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

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.

A Houston startup has launched to keep an eye on your AC to predict and prevent outages and issues. Photo courtesy of SmartAC.com

Houston home tech startup emerges from stealth with $10M series A round

smart home

It can get hot as Hades in Houston during the summer, and a new Houston startup is using machine learning and technology to ensure that users can count on their air conditioning units to stay up and running during the heat.

Houston-based SmartAC.com has emerged from stealth mode with $10 million in funding from a series A investment round. The company's technology focuses on maintaining air conditioning and heating (HVAC) health before a major service issue occurs.

"Over 70 million homes have central air in the U.S., making indoor comfort a regular way of life. People don't often think about their HVAC systems, taking it for granted, until the day the AC or heat goes out," says Josh Teekell, CEO and founder of SmartAC.com, in a news release. "These systems require regular upkeep, and when they aren't maintained, costs can get out of hand. SmartAC.com's offer is simple; we care about your AC so you don't have to."

The company's technology combines three hardware sensors — which users can install themselves — and machine learning software to analyze data to predict service issues. The comfort sensor monitors the temperature of the air coming out of the unit, the filter sensor tracks the lifespan of air filters by tracking pressure and airflow, and the water sensor protects against leaks and clogs.


The three SmartAC.com sensors are magnetic and easy to install. Photo courtesy of SmartAC.com

All three sensors are linked by SmartAC.com Hub, which sends data from the sensors to the cloud and the SmartAC.com app to translate the data into recommendations to help users reduce costs and get ahead of issues.

"The average AC replacement cost is $7,500 — an expense that can be a huge burden on homeowners. Caring for these assets is inconvenient and oftentimes confusing, resulting in 80 percent of homeowners skipping the recommended maintenance on their AC systems," says Andrew Fuselier, SmartAC.com's COO, in a news release. "It's time to digitize the AC ownership experience to solve a decades old problem. SmartAC.com was formed in stealth mode with feedback from thousands of homeowners, so we're thrilled to finally show the world what we've built."

In addition to working directly with consumers, SmartAC.com has teamed up with HVAC service providers.

"SmartAC.com is a total game-changer," says David Lewis of Mission AC in a news release. "Our clients love the additional transparency and the technology allows us to improve our service speed and quality because, for the first time, we have real-time data on the systems we service."

The data from the sensors is analyzed and sent to users via the smart phone app. Photo courtesy of SmartAC.com

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

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
---

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.

SpaceX to get more than 700 acres of Texas wildlife refuge in land swap

Space News

A federal judge on Monday, September 21, refused to block the Trump administration from giving SpaceX more than 700 acres of wildlife refuge as part of a land swap in Texas, while environmental groups vowed to continue their legal challenge.

U.S. District Judge Fernando Rodriguez Jr. declined the plaintiffs' request for a preliminary injunction to prevent the parcel exchange, saying they failed to prove it would worsen ecological risks to a Gulf Coast region already transformed by billionaire Elon Musk’s rocket operations.

In June, the U.S. Fish and Wildlife Service approved moving forward with the deal with SpaceX, which would surrender 683 acres the company owns in exchange for the federal land in the Lower Rio Grande Valley National Wildlife Refuge. The 103,000-acre refuge spans four counties along the Texas border and is home to animal habitats and historical landmarks.

Maps show the land SpaceX would acquire would be closer to the company's launchpad near the U.S.-Mexico border.

The swap amounts to a gift of public lands to SpaceX, “clearing the way for bulldozers to tear into this wildlife refuge as soon as next week and turn a public treasure into a private payday,” said Laiken Jordahl, a spokesperson with the Center for Biological Diversity, which filed the lawsuit alongside other opponents including tribal groups. Jordahl said Monday that the litigation will continue even as the exchange goes forward.

“This court order is not the final word. These lands hold incredible spiritual, historical and conservation value for the people and wildlife of South Texas. We won’t stop fighting to keep this irreplaceable public wildlife refuge safe from SpaceX bulldozers,” Jordahl said in a statement.

The lawsuit asks the federal court to halt the exchange, which has worried SpaceX opponents in the area who have long criticized the company's expanding footprint over lost access to beaches and concerns over exploding rockets.

The Fish and Wildlife Service didn’t respond to a request for comment on Monday’s decision. Previously, a spokesperson had said the agency does not comment on ongoing litigation.

The agency issued a final environmental assessment report in June that determined the exchange would cause no significant impact to the area. The report said the federal government believed the acquisition would represent a “net conservation benefit” and provide “substantial long-term conservation value and improving landscape-scale habitat connectivity across refuges in South Texas.”

The judge said that the plaintiffs offered “relatively weak” evidence of environmental harm.

“While they rightfully argue that the preservation of wildlife and historical lands furthers the public interest, they present no evidence demonstrating that the Property will suffer aesthetic, environmental, cultural, or historical degradation during the pendency of this lawsuit,” Rodriguez wrote in his ruling.

In addition, the judge said a preliminary injunction would result in modifications to SpaceX’s development plans, “placing additional hardship on the company’s ability to meet milestones and contractual obligations.”

SpaceX did not return an email seeking comment on the judge's ruling.

The space exploration company first broke ground in Texas more than a decade ago and has expanded rapidly, so much that SpaceX employees last year voted to incorporate their own local government called Starbase.