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.”

From Your Site Articles

Photo by Jasmin Merdan/Getty

Mastering control room management for smoother critical infrastructure operations

Up to Date

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.

------

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?

guest column

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:

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.
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).
Their network.

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

Free weekly lessons by YC partners — sometimes featuring unicorn alumni
A document and video Library (YC SAFE, etc)
Startup perks for students (AWS cloud credits, etc.)
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:

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.
Over 50 percent of the latest cohort were idea stage and heavily AI focused.
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."
Get beta testers and test from YC portfolio companies and YC network.
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.
They create a "fear of missing out" mentality on Sand Hill Road as they casually mention who they’re meeting with next.
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?

We have a massive amount of businesses — around 200,000 — and people — an estimated 7.3 million and growing.
We have capital in search of an identity beyond oil.
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.
We have a growing base of tech talent for potential machine learning and artificial intelligence talent
A sudden shot at the increasingly laid off big tech engineers.
We have more accelerators and incubators.

What do we need to pull it off?

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

------

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

Ad Placement 300x100

Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

Q&A: TIME100 AI honoree Angle Bush on building Houston’s artificial intelligence future

AI builder

Angle Bush, founder and CEO of Black Women in Artificial Intelligence, has a running question for her organization's members: Are you in the lab?

For Bush, inquiry isn’t philosophical. Learning about artificial intelligence is one thing. But building with it? Developing products, solving problems and creating a stake in the emerging AI economy? That’s another thing entirely—and exactly the point.

Bush’s own path into AI began in 2019 with an unlikely project: a robot named Usher, designed to bring her hot cocoa. She went down what she calls “YouTube University” to figure out how to build it and kept encountering another subject: artificial intelligence. Her curiosity eventually led her to a Houston AI event, where she noticed something missing.

She didn’t see a full reflection of herself, prompting a bigger question: If AI was becoming a transformative force, who would have a role in shaping it? Her answer became the premise for what came next: There couldn’t be an AI revolution without Black women.

Bush never finished Usher. Instead, she built Black Women in Artificial Intelligence, which has grown into a global organization with members across five continents.

Six years after launching BWIAI, the Houston founder was named to the 2026 TIME100 AI, TIME’s annual list recognizing 100 of the world’s most influential people in artificial intelligence.

The recognition is significant, but Bush is focused on what comes next: moving people beyond AI literacy and adoption and into creation—turning ideas into deployed products, building economic opportunity and ensuring more people have a hand in shaping the technology.

That mission brings Bush back to Houston, where she sees an opportunity to build on the city’s entrepreneurial culture while advancing conversations around responsible and ethical AI.

InnovationMap spoke with Bush about her TIME100 AI recognition, her push to get more people building with AI, Houston’s role in the technology’s future and her simple message: Get in the lab.

InnovationMap: What accomplishment at BWIAI are you most proud of?

Angle Bush: This past March, 11 of our members designed and deployed products and services utilizing artificial intelligence. For me, that's what we want to do. We're looking for builders. I continually ask our members: Are you in the lab? What are you building?

We have members here in Houston who built a conference app designed to help people better understand and navigate the conference experience. We also have Shonda and Shalisha Witherspoon, The Digital Twins, who created a patent assistant to help individuals interested in creating a patent for their product or service.

For me, watching those women move dreams from notebooks to deployment is more important than anything else. Notebooks are designed to hold your dreams, but not keep your dreams.

For NVIDIA's GPU Technology Conference, if you wanted to participate as part of the Black Women in AI delegation, you had to build something. You couldn't just give me a concept and say, “Hey, Angle, I'm building ABC.” No. I needed you to design it, build it and deploy it. That will continually be one of the things I'm most proud of.

IM: Why is building so important to you?

AB: I've been saying that from the beginning because I tell people all the time: I can talk all day. We can have this conversation all day. But at the end of the day, are we building? What is the result?

Conversation is great. It can provide insight. But we have to put our hands on products. We have to put our hands on the APIs. We have to put our hands on that knowledge and ask, What do we do with it?

After you learn it, what are you doing with it? Are you going to create an app that helps your family? Are you creating an app that allows you to be part of the AI economy in a way that you can control? We're all going to be part of the AI economy at some point based on our careers and everything else. But what part of it can you control?

IM: What's next for Black Women in Artificial Intelligence?

AB: I want to continue our mission to educate, engage, embrace and empower Black women in AI. I want our organization to serve as an opportunity for women to build. How do we build? How do we understand how to build? How do we move beyond how we've been conditioned and start asking questions—not only of ourselves, but also the right questions of corporations?

Long term, I want us to continue building, and then I want us to pass that knowledge and insight down to the next generation. But I also want us to reach back to generations that may not have had this opportunity when they were younger. Maybe they were discouraged from going into STEM when they were younger. I want them to know that you can still build. It doesn't matter what your age is. It doesn't matter what college or university you attended. If you have an idea, we want to democratize AI so that you can build.

IM: BWIAI's story began in Houston. What role do you think Houston can play in the AI boom?

AB: First, I absolutely love Houston. I'm originally from Chicago and was raised in Saginaw, Michigan. But as they say, I got to Houston as quickly as I could. I think Houston has a great opportunity to position itself as a center of excellence for innovation. We have an entrepreneurial spirit and drive that I believe is unmatched.

And as much as we have entrepreneurs, we also have advocates who want to see the ethical use of AI. I think we'll see a rise in entrepreneurship. Houston is already building that ecosystem with the Ion and other entities coming into the fold.

As far as the mark Black Women in Artificial Intelligence will make in Houston, I think we'll bring a different perspective to the city's AI ecosystem. We'll make an impact on the entrepreneurial side, but also on the advocacy side when it comes to the responsible and ethical use of AI, which isn't always talked about.

IM: One of the biggest concerns surrounding AI is its potential to displace workers faster than people can acquire new skills. How should we be thinking about that?

AB: In full transparency, that's a tough question to answer because AI is moving so quickly. There are so many different models and so many different things happening that it can appear as though they're coming out of thin air.

For me, it's a matter of how we work with individuals so they can think more about the system than the model, because the models can retire. The impact this is going to have on communities globally is going to be an interesting dynamic. With the work we're doing at Black Women in Artificial Intelligence, this is our mitigation system: How can we bring individuals along so they can learn artificial intelligence and understand that there is a pivot—and it's not coming. It's happening right now, live.

How can we create an ecosystem where individuals get the training, support and understanding they need? For me, that's how we mitigate it: by creating a space where individuals can learn how to pivot.

IM: If readers take one thing away from this conversation, what do you want it to be?

AB: How important it is to be in the lab. It is important to start building today—not tomorrow, not next week, not next month. We have to be in the lab today. That's it.

This interview has been edited for brevity and clarity.

UTMB launches new department for space medicine, names inaugural leader

department launch

In space, no one can hear you scream—but they can hear you discuss your medical history and recent symptoms.

The University of Texas Medical Branch (UTMB) announced last month that it would form a new Department of Aerospace and Exploration Medicine within its School of Public and Population Health under the leadership of Dr. Ronak V. Shah, who will serve as inaugural chair.

“Human exploration is changing rapidly, and the health challenges associated with distance, isolation, and limited resources are changing along with it,” Shah said in a news release. “Creating the Department of Aerospace and Exploration Medicine gives us an opportunity to build on decades of expertise at UTMB as we prepare for the future.”

The new department elevates UTMB’s existing Aerospace Medicine Division and provides "broader academic structure for expanding research, education, and collaboration across disciplines," according to the release. Shah was previously named director of the division in 2022 after serving as medical director of Johnson Space Center.

Space exploration in particular has a wide variety of highly specific medical side effects that are in need of the formalized study that the department will specialize in. For example, zero- and low-gravity environments cause everything from detached fingernails to flattened eyeballs. Even in modern, high-tech spacecraft, the human body feels the impacts of space.

It’s an area of medicine UTMB is uniquely suited for. Starting in the 1950s with NASA’s director of medical research Dr. Charles A. Berry, UTMB partnered with the blossoming era of exploration by monitoring astronauts. In 1993, UTMB and the NASA Johnson Space Center created the joint Aerospace Medicine Residency Program, which used bed facilities at the Galveston branch to simulate weightlessness. Wherever there has been a question about how flight and space affect health, odds are UTMB has been involved.

The Department of Aerospace and Exploration Medicine will launch several new initiatives soon. One planned for 2027 is an Undersea and Hyperbaric Medicine Fellowship that will allow scientists to study the physiology of high-pressure flight.

“In the era of a growing global space economy, we are revisiting questions such as who is flying, what is their destination, what vehicle will get them there?” Shah added in the release. “The answers to these questions will drive what research is needed and how we train the next generation.”

Energy AI company opens first U.S. office at Houston's the Ion

new to hou

Building on its partnership with Houston-based oilfield services provider Halliburton, energy-sector AI company Shape Digital recently opened an office at The Ion. It’s the company’s first U.S. location.

Shape Digital’s workforce in Houston includes employees specializing in tech support, business development and client services. The company’s local hiring projections and headcount weren’t available. The new office will be located within Industrious at the Ion, according to Rice Alliance.

A key driver of the new Houston office: The company forecasts North America will account for more than 20 percent of its business in 2027.

“North America is a critical market for industrial innovation, and Houston sits at the center of companies driving that progress,” Caio Sene, vice president of client services at Shape Digital, said in a release. “Growing our presence here allows us to work alongside operators as they look for practical ways to turn existing operational data into clear recommendations for what to do next.”

Shape Digital, which also has offices in Singapore and Brazil, develops decision-making platforms for the oil and gas sector.

The Ion District office gives Shape Digital a presence close to Halliburton’s headquarters. In May, the two companies forged a partnership to combine Halliburton’s Digital Field Solverdecision-making system with Shape Digital’s AI portfolio.

Shape Digital layers AI software atop existing operations data rather than replacing legacy systems or adding new software.

The company’s suite of AI agents draws on more than 200 operations-monitoring algorithms, continually learning from company and industry data. The suite comprises four products: Shape Aura, Shape Lighthouse, Shape Lumen and Shape Reef.

Shape Digital says that by working with a customer’s existing operations data, it can deliver ROI in less than two months without any additional investment in equipment or infrastructure.

The company is a 2021 spinoff of Japan-based Modec. Modec builds, owns, and operates floating offshore oil and gas production facilities. Its Modec America subsidiary is based in Houston.

View All Listings

INNOVATIONMAP EMAILS ARE AWESOME