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.

Houston-based vChain, creator of CodeNotary, has raised $7 million in a series A financing round. Pexels

Houston software company closes $7 million series A

money moves

A Houston tech company that has optimizes a notarization system for coding professionals has closed a multimillion-dollar round of funding.

Houston-based vChain, which created the CodeNotary Open Source code trust solution, has raised $7 million in a series A funding round. Paris-based Elaia Partners led the investment round, and other contributors include Zug, Switzerland-based Bluwat and Seattle-based Acequia Capital.

"CodeNotary today processes over 9 million code and container authentications every single month," says CEO Moshe Bar in a news release. "We believe this is proof that the market demands secure and simple to use trust solutions for the modern DevOps environment."

Bar, who previously founded of XenSource and Qumranet, co-founded vChain with Dennis Zimmer in late 2018. The company released its first product in April of last year, and has a secondary office in Amsterdam.

"With much more at stake both financially and reputationally, companies must act quickly to bring trust and security into their DevOps process," Bar continues. "CodeNotary was created to solve this issue and ensure that only trusted code and data run in production."

The software tool, which is used to ensure code is securely transmitted throughout the entire development to production process, has several platform integrations and works with languages such as JavaScript, Python, Go, Java, and more.

"Our vision is a digital world where every object has a globally unique and meaningful identity," says Zimmer, who serves as CTO, in the release. "For the first time, DevOps teams can completely secure the integrity of their Continuous Integration and Continuous Delivery pipelines. Not just internally, but also across companies, contributors and contractors."

The money raised will be used to continue the development of the tool as the DevOps industry continues to grow within the market.

"The DevOps industry is a rapidly growing billion-dollar market transforming itself very quickly," says Marc Rougier, partner at Elaia, in the release. "The importance of DevOps for any organization is obvious, no matter its size. However, the main reason for hesitation in DevOps transformation is a lack of trust. vChain is the leading solution to bring trust to DevOps and we're thrilled to be a part of it."

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”