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Evotec and Odyssey Therapeutics Enter AI-Enabled R&D Collaboration in Autoimmune and Inflammatory Diseases

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Evotec (NASDAQ: EVO) announced a strategic R&D collaboration with Odyssey Therapeutics (NASDAQ: ODTX) to discover potential new small molecule treatments for autoimmune and inflammatory diseases. Odyssey will use Evotec's integrated, AI-enabled discovery platform, advanced screening capabilities and proprietary compound libraries across multiple high-value disease targets.

The collaboration combines Odyssey's expertise in autoimmune and inflammatory disease biology with Evotec's data-driven discovery infrastructure, aiming to accelerate identification of validated hit series and early-stage programs. According to Evotec, it is eligible to receive milestone payments tied to successful delivery of validated hit series for each target; detailed financial terms were not disclosed.

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Positive

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Negative

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Market Context

AI-tagged historical events averaged -1.27% over 24 hours. This partnership adds a collaboration dat...
Analysis

AI-tagged historical events averaged -1.27% over 24 hours. This partnership adds a collaboration datapoint to a mixed prior record; milestone economics remain undisclosed, leaving execution and outcome risk to monitor.

Key Figures

Announcement date: Aug. 6, 2026
1 metrics
Announcement date Aug. 6, 2026 AI-enabled R&D collaboration announced

Previous AI Reports

2 past events · Latest: Jun 02 (Positive)
Same Type Pattern 2 events
Date Event Sentiment 24h Move Catalyst
Jun 02 AI leadership appointment Positive -3.9% Appointed Rui Wang to lead global in silico and AI activities
Jan 08 AI grant announcement Positive +1.4% Received Gates Foundation grant for AI-driven antibody optimization projects

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

Pattern Detected

AI-tagged announcements produced mixed reactions, with one positive and one negative outcome and an average move of -1.27%.

Key Terms

machine learning, high-throughput experimentation, validated hit series
3 terms
machine learning technical
"machine learning-driven analysis"
Machine learning is a set of computer programs that learn patterns from large amounts of data and improve their predictions or decisions over time, like a recipe that gets better each time it’s adjusted based on taste tests. For investors it matters because these systems can speed up analysis, spot trends or risks humans might miss, automate routine work, and potentially create competitive advantages or cost savings that affect a company’s performance.
View in glossary
high-throughput experimentation technical
"By combining high-throughput experimentation with machine learning-driven analysis"
High-throughput experimentation is a research approach that uses automation, parallel testing and data analysis to run many different experiments or variations at once, often in laboratories or product development. It matters to investors because it can shorten development timelines and increase the chances of finding successful compounds, materials or product designs by exploring many options quickly — like trying dozens of recipes at once to find the best one faster.
validated hit series medical
"deliver validated hit series across multiple high-value targets"
A validated hit series is a group of related chemical or biological compounds that have been identified in early screening and then confirmed by follow-up experiments to interact with a biological target of interest. For investors, it signals that a drug discovery program has moved past initial, unconfirmed findings into a more reliable set of candidates—like narrowing a large list of job applicants down to a few who passed multiple interviews—helping assess the program’s scientific progress and potential value.

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

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  • Collaboration combines Odyssey's disease biology expertise with Evotec's AI-enabled discovery platform, advanced screening capabilities and proprietary compound libraries to support advancement of Odyssey's discovery-stage programs
  • Evotec to deliver validated hit series across multiple high-value targets for large inflammatory and autoimmune diseases with high unmet medical need

HAMBURG, Germany, Aug. 6, 2026 /PRNewswire/ -- Evotec SE (NASDAQ: EVO) (Frankfurt Prime Standard: EVT) today announced that it has entered a strategic R&D collaboration with Odyssey Therapeutics, Inc. (NASDAQ: ODTX) to discover potential new treatments in autoimmune and inflammatory diseases.

Under the agreement, Odyssey will leverage Evotec's integrated data-driven discovery platform, advanced screening capabilities and AI-enabled data science technologies to discover and validate differentiated small molecule drug candidates across multiple high-value disease targets. By combining high-throughput experimentation with machine learning-driven analysis, the collaboration is designed to accelerate the identification of validated hit series and enable the rapid progression of promising therapeutic programs with the potential to transform the standard of care.

The collaboration combines Odyssey's deep expertise in autoimmune and inflammatory disease biology with Evotec's industry-leading discovery infrastructure and proprietary compound libraries. By bringing together complementary scientific and technological strengths, the companies aim to accelerate early-stage research and efficiently generate and advance new medicines.

Dr. Cord Dohrmann, Chief Scientific Officer of Evotec, said:

"Drug discovery increasingly depends on the ability to integrate deep disease biology with advanced experimental and computational approaches to drug discovery. This collaboration with Odyssey illustrates well Evotec's strategy in applying integrated discovery platform technologies to complex disease areas where new approaches are urgently needed. Together, we aim to generate differentiated and validated starting points for Odyssey to develop into new therapies for autoimmune and inflammatory diseases."

Evotec is eligible to receive milestone payments based on the successful delivery of validated hit series for each target, aligning value creation with successful discovery outcomes. Detailed financials were not disclosed.

About Evotec SE

Evotec is a life science company that is pioneering the future of drug discovery and development. By integrating breakthrough science with AI-driven innovation and advanced technologies, we accelerate the journey from concept to cure — faster, smarter, and with greater precision. Our expertise spans small molecules, biologics, cell therapies and associated modalities, supported by proprietary platforms such as Molecular Patient Databases, PanOmics and iPSC-based disease modeling. With flexible partnering models tailored to our customers' needs, we work with all Top 20 Pharma companies, over 800 biotechs, academic institutions, and healthcare stakeholders. Our offerings range from standalone services to fully integrated R&D programs and long-term strategic partnerships, combining scientific excellence with operational agility. Through Just – Evotec Biologics, we redefine biologics development and manufacturing to improve accessibility and affordability. With a strong portfolio of over 100 proprietary R&D assets, most of them being co-owned, we focus on key therapeutic areas including oncology, cardiovascular and metabolic diseases, neurology, and immunology. Evotec's global team of more than 4,500 experts operates from sites in Europe and the U.S., offering complementary technologies and services as synergistic centers of excellence. Learn more at www.evotec.com and follow us on LinkedIn and X/Twitter @Evotec.

Forward-looking statements

This announcement contains forward-looking statements concerning future events, including the proposed offering and listing of Evotec's securities. Words such as "anticipate," "believe," "could," "estimate," "expect," "intend," "may," "might," "plan," "potential," "should," "target," "would" and variations of such words and similar expressions are intended to identify forward-looking statements. Such statements include comments regarding Evotec's expectations for revenues, Group EBITDA and unpartnered R&D expenses. These forward-looking statements are based on the information available to, and the expectations and assumptions deemed reasonable by Evotec at the time these statements were made. No assurance can be given that such expectations will prove to have been correct. These statements involve known and unknown risks and are based upon a number of assumptions and estimates, which are inherently subject to significant uncertainties and contingencies, many of which are beyond the control of Evotec. Evotec expressly disclaims any obligations or undertaking to release publicly any updates or revisions to any forward-looking statements contained herein to reflect any change in Evotec's expectations with respect thereto or any change in events, conditions or circumstances on which any statement is based.

Investor Relations and Media Contact

Dr. Sarah Fakih
EVP Head of Global Communications & Investor Relations
Sarah.Fakih@evotec.com

 

Cision View original content:https://www.prnewswire.com/news-releases/evotec-and-odyssey-therapeutics-enter-ai-enabled-rd-collaboration-in-autoimmune-and-inflammatory-diseases-302844665.html

SOURCE Evotec SE

FAQ

What is the Evotec (EVO) and Odyssey Therapeutics (ODTX) AI-enabled collaboration announced on August 6, 2026?

Evotec and Odyssey Therapeutics entered a strategic R&D collaboration to discover small molecule drugs for autoimmune and inflammatory diseases. According to Evotec, Odyssey will leverage Evotec's AI-enabled discovery platform, high-throughput screening and proprietary compound libraries to identify and validate hit series across multiple high-value targets.

How will AI be used in the Evotec (EVO) and Odyssey Therapeutics (ODTX) drug discovery partnership?

The collaboration plans to combine high-throughput experimentation with machine learning-driven analysis to accelerate hit identification. According to Evotec, its integrated, AI-enabled data science technologies will help discover and validate differentiated small molecule candidates across multiple autoimmune and inflammatory disease targets, supporting faster progression of discovery-stage programs.

Which diseases are targeted in the Evotec (EVO) and Odyssey Therapeutics (ODTX) R&D agreement?

The partnership focuses on large inflammatory and autoimmune diseases with high unmet medical need. According to Evotec, the companies aim to generate differentiated and validated starting points for Odyssey to develop into new therapies addressing complex autoimmune and inflammatory conditions where new treatment approaches are urgently required.

What are the financial terms of the Evotec (EVO) and Odyssey Therapeutics (ODTX) collaboration?

Evotec is eligible to receive milestone payments based on successful delivery of validated hit series for each target. According to Evotec, this structure aligns value creation with discovery outcomes, but detailed financial figures and specific payment amounts or caps were not publicly disclosed.

What does the Evotec (EVO) collaboration with Odyssey Therapeutics (ODTX) mean for Evotec's business strategy?

The collaboration reflects Evotec's strategy of applying its integrated discovery platform to complex disease areas. According to Evotec, partnering with Odyssey demonstrates its focus on combining deep disease biology with advanced experimental and computational approaches to generate validated starting points for potential new autoimmune and inflammatory therapies.

How will Odyssey Therapeutics (ODTX) benefit from partnering with Evotec (EVO) in autoimmune research?

Odyssey gains access to Evotec's integrated, data-driven discovery platform, advanced screening and proprietary compound libraries. According to Evotec, this is designed to support advancement of Odyssey's discovery-stage programs by accelerating identification of validated hit series and enabling more efficient early-stage research in autoimmune and inflammatory diseases.