Houston quantum energy chip startup emerges from stealth with $12M round

seed funding

Casimir’s semiconductor chips can generate power from quantum vacuum fields without the need for batteries or charging. Photo via casimir.inc

Houston-based Casimir has emerged from stealth with a $12 million seed round to commercialize its quantum energy chip.

The round was led by Austin-based Scout Ventures. Lavrock Ventures, Cottonwood Technology, Capital Factory, American Deep Tech, and Tim Draper of Draper Associates also participated in the round. The oversubscribed round exceeded the company’s original $8 million target, according to a news release.

Casimir’s semiconductor chips can generate power from quantum vacuum fields without the need for batteries or charging. The company plans to commercialize its first-generation MicroSparc chip by 2028.

The MicroSparc chip measures 5 millimeters by 5 millimeters and is designed to produce 1.5 volts at 25 microamps, comparable to a small rechargeable battery, without degradation and no replacement cycle.

“Casimir represents exactly the kind of breakthrough dual-use technology Scout Ventures was built to back,” Brad Harrison, founder and managing partner at Scout Ventures, said in the release. “This is based on 100 years of science and we’re finally approaching a commercial product … We’re proud to lead this round and support Casimir’s journey from applied science to deployed technology.”

Casimir says it aims to scale its technology across the ”full power spectrum,” including large-scale energy systems that can power homes, commercial infrastructures and electric vehicles.

Casimir's scientific work has been supported by DARPA-funded nanofabrication research and its technology was incubated at the Limitless Space Institute (LSI). LSI is a nonprofit that works to innovate interstellar travel and was founded by Kam Ghaffarian. Technology investor and serial entrepreneur Ghaffarian has been behind companies like X-energy, Intuitive Machines, Axiom Space and Quantum Space.

Harold “Sonny” White, founder and CEO of Casimir, believes the technology can power devices for years without replacements.

“Millions of devices will operate for years without a battery ever needing to be replaced or recharged because we have engineered a customized Casimir cavity into hardware capable of producing persistent electrical power,” White added in the release. “I spent nearly two decades at NASA studying how we power humanity’s future. That work led me to the Casimir effect and the quantum vacuum, where new tools have allowed us to build on a century of scientific knowledge and bring abundant power to the world.”

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Biostate AI has emerged from stealth this week — with $4 million and a mission to design AI products to predict human and animal health changes. Photo via Getty Images

New health-focused generative AI company emerges from stealth with Houston office, $4M in funding

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A new scalable biodata foundry startup has emerged from stealth with $4 million in investment funding and two new health care artificial intelligence tools. The company is co-located in Houston and Palo Alto, California.

Biostate AI was co-founded by former Rice Professor David Zhang, who serves as the company's CEO, in 2023. With the launch, the company announced two service products: Total RNA sequencing and Copilot for RNAseq data analysis, Biostate reveals in a press release.

"The successful training of any AI well requires large quantities of relevant and high-quality data," Zhang says in the release. "Biostate AI has developed the instrumental technologies to facilitate the collection of more biological data at lower costs. We are pleased to offer these capabilities to academic and industry partners and collaborators."

The company has raised more than $4 million in venture funding. Matter Venture Partners led the initial round, with participation from Vision Plus Capital, Catapult VC, and the California Institute of Technology through the Caltech Seed Fund. Additional investors included Dario Amodei, CEO of Anthropic; Joris Poort, CEO of Rescale; Michael Schnall-Levin, CTO of 10X Genomics; and Emily Leproust, CEO of Twist Bioscience.

"AI is the next frontier and AI needs data, and biological data is a lot harder to get than text or images. We are excited about the potential for Biostate's technology to dramatically lower the cost of collecting RNAseq datasets," adds Haomiao Huang, founding partner at Matter Venture Partners, in the release. "As a US company, Biostate's affordable AI-embedded CRO services are much needed today as the supply of preclinical research services shrinks due to geopolitical tensions."

With an ultimate goal of designing AI products to predict human and animal health changes, Biostate AI is looking to partner with academic researchers, hospital biorepositories, and pharma and other biotech companies.

In addition to its two launched products, Biostate AI has filed nine pending patents on its technologies and is collaborating with Twist Bioscience and California Institute of Technology.

With its official launch, Biostate AI also debut OmicsWeb Copilot, a conversational AI that aids biologists in and visualizing data. Using large-language models, the platform provides access to over 1000 unique RNAseq datasets collected by the Biostate team.

"Bioinformatic analysis of RNAseq and other omics data is a highly complex, multi-step process that currently takes many hours of dedicated specialized programming," explains Ashwin Gopinath, co-founder and CTO of Biostate AI, in the release. "As we scaled up our RNAseq data collection in the past year, we started building OmicsWeb Copilot as an internal tool to help our scientists make sense of the data. And then we realized other people may also find this tool useful, so we're opening it up to the general public for free."

Biostate is asking those interested in collaboration to reach out at partnerships@biostate.ai.

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Houston college joins inaugural workforce accelerator supported by Google

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Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

Bergen Community College in Paramus, New Jersey
Central Louisiana Community College in Alexandria, Louisiana
Clark State College in Springfield, Ohio
Great Basin College in Elko, Nevada
Heartland Community College in Normal, Illinois
Hudson County Community College in Jersey City, New Jersey
Manchester Community College in Manchester, New Hampshire
Mesa Community College in Mesa, Arizona
Mohave College in Kingman, Arizona
San Joaquin Delta Community College in Stockton, California
San Juan College in Farmington, New Mexico
West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

Data Entry Keyers
Statistical Assistants
Office Support Workers
Interpreters and Translators
Database Architects
Software Quality Assurance Analysts
Medical Transcriptionists
Software Developers
Writers and Authors
Payroll Clerks
Web Designers
Miscellaneous Computer Occupations
Insurance Claims Processors
Telemarketers
Computer Numerically Controlled Tool Programmers
Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

No. 1 – Washington
No. 2 – Virginia
No. 3 – District of Columbia
No. 4 – California
No. 5 – Utah
No. 6 – Maryland
No. 7 – Colorado
No. 8 – New Hampshire
No. 9 – Texas
No. 10 – North Carolina

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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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