Houston data solutions startup rebrands, expands to support neuroscience research

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This health tech company has made some significant changes in order to keep up with its growth. Photo via Getty Images

With a new CEO and chief operating officer aboard, Houston-based DataJoint is thinking small in order to go big.

Looking ahead to 2022, DataJoint aims to enable hundreds of smaller projects rather than a handful of mega-projects, CEO Dimitri Yatsenko says. DataJoint develops data management software that empowers collaboration in the neuroscience and artificial intelligence sectors.

"Our strategy is to take the lessons that we have learned over the past four years working with major projects with multi-institutional consortia," Yatsenko says, "and translate them into a platform that thousands of labs can use efficiently to accelerate their research and make it more open and rigorous."

Ahead of that shift, the startup has undergone some significant changes, including two moves in the C-suite.

Yatsenko became CEO in February after stints as vice president of R&D and as president. He co-founded the company as Vathes LLC in 2016. Yatsenko succeeded co-founder Edgar Walker, who had been CEO since May 2020 and was vice president of engineering before that.

In tandem with Yatsenko's ascent to CEO, the company brought aboard Jason Kirkpatrick as COO. Kirkpatrick previously was chief financial officer of Houston-based Darcy Partners, an energy industry advisory firm; chief operating officer and chief financial officer of Houston-based Solid Systems CAD Services (SSCS), an IT services company; and senior vice president of finance and general manager of operations at Houston-based SmartVault Corp., a cloud-based document management company.

"Most of our team are scientists and engineers. Recruiting an experienced business leader was a timely step for us, and Jason's vast leadership experience in the software industry and recurring revenue models added a new dimension to our team," Yatsenko says.

Other recent changes include:

  • Converting from an LLC structure to a C corporation structure to enable founders, employees, and future investors to be granted shares of the company's stock.
  • Shortening the business' name to DataJoint from DataJoint Neuro and recently launching its rebranded website.
  • Moving the company's office from the Texas Medical Center Innovation Institute (TMCx) to the Galleria area. The new space will make room for more employees. Yatsenko says the 12-employee startup plans to increase its headcount to 15 to 20 by the end of this year.

Over the past five years, the company's customer base has expanded to include neuroscience institutions such as Princeton University's Princeton Neuroscience Institute and Columbia University's Zuckerman Institute for Brain Science, as well as University College London and the Norwegian University of Science and Technology. DataJoint's growth has been fueled in large part by grants from the U.S. Defense Advanced Research Projects Agency (DARPA) and the Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative at the National Institutes of Health (NIH).

"The work we are tackling has our team truly excited about the future, particularly the capabilities being offered to the neuroscience community to understand how the brain forms perceptions and generates behavior," Yatsenko says.

A Houston-based software startup received a multimillion-dollar grant from the National Institutes of Health for its work within neurophysiology. Getty Images

Data science startup based in Houston focus on neuroscience software nabs $3.78M grant

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Armed with a nearly $3.8 million federal grant, a Houston startup aims to boost neuroscience research around the world.

Vathes LLC, a developer of data management software that collaborates with neuroscience research labs in North America and Europe, recently received the $3.78 million grant from the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative at the National Institutes of Health (NIH). That initiative is part of the National Institute of Neurological Disorders and Stroke.

Vathes says the NIH funding will enable the startup to ramp up its DataJoint Pipelines for Neurophysiology project. The project aims to make open-source software for data science and engineering available to researchers who specialize in neurophysiology, a branch of neuroscience that looks at how the nervous system functions. The pipeline project holds the promise of benefiting research in areas like autism, Alzheimer's disease, and amyotrophic lateral sclerosis (ALS, or Lou Gehrig's disease).

The project's principal investigator is Dimitri Yatsenko, vice president of research and development at Vathes. Technologically speaking, neuroscientists are playing catch-up with their counterparts in fields like astrophysics, genomics, and bioinformatics, according to Yatsenko.

Neuroscience "is undergoing a fast transformation in terms of moving toward much more data-centric, data-intensive, computation-intensive, and collaborative projects," Yatsenko says. This means that neuroscientists are "now finding themselves having to quickly adapt to an environment," he adds, "where they have to share big data and computations with their collaborators in very dynamic settings and perform them in a very fluid way."

Yatsenko says the NIH-funded project will help smaller research groups tap into the technical expertise of larger research labs.

Vathes' DataJoint Neuro platform and services, which help create so-called DataJoint pipelines, enable neuroscientists to streamline, analyze, and visualize complex data. Among its customers are Princeton University's Neuroscience Institute and Columbia University's Zuckerman Institute. The federally funded project will empower smaller labs to capitalize on existing DataJoint pipelines as ready-to-go turnkey packages, Yatsenko says.

In essence, Vathes' technology acts as a translator. Big research labs collect data in databases that can vary by computer language and platform. Through the Vathes setup, that data can be incorporated by a lab of any size into algorithmic, machine learning, and artificial intelligence mechanisms, regardless of the computer language or platform.

Edgar Walker, CEO of Vathes, says this simplifies the construction and use of databases, giving scientists "more room to focus on the logic of their data pipeline rather than on the physical implementation of it."

Founded in 2016, Vathes is housed at the Texas Medical Center's Innovation Institute. It employs 10 people. The startup previously received a $100,000 grant from the U.S. Defense Advanced Research Projects Agency (DARPA).

Yatsenko says the project backed by the $3.78 million NIH grant will propel the startup's growth, as it "gives us a big window of opportunity" to provide tools and services that support the startup's open-source software.

"As the NIH and other funding agencies are shifting a lot of their focus to collaborative projects that are distributed among multiple institutions," Walker says, "we've established a reputation as the company that can facilitate such research, be efficient, and actually be cost-effective as well, and make the projects very smooth."

"We expect to continue to grow this business at the same exponential rate," he adds. "We'll keep our fingers crossed and see how things go."


CEO Edgar Walker (left) and Dimitri Yatsenko, vice president of research and development, lead Houston-based Vathes. Photos courtesy of Vathes

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Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

Houston energy trailblazer Fervo closes $462 million Series E

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Houston-based geothermal energy company Fervo Energy has closed an oversubscribed $462 million series E funding round, led by new investor B Capital.

“Fervo is setting the pace for the next era of clean, affordable, and reliable power in the U.S.,” Jeff Johnson, general partner at B Capital, said in a news release.

“With surging demand from AI and electrification, the grid urgently needs scalable, always-on solutions, and we believe enhanced geothermal energy is uniquely positioned to deliver. We’re proud to support a team with the technical leadership, commercial traction, and leading execution capabilities to bring the world’s largest next-generation geothermal project online and make 24/7 carbon-free power a reality.”

The financing reflects “strong market confidence in Fervo’s opportunity to make geothermal energy a cornerstone of the 24/7 carbon-free power future,” according to the company. The round also included participation from Google, a longtime Fervo Partner, and other new and returning investors like Devon Energy, Mitsui & Co., Ltd., Mitsubishi Heavy Industries and Centaurus Capital. Centaurus Capital also recently committed $75 million in preferred equity to support the construction of Cape Station Phase I, Fervo noted in the release.

The latest funding will support the continued buildout of Fervo’s Utah-based Cape Station development, which is slated to start delivering 100 MW of clean power to the grid beginning in 2026. Cape Station is expected to be the world's largest next-generation geothermal development, according to Fervo. The development of several other projects will also be included in the new round of funding.

“This funding sharpens our path from breakthrough technology to large-scale deployment at Cape Station and beyond,” Tim Latimer, CEO and co-founder of Fervo, added in the news release. “We’re building the clean, firm power fleet the next decade requires, and we’re doing it now.”

Fervo recently won Scaleup of the Year at the 2025 Houston Innovation Awards, and previously raised $205.6 million in capital to help finance the Cape Station earlier this year. The company fully contracted the project's capacity with the addition of a major power purchase agreement from Shell this spring. Fervo’s valuation has been estimated at $1.4 billion and includes investments and support from Bill Gates.

“This new investment makes one thing clear: the time for geothermal is now,” Latimer added in a LinkedIn post. “The world desperately needs new power sources, and with geothermal, that power is clean and reliable. We are ready to meet the moment, and thrilled to have so many great partners on board.”

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This article originally appeared on EnergyCapitalHTX.com.

Baylor center receives $10M NIH grant to continue rare disease research

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Baylor College of Medicine’s Center for Precision Medicine Models received a $10 million, five-year grant from the National Institutes of Health last month that will allow it to continue its work studying rare genetic diseases.

The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments.

The center was originally funded by an NIH grant, and its models have contributed to the discovery of several new rare disease genes and new symptoms caused by known disease genes. It hosts an online portal that allows physicians, families and advocacy groups to nominate genetic variants or rare diseases that need further investigation or new treatments.

Since its founding in 2020, it has received 156 disease/variant nominations, accepted 63 for modeling and produced more than 200 precision models, according to Baylor.

The center plans to use the latest round of funding to bring together more experts in rare disease research, animal modeling and bioinformatics, and to expand its focus and model more complex diseases.

Dr. Jason Heaney, associate professor in the Department of Molecular and Human Genetics at BCM, serves as the lead principal investigator of the center.

“The Department of Molecular and Human Genetics is uniquely equipped to bring together the diverse expertise needed to connect clinical human genetics, animal research and advanced bioinformatics tools,” Heaney added in the release. “This integration allows us to drive personalized medicine forward using precision animal models and to turn those discoveries into better care for patients.”

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