Imubit uses artificial intelligence for optimization at manufacturing plants. The company closed its series B at $30 million. Photo via imubit.com

Houston-based Imubit, whose AI-powered technology provides process optimization for refiners' and chemical operators' manufacturing plants, has raised $30 million in venture capital.

Zeev Ventures led the $30 million Series B round alongside Insight Partners, with participation from existing investors Spider Capital and UpWest. Since its founding in 2016, the company has raised $50 million.

"Imubit's goal is to transcend the industry beyond the decades old process control and optimization software hierarchy. … Today, we are solving previously unsolvable problems that are worth millions of dollars in annual margin to our clients," Gil Cohen, Imubit's co-founder and CEO, says in an August 16 news release.

In conjunction with the $30 million round, Josh Fredberg, operating partner at Insight Partners, has joined Imubit's board of directors.

"Insight focuses on exceptional category creating companies that are scaling revolutionary technologies while transforming industries," Fredberg says. "Imubit has solved the extremely difficult business and technological challenges of how to optimize high-value refinery and chemical plant processes that were once considered too complex, and is now scaling up this new technology."

Imubit operates primarily from offices in Houston and Israel. The startup's core product, its patent-pending Deep Learning Process Control technology, enables refiners and chemical operators to boost profitability through process optimization.


Josh Fredberg, left, is the operating partner at Insight Partners. He's joined the board of Imubit, co-founded by CEO Gil Cohen.

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CultureMap Emails are Awesome

3 Houston innovators who made headlines in May 2025

Innovators to Know

Editor's note: Houston innovators are making waves this month with revolutionary VC funding, big steps towards humanoid robotics, and software that is impacting the agriculture sector. Here are three Houston innovators to know right now.

Zach Ellis, founder and partner of South Loop Ventures

Zach Ellis. Photo via LinkedIn

Zach Ellis Jr., founder and general partner of South Loop Ventures, says the firm wants to address the "billion-dollar blind spot" of inequitable distribution of venture capital to underrepresented founders of color. The Houston-based firm recently closed its debut fund for more than $21 million. Learn more.

Ty Audronis, CEO and founder of Tempest Droneworx

Ty Audronis, CEO and founder of Tempest Droneworx

Ty Audronis, center. Photo via LinkedIn.

Ty Audronis and his company, Tempest Droneworx, made a splash at SXSW Interactive 2025, winning the Best Speed Pitch award at the annual festival. The company is known for it flagship product, Harbinger, a software solution that agnostically gathers data at virtually any scale and presents that data in easy-to-understand visualizations using a video game engine. Audronis says his company won based on its merits and the impact it’s making and will make on the world, beginning with agriculture. Learn more.

Nicolaus Radford, CEO of Persona AI

Nicolaus Radford, founder and CEO of Nauticus RoboticsNicolaus Radford. Image via LinkedIn

Houston-based Persona AI and CEO Nicolaus Radford continue to make steps toward deploying a rugged humanoid robot, and with that comes the expansion of its operations at Houston's Ion. Radford and company will establish a state-of-the-art development center in the prominent corner suite on the first floor of the building, with the expansion slated to begin in June. “We chose the Ion because it’s more than just a building — it’s a thriving innovation ecosystem,” Radford says. Learn more.

Houston university to launch artificial intelligence major, one of first in nation

BS in AI

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”