Codenotary's software enables tools for notarization and verification of the software development life cycle. Photo via Getty Images

Houston-based Codenotary, whose technology helps secure software supply chains, has raised $12.5 million in a series B round. Investors in the round include Swiss venture capital firm Bluwat and French venture capital firm Elaia.

The $12.5 million round follows a series A round that was announced in 2020, with total funding now at $18 million.

Codenotary, formely known as vChain, says the fresh round of money will be used to accelerate product development, and expand marketing and sales worldwide. Today, the startup has 100-plus customers, including some of the world’s largest banks.

Codenotary’s co-founders are CEO Moshe Bar and CTO Dennis Zimmer. They started the company in 2018.

Bar co-founded Qumranet, which developed the Linux KVM hypervisor. A hypervisor creates and runs virtual machines. Software provider Red Hat purchased Qumranet in 2008 for $127 million. Before that, he founded hypervisor company XenSource, which cloud computing company Citrix Systems bought in 2007 for $500 million.

“Codenotary offers a solution which allows organizations to quickly identify and track all components in their DevOps cycle and therefore restore trust and integrity in all their myriad applications,” Pascal Blum, senior partner at Bluwat, says in a news release.

The SolarWinds software supply chain hack in 2020 and the more recent emergence of Log4j vulnerabilities have brought the dangers of software lifecycle attacks to the forefront, Bar says. Now, he says, more and more companies are looking for ways to prove the legitimacy of the software that they produce.

Codenotary is the primary contributor to immudb, the an open-source, enterprise-class database with data immutability, or stability, designed to meet the demands of highly used applications.

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$5B Austin medical center, anchored by MD Anderson, to break ground this fall

moving forward

Construction on the $1 billion first phase of the AI-native University of Texas Dell Medical Center in Austin—which will feature a hospital operated by Houston’s UT MD Anderson Cancer Center—is set to start this fall.

The UT System Board of Regents approved funding for first-phase construction on Aug. 12.

The medical center—now expected to cost $5 billion, up from the initial $2.9 billion estimate—will span about 2.5 million square feet. It will include 300 to 500 patient beds, outpatient facilities, an emergency department and specialized care for cancer patients.

MD Anderson will bring its world-renowned oncology programs to the center’s integrated health care model, Dr. Claudia Lucchinetti, senior vice president of medical affairs at UT Austin and dean of the university’s Dell Medical School, tells Health Leaders.

Earlier this year, Austin tech billionaire Michael Dell and his wife, Susan, pledged $750 million for development of the medical center. The medical center, scheduled for completion in December 2030, will be a cornerstone of the new 300-acre UT Dell Campus for Advanced Research, a medical education and research hub.

“Through this new campus and medical center, Texas will lead America in health care innovation,” Gov. Greg Abbott said when the research campus was announced in April. “The next generation of medical breakthroughs will take place in Central Texas.”

The medical center will fold AI tools and other technology into the infrastructure, rather than having them added after it’s built. Among other capabilities, the technology will monitor real-time medical data, automate data entry, and help health care professionals quickly predict and identify risks to patients, according to Health Leaders.

“We are not just building a new medical center,” Lucchinetti says. “We are building a fundamentally new model of health. It’s not just a new facility. It’s not just a new collaboration. It is a convergence of capabilities that rarely come together at the same time.”

Rice lands $15M U.S. Army award to launch next-gen wireless research center

defense funding

The U.S. Army Research Office has awarded Rice University $15 million to establish a new center for next-generation sensing and communications.

The five-year research center—dubbed the Center for Large Aperture Secure Sensing, Imaging and Communications (CLASSIC)—will unite researchers from universities and national laboratories to develop advanced antenna technologies for future wireless systems. Edward Knightly, the Sheafor-Lindsay Professor of Electrical and Computer Engineering at Rice, will lead the center that “combines expertise in wireless networking, antennas, radar, artificial intelligence, circuits and physics to address growing demands on wireless systems,” according to Rice.

“The challenges we’re tackling require advances that span physics, hardware, communications and computing," Knightly said in a news release. “By combining those strengths in a single center, we can accelerate the development and demonstration of technologies that would not be possible through individual efforts alone.”

Joining Knightly will be Ashutosh Sabharwal of Rice, Sensen Li of the University of Texas at Austin, Hou-Tong Chen of Los Alamos National Laboratory, Danijela Cabric of UCLA, Josep M. Jornet and Tommaso Melodia of Northeastern University, Daniel M. Mittleman of Brown University, and Willie Padilla of Duke University.

Industry partners include Booz Allen Hamilton, Intel, Keysight, Lockheed Martin, MITRE, Northrop Grumman, Qualcomm and Raytheon.

CLASSIC researchers will investigate how large-scale antenna arrays (ELSAAs) can expand the capabilities of wireless systems where technology is limited.

ELSAAs use thousands of coordinated antenna elements to direct radio waves. Researchers aim to develop ways to use the technology to help maintain steady communication when signals are blocked or disrupted and to detect and generate detailed images of concealed objects.

Along with ELSAAs, the center will work to develop sensing techniques for threat detection, study wireless jamming and build resilient high-speed wireless networks. Researchers will ultimately validate the technology in labs and via drone-based field trials.

CLASSIC will also work on developing an AI-driven modeling framework that will simulate complex electromagnetic environments in real time.

“This award demonstrates Rice’s leadership in tackling complex national research challenges through collaboration across disciplines and institutions,” David Sholl, executive vice president for research at Rice, added in the release.