foods, but you still had to log packaged items by hand, Time noted. Now, with Google Gemini built in, the fridge can identify more than 2,000 packaged foods, read handwritten labels, and warn you when food is about to expire. It then uses what’s inside to build grocery lists and suggest recipes.

And for gamers, there’s the Odyssey G8 monitor. Its 6K resolution leapfrogs the 4K standard, delivering what Samsung calls “exceptional visual clarity and detail” on a screen big enough for gaming and multitasking.

OxeFit
Plano-based OxeFit’s XS1 Peak is about the size of a treadmill but works like an entire gym. It can be set up for strength training, simulated skiing or kayaking, Pilates, or rowing. What makes it stand out is a built-in virtual spotter. According to Time, the machine “uses AI, computer vision and sensors to correct the user’s form, change resistance in the middle of a rep and reduce the weight when the user is struggling, much like a human spotter.”

EssilorLuxottica
EssilorLuxottica, the French eyewear giant whose U.S. headquarters is in Farmers Branch, makes Essilor Stellest lenses. The lenses correct nearsightedness while also slowing the eye growth that makes it worse over time. Stellest is the first and only eyeglass lens authorized by the U.S. Food and Drug Administration to control myopia, Time said. The lenses look like regular glasses but contain 1,021 tiny lenslets. In a U.S. trial of kids ages 6-12, myopia progression slowed by an average of 71 percent over two years compared with standard lenses.

Helpany
Helpany, a startup based in Phoenix that manufactures its devices in DFW, makes Paul, a ceiling-mounted gadget that uses radar and AI to spot subtle changes in how residents move and flag those at higher risk of falling. Helpany says the technology can cut falls by as much as 72 percent.

Aurora Innovation
Aurora, based in Pittsburgh with a corporate and operations hub in Coppell, rolled out its second-generation Driver 2 system in July. By September, Driver 2 trucks had logged more than 500,000 driverless miles without a single at-fault crash, Time reported, and the company expects 200 of them on the road by the end of 2026.

Colossal Biosciences
Dallas-based Colossal Biosciences built an artificial egg by placing an ultra-thin, transparent silicone membrane inside a rigid 3D-printed cup, letting scientists watch the embryo develop. Twenty-six chickens have already been hatched.

In Austin, they are:
Cedar Park-based Hyliion landed on Time’s list with its Karno Power Module, a modular generator designed to produce power wherever it’s needed. The Karno represents a big pivot for the company. Hyliion got its start building electrified powertrains for 18-wheelers before shifting into power generation after acquiring the Karno generator technology from GE Aerospace. Founded in Pittsburgh in 2015, the company relocated to Cedar Park in 2018.

The other Austin-associated honoree is Moment Energy. As more electric vehicles hit the road, a growing number of their batteries are nearing retirement, while demand for power keeps climbing. Moment Energy found a way to tackle both problems at once. The company’s Megafactory 1, which opened in Vancouver, Canada, in June, turns old EV batteries into modular energy storage systems for hospitals, factories, data centers, and other big power users. “Our goal is to make sure these batteries don’t end up in landfills,” founder Edward Chiang told Time.

In the “Special Mentions” category, Austin-based Renzoe Box gained notice for its refillable custom makeup palette for on-the-go people. Licensed architect René Graham designed the box. She graduated from Houston's Rice University, and was born and raised in Dallas.

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A version of this article first appeared on CultureMap.com.

4 Houston health tech startups advancing medical innovation

meet the finalists

Houston has been driving medical innovation for decades. And thanks to leading hospitals, cutting-edge research and breakthrough technologies, the region’s healthcare ecosystem continues to improve how patients are diagnosed, treated and cared for.

The Health Tech Business category in our 2025 Houston Innovation Awards will honor an innovative startup within the health and medical technology sectors.

Four forward-thinking businesses have been named finalists for the 2026 award. This year's finalists, selected by our esteemed panel of judges, range from a startup developing miniaturized medical technologies for space to a company using AI to help develop cancer treatment plans.

Read more about these businesses, their innovative founders, and how they're shaping the future of health care below.. The 2026 winners will be announced on InnovationMap.com in mid-November.

Bairitone Health

Bairitone Health is bringing anatomy imaging for sleep apnea to the home environment. The company's platform maps users' anatomy during natural sleep using a facial patch to determine the root cause of airway obstruction. It then offers effective therapies for each patient.

The company was founded in 2022 in the Texas Medical Center's Biodesign program by CEO Meagan Pitcher, CTO Onur Kilic and chief medical officer Britt Cross. It was a member of Activate Houston's inaugural cohort and has participated in numerous accelerators and incubators. The company raised an oversubscribed seed round for $2.4 million earlier this year and received Breakthrough Device Designation from the Food and Drug Administration in April.

InformAI Inc.

InformAI Inc. develops fit-to-purpose AI solutions for the clinical setting. Its RadOncAI product recently received FDA 510(k) clearance. The product uses AI to create a first-pass radiation therapy dose plan for complex head and neck cancers in an effort to eliminate bottlenecks in radiation planning and ultimately cancer treatment. The company has also developed AI products for sinus disease detection and 3D organ reconstruction.

CEO Jim Havelka founded the company in 2017. It is participating in the Mayo Clinic Accelerate Platform. It has raised about $4 million in seed funding and has received numerous non-dilutive grants from the National Science Foundation, the National Institutes of Health and the Cancer Prevention and Research Institute of Texas. The company shared in its application that it plans to launch a Series A fundraising round and submit an FDA 510K application for its organ reconstruction product, Voluquant, by the end of 2026.

Prana Surgical

Prana Surgical is developing a minimally invasive surgical platform for small, hard-to-reach lung nodules that may be cancerous. The company's Prana System cleared U.S. Food and Drug Administration (FDA) approval earlier this year.

Prana Surgical was originally founded as Prana Thoracic in 2022. It has participated in numerous accelerators, including the Texas Medical Center Innovation Accelerator in 2023 and the IGNITE Health accelerator in 2022. It raised $6 million in Series A funding rounds in 2023 and 2024 , with a Series B currently ongoing. The company said in its application that it is currently moving into the next stage of clinical validation and revenue generation in the U.S., in addition to preparing its manufacturing and commercial infrastructure for broader use.

Skybound MedTech

Skybound MedTech develops technologies that aim to address the health risks of long-duration spaceflight. Its compact, miniaturized medical technologies can deliver complex therapies without a physician.

CEO Matthew Kuhn, who previously founded Taurus Vascular, founded Skybound last year. The company emerged from stealth in January after raising a $1.25 million Series A round. It plans to advance its lead dual-use platform into critical preclinical validation in November, the company shared in its application. It is currently raising a $25 million Series A round and is pursuing federal research partnerships with DARPA and ARPA-H.

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