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eXoZymes Selected for DoE's Genesis Mission to Advance AI-Powered Digital Twins for Cell-Free Biomanufacturing

(Very Positive)
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AI

eXoZymes (NASDAQ: EXOZ) has been selected for the inaugural U.S. Department of Energy Genesis Mission, a nine-month AI initiative uniting national labs, academia and industry. The project totals approximately $747,000 in funding, including about $147,000 awarded to eXoZymes.

eXoZymes will collaborate with Lawrence Berkeley National Laboratory researchers Dr. Edward Baidoo and Dr. Hector Garcia Martin to build AI-powered digital twins for cell-free biomanufacturing. The company will generate curated cell-free enzymatic datasets, while LBNL teams develop metabolomic workflows and hybrid digital twin models that merge enzyme kinetics, reactor physics and machine learning. According to eXoZymes, participation also provides access to the DOE Genesis Mission Platform’s advanced AI models, AI agents and high-performance computing resources.

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Positive

  • $747,000 total Genesis Mission project funding, with $147,000 to eXoZymes
  • Access to DOE Genesis Mission AI models, agents and high-performance computing
  • Collaboration with Lawrence Berkeley National Laboratory on AI digital twins
  • Extension of AI strategy into AI-guided cell-free biomanufacturing optimization

Negative

  • None.

News Market Reaction – EXOZ

+0.21%
1 alert
+0.21% Session close to close
$47.61M Market Cap
0.4x Rel. Volume

In the Jul 24 session, EXOZ gained 0.21%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The effective S-3 shelf, dated Jan 16, 2026 and expiring Jan 16, 2029, provides financing context fo...
Analysis

The effective S-3 shelf, dated Jan 16, 2026 and expiring Jan 16, 2029, provides financing context for this project. The shelf has been used 6 times, while execution and funding needs remain relevant risks.

Key Figures

Project duration: 9 months Total project funding: approximately $747,000 eXoZymes award: $147,000 +1 more
4 metrics
Project duration 9 months DOE Genesis Mission project
Total project funding approximately $747,000 DOE Genesis Mission project
eXoZymes award $147,000 Share of total project funding
Selected projects 278 projects DOE Genesis Mission

Previous AI Reports

1 past event · Latest: Oct 30 (Positive)
Same Type Pattern 1 events
Date Event Sentiment 24h Move Catalyst
Oct 30 AI conference participation Positive +13.9% CEO participation on an AI in life sciences panel preceded a 13.87% 24-hour increase.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

The tag-specific AI history contains one prior event, which was followed by a positive 24-hour move.

Key Terms

digital twins, cell-free biomanufacturing, metabolomic workflows, enzyme kinetics, +1 more
5 terms
digital twins technical
"AI-enabled digital twins designed to accelerate optimization of enzyme-driven manufacturing"
Digital twins are virtual replicas of physical objects, systems, or processes that simulate their real-world counterparts in real time. They allow users to monitor, analyze, and predict how the actual entity will behave under different conditions. For investors, digital twins can provide valuable insights into performance and potential risks, helping to make better-informed decisions.
cell-free biomanufacturing technical
"develop AI-powered digital twins for cell-free biomanufacturing"
Cell-free biomanufacturing makes biological products — like proteins, enzymes or vaccine ingredients — by using the molecular machinery of cells removed from living organisms, rather than growing whole cells. Investors should care because this approach can speed up production, cut costs and reduce contamination risk, making supply chains more flexible and potentially changing how quickly and cheaply biotech products reach the market.
metabolomic workflows technical
"establish advanced metabolomic workflows that transform those experiments into AI-ready datasets"
A set of laboratory and data steps used to detect and analyze small molecules (metabolites) in biological samples, typically including sample collection, chemical extraction, instrument measurement, and computational processing of results. Like an assembly line, each step affects how complete and reliable the final picture of a cell or patient’s chemistry will be; for investors, differences in throughput, accuracy, and reproducibility determine how useful the results are for diagnostics, drug development, or commercial platforms.
enzyme kinetics technical
"models that combine enzyme kinetics, reactor physics and machine learning"
Study of the rates at which enzymes—proteins that speed up chemical reactions—convert substrates into products and how those rates change with conditions like concentration, pH, or temperature. For investors, enzyme kinetics helps explain how a drug candidate or diagnostic works, how potent or fast-acting it might be, and can influence development decisions, trial design and regulatory assessments much like measuring a car's acceleration and fuel efficiency tells you about its performance.
high-performance computing technical
"advanced AI models, AI agents, and high-performance computing resources"
A cluster of very powerful computers, special chips and fast networks designed to tackle huge, complex calculations far faster than a normal PC — like replacing a single delivery van with a synchronized fleet to move a city’s worth of packages. For investors, high-performance computing matters because it enables faster product development, more accurate simulations and data analysis, and new revenue streams for hardware, software and services, making firms that supply or use it potentially more competitive and scalable.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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  • Company to collaborate with Lawrence Berkeley National Laboratory on AI-enabled digital twins designed to accelerate optimization of enzyme-driven manufacturing processes.

  • The 9-month project awarded approximately $747,000 in total funding, including $147,000 awarded to eXoZymes

  • Expands eXoZymes' AI strategy beyond enzyme engineering into AI-guided manufacturing, leveraging digital twins to predict, optimize and accelerate development of cell-free bioprocesses.

  • Provides access to the DOE Genesis Mission Platform, including advanced AI models, AI agents and high-performance computing infrastructure to accelerate future platform development.

LOS ANGELES, CA / ACCESS Newswire / July 23, 2026 / Today, eXoZymes Inc. (NASDAQ:EXOZ) ("eXoZymes") - a pioneer of AI-enhanced enzymes that transform abundant feedstock into valuable nutraceuticals and novel medicines, - announced it has been selected to participate in the inaugural U.S. Department of Energy (DOE) Genesis Mission, a nationwide initiative bringing together leading researchers, national laboratories and industry leaders to accelerate scientific discovery through artificial intelligence.

As part of the nine-month project, eXoZymes will collaborate with Lawrence Berkeley National Laboratory (LBNL) researchers Dr. Edward Baidoo and Dr. Hector Garcia Martin to develop AI-powered digital twins for cell-free biomanufacturing. The award also provides access to the Genesis Mission Platform, including advanced AI models, AI agents, and high-performance computing resources.

CEO of eXoZymes, Michael Heltzen, states: "For centuries, biology has largely been an observational science. We believe the next generation of biomanufacturing will be built at the intersection of artificial intelligence and digital insights into biology. To make that happen, we are accelerating the design-build-test-learn cycle of biomanufacturing development using our cell-free platform."

Heltzen continues, "In my opinion, digital biology - including digital twins - has the potential to become one of the defining technologies of this century, and projects like the Genesis Mission help accelerate that transition. Digital twins have already transformed industries by allowing engineers to simulate, optimize, and refine complex systems, like airplanes in the aviation industry, before building them in the real world. We believe the same transformation is coming of age in biology, where AI-powered digital twins could fundamentally change how biological manufacturing processes are designed, optimized, and scaled."

Under the project, eXoZymes will generate curated experimental datasets from multiple cell-free enzymatic pathways, while Dr. Edward Baidoo's team will establish advanced metabolomic workflows that transform those experiments into AI-ready datasets. Dr. Hector Garcia Martin's team will then integrate those datasets into hybrid digital twin models that combine enzyme kinetics, reactor physics and machine learning, creating predictive models capable of identifying optimal operating conditions before laboratory validation.

"Our cell-free platform generates exceptionally clean, quantitative datasets because it eliminates many of the biological variables inherent in living-cell systems," said Dr. Paul Opgenorth, co-founder and VP of Development at eXoZymes, who also is the Principal Investigator for the project. "That makes it an ideal foundation for training predictive AI models and building digital twins capable of optimizing increasingly complex biochemical manufacturing processes."

The Genesis Mission generated the largest response to a funding opportunity in DOE history, with 278 projects selected across national laboratories, universities, companies, and nonprofit organizations. Selected research teams receive access to the Genesis Mission Platform, including advanced AI models, AI agent frameworks, and high-performance computing resources to accelerate scientific discovery.

About eXoZymes
Founded in 2019, eXoZymes is pioneering a cell-free biomanufacturing platform that uses AI-enhanced enzymes - called exozymes - to make valuable natural products and new analogs outside living cells. The company's platform is designed to replace inefficient extraction and petrochemical processes with a scalable way to produce high-value molecules for nutraceutical and pharmaceutical markets.

eXoZymes is building a portfolio of biosolutions across NCT, cannabinoid analogs, santalene, and other high-value natural product molecules, with potential commercialization paths that include partnerships, licensing and joint ventures. Learn more at exozymes.com

eXoZymes Safe Harbor
This press release includes forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements, which are based on certain assumptions and describe the company's future plans, strategies and expectations, can generally be identified by the use of forward-looking terms such as "believe," "expect," "may," "will," "should," "would," "could," "seek," "intend," "plan," "goal," "project," "estimate," "anticipate," "strategy," "future," "likely," "potential," or other comparable terms, although not all forward-looking statements contain these identifying words. All statements other than statements of historical facts included in this press release regarding the company's strategies, prospects, financial condition, operations, costs, plans and objectives are forward-looking statements. Actual results could differ materially for a variety of reasons. You should carefully consider the risks and uncertainties described in the "Risk Factors" section of eXoZymes' quarterly reports on Form 10-Q, annual reports on Form 10-K, and other documents filed by eXoZymes from time to time by the company with the Securities and Exchange Commission. These filings identify and address important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and eXoZymes assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. eXoZymes does not give any assurance that it will achieve its expectations.

eXoZymes contact
Lasse Görlitz, VP of Comms & IR
(858) 319-7135
press@exozymes.com
LinkedIn | X | YouTube

SOURCE: eXoZymes



View the original press release on ACCESS Newswire

FAQ

What is the DOE Genesis Mission project awarded to eXoZymes (NASDAQ: EXOZ) on July 23, 2026?

The Genesis Mission project is a nine-month DOE initiative where eXoZymes will help develop AI-powered digital twins for cell-free biomanufacturing. According to eXoZymes, the effort combines curated experimental datasets, metabolomics and hybrid modeling to accelerate optimization of enzyme-driven manufacturing processes.

How much funding does eXoZymes (EXOZ) receive from the DOE Genesis Mission award?

The total Genesis Mission project funding is approximately $747,000, including about $147,000 awarded to eXoZymes. According to eXoZymes, this funding supports generating curated cell-free datasets and collaborating with Lawrence Berkeley National Laboratory on AI-enabled digital twins.

How will eXoZymes use AI-powered digital twins in its cell-free biomanufacturing platform (EXOZ)?

eXoZymes plans to use AI-powered digital twins to predict and optimize cell-free enzymatic processes before laboratory validation. According to eXoZymes, hybrid models will integrate enzyme kinetics, reactor physics and machine learning to identify optimal operating conditions and accelerate bioprocess development.

What role does Lawrence Berkeley National Laboratory play in eXoZymes’ Genesis Mission project (EXOZ)?

Lawrence Berkeley National Laboratory teams will build metabolomic workflows and hybrid digital twin models using eXoZymes’ datasets. According to eXoZymes, Dr. Edward Baidoo’s group prepares AI-ready metabolomics data, while Dr. Hector Garcia Martin’s team develops predictive models for bioprocess optimization.

What strategic benefits does the DOE Genesis Mission provide to eXoZymes (NASDAQ: EXOZ)?

The Genesis Mission gives eXoZymes funding, national lab collaboration and access to advanced AI tools. According to eXoZymes, it gains DOE Genesis Mission Platform access, including AI models, AI agents and high-performance computing, extending its AI strategy into AI-guided biomanufacturing.

How does eXoZymes’ cell-free platform support AI model training in the Genesis Mission project (EXOZ)?

eXoZymes’ cell-free platform generates clean, quantitative datasets by avoiding variability from living-cell systems. According to eXoZymes, these curated datasets are well-suited for training predictive AI models and building digital twins to optimize complex biochemical manufacturing processes.