Evogene Ltd. · NASDAQ:EVGN

Evogene — Investor Presentation (April 2026)

27 slides from Evogene's investor presentation, Apr 28, 2026

  1. Slide 1: Real-World Innovation

    REAL -WORLD INNOVATION AI- first driven discovery platform for multi- parameter small - molecule design April28,2026 1

  2. Slide 2: Forward Looking Statement

    FORWARD This presentation contains "forward - looking statements" relating to future events, and Evogene Ltd. (the “Company ”), may from time to time make other statements, regarding our outlook or expectations for future financial or operating results and/or other matters regarding or affecting are

  3. Slide 3: Evogene Pioneers Real-World Innovation

    EVOGENE PIONEERS REAL -WORLD INNOVATION Using a proprietary generative AI engine, we design highly potent and novel small molecules, optimized across -parameters, multiple for the pharmaceutical-chemical and ag industries 3

  4. Slide 4: Our Story

    OUR STORY PIONEERING IN PHARMA GEN AI ENGINE REVOLUTIONIZING AG Growing number of ChemPass AI - computational Strategic collaborations for collaborations for diverse engine for the design & ag- chemical development drug targets optimization of small molecules with proven results 4

  5. Slide 5: The Discovery & Optimization Challenge

    THE DISCOVERY & OPTIMIZATION CHALLENGE DESIGN THE RIGHT CANDIDATES TO REACH THE MARKET PRODUCT LESS THAN 10%OF PRODUCT CANDIDATE CANDIDATES TESTED IN CLINICAL TRIALS MAKE IT TO MARKET DISCOVERY & OPTIMIZATION TARGET SELECTION EARLY ADVANCED APPROVED (protein) DEVELOPMENT DEVELOPMENT PRODUCT HIT HIT

  6. Slide 6: Novel Chemical Structure & Multi-Parameter Challenge

    NOVEL CHEMICAL STRUCTURE & MULTI -PARAMETER CHALLENGE Potency (Binding Affinity) Generating a small molecule with a Solubility novel chemical structure that satisfies all required parameters defining the desired product, while proactively balancing multiple, often competing, criteria. TRADITIONAL ME

  7. Slide 7: Introducing ChemPass AI

    NOVELTY - VAST CHEMICAL TERRITORIES based on a 38B- molecule chemical library, the engine designs novel compounds that are synthesizable and active, while accessing unexplored chemical space and creating new IP opportunities INTRODUCING CHEMPASS : AI MULTI -PARAMETER OPTIMIZATION BREAKING CHEMICAL m

  8. Slide 8: ChemPass AI - Design Candidates for Commercial Success

    CHEMPASS AI - DESIGN CANDIDATES FOR COMMERCIAL SUCCESS EVOGENE PRODUCT HIGHER PROBABILITY OF CANDIDATE SUCCESS DISCOVERY & OPTIMIZATION TARGET SELECTION EARLY ADVANCED APPROVED (protein) DEVELOPMENT DEVELOPMENT PRODUCT HIT HIT TO LEAD LEAD IDENTIFICATION OPTIMIZATION PHARMA PRECLINICAL CLINICAL AG S

  9. Slide 9: Evogene's Unique Offering

    EVOGENE ’S UNIQUE Synthetic Accessibility OFFERING – Potency (Binding Affinity) Chemical Stability PROPRIETARY Solubility Molecular Weight MOLECULAR DESIGN Metabolic Stability A POWERFUL COMBINATION OF CAPABILITIES : IP/Novelty • Novel molecules are generated based on vast and diverse chemical terri

  10. Slide 10: ChemPass AI - Driving Development Success

    CHEMPASS AI - DRIVING DEVELOPMENT SUCCESS Step1 Step2 Step3 Result HIT SCREENING HIT TO LEAD LEAD OPTIMIZATION EVOGENE TM PRODUCT CANDIDATE WITHPOINTHIT WITH TM ACTIVESEARCH LEADOP TM WITH GPT Utilizing deep learning to enhance rapid DMTA* coupled with upgraded analog Simultaneous optimization of mu

  11. Slide 11: Technological Collaborations with Google Cloud

    TECHNOLOGICAL COLLABORATION S WITH GOOGLE CLOUD FROM GENERATIVE MODELS TO AUTONOMOUS DISCOVERY FIRST COLLABORATION – FIRST -IN-CLASS FOUNDATION MODEL Successful completion of a proprietary generative AI model for novel molecular product candidates addressing multiple parameters, based on 38 billion

  12. Slide 12: Capturing the Business Value of ChemPass AI

    CAPTURING THE BUSINESS VALUE CHEMPASS OFAI THROUGH COLLABORATIONS -HOUSE DEVELOPMENT & IN CHEMPASS AI DEVELOPMENT STAGES PARTNERINTERNAL / PIPELINE TARGET Literature search, data PREPROCESSING Target elucidation and biological preprocessing and target modeling interpretation HIT Identify potential h

  13. Slide 13: Our Story

    OUR STORY PIONEERING IN PHARMA GEN AI ENGINE REVOLUTIONIZING AG Growing number of ChemPass AI - computational Strategic collaborations for collaborations for diverse engine for the design & ag- chemical development drug targets optimization of small molecules with proven results 13

  14. Slide 14: Growing Opportunity - AI Drug Discovery

    PHARMA DIVISION GROWING OPPORTUNITY -DRUGIN DISCOVERY AI Account for AI-based candidates in pipeline Discovery market expected to SMALL 58% >60 $190.68B MOLECULES of total pharmaceutical market 1,344 B) ($ 150 % CAGR in 3last years by2034 14 1) DCAT Value Chain 2) Insights Science Direct 3) Preceden

  15. Slide 15: Collaboration with Systasy Bioscience and LMU

    PHARMA DIVISION COLLABORATIONSYSTASY WITH BIOSCIENCE, LUDWIG MAXIMILIAM UNIVERSITY HOSPITAL, MUNICH, GERMANY NOVEL THERAPIES FOR -DERIVED NEUTROPHIL INFLAMMATORY ​ DISEASES • Target : novel mechanism addressing large unmet needs in hyperinflammatory diseases such as inflammatory bowel disease (IBD).

  16. Slide 16: Collaboration with Unravel Biosciences

    PHARMA DIVISION COLLABORATION WITH UNRAVEL BIOSCIENCES, BOSTON, USA NOVEL THERAPIES FOR DEMYELINATION DISORDERS • Target : novel mechanism underlying neurodegenerative diseases . • Focused on demyelinating diseases such as MS, representing a global market exceeding $26B*. • Combines ChemPass AI with

  17. Slide 17: Collaboration with Dr. Mark Adams, QUT

    PHARMA DIVISION COLLABORATIONDR. WITH MARK ADAMS, QUT, BRISBANE, AUSTRALIA NOVEL THERAPIES FOR CHEMOTHERAPY RESISTANCE IN CANCER TREATMENT • Target : cellular mechanism responsible for resistance to cancer treatments . • Global cancer drug resistance market is estimated at $5.4B in 2025*. • Combines

  18. Slide 18: Collaboration with Prof. Ehud Gazit, TAU

    PHARMA DIVISION COLLABORATIONPROF. WITH EHUD GAZIT, TAU, -AVIV,TEL ISRAEL NOVEL THERAPEUTIC MODALITY FOR METABOLIC DISEASES • Target : molecular self- assembly metabolites that underlie metabolic conditions . • Addressable Gout therapeutics market is evaluated at ~$3B*. • Combines ChemPass AI with u

  19. Slide 19: Our Story

    OUR STORY PIONEERING IN PHARMA GEN AI ENGINE REVOLUTIONIZING AG Growing number of ChemPass AI - computational Strategic collaborations for collaborations for diverse engine for the design & ag- chemical development drug targets optimization of small molecules with proven results 19

  20. Slide 20: ~$88B Growing Market with Plenty of Room for Innovation

    EVOGENE'S SUBSIDIARY ~$88B GROWING MARKET WITH PLENTY OF ROOM FOR INNOVATION $43.3B BROAD SPECTRUM 1 HERBICIDES 1 Increase of pest resistance & regulatory requirements $22.2B FUNGICIDES FOR 2 2 MAJOR DISEASES Urgent need for new Modes of Action ( MoAs) 3 Decreased rate in discovery of new pesticides

  21. Slide 21: Computational Chemistry Can Create Real-World Impact in Agriculture

    EVOGENE'S SUBSIDIARY With rising pest resistance, tighter regulation, and laggard development COMPUTATIONAL CHEMISTRY CAN CREATE REAL -WORLD IMPACT IN AGRICULTURE 21

  22. Slide 22: Strategic Collaborations

    EVOGENE'S SUBSIDIARY STRATEGIC COLLABORATIONS "Bringing together AgPlenus ’ expertise with Bayer ’s "The collaboration with AgPlenus has CropKey approach to crop protection innovation will accelerated the identification of a class of help accelerate the delivery of essential, sustainable, herbicide

  23. Slide 23: Internal Pipeline - Wheat Blotch

    EVOGENE'S SUBSIDIARY INTERNAL PIPELINE APTF -1PRESENTS STRONG POTENTIAL FOR REAL -WORLD INNOVATION WHEAT BLOTCH • Shows clear concentration - dependent antifungal efficacy DISRUPTING1.2 AB$PROBLEM AT RECORD SPEED • Ongoing optimization to • 70% of EU fungicide usage in wheat is for Wheat Blotch 1 en

  24. Slide 24: Internal Pipeline End-to-End Process - Actual Results

    EVOGENE'S SUBSIDIARY INTERNAL PIPELINE END -TO-END PROCESS – ACTUAL RESULTS WHEAT BLOTCH PROJECT AGPLENUS BY Step1 Step2 Step3 HIT SCREENING HIT TO LEAD TM LEAD OPTIMIZATION WITH TM POINTHIT WITH ACTIVESEARCH LEADOP TM WITH GPT TARGET PROTEIN New MOA - no available Ordered Ordered Ordered crystallog

  25. Slide 25: Evogene - Real-World Innovation

    EVOGENE – REAL -WORLD INNOVATION PHARMA DIVISION – Drugs AG DIVISION* – Ag-Chemicals COLLABORATIONS COLLABORATIONS Neutrophil- Derived Herbicides Inflammatory Diseases Demyelination Disorders Herbicides Lung Cancer INTERNAL PIPELINE Wheat Blotch Metabolic Disease AG DIVISION* – Operations in this fi

  26. Slide 26: Generating Real-World Innovation

    HIGH -POTENCY MOLECULES We design highly potent and PIONEERING IN PHARMA AI- first designed molecules novel small molecules, optimized Growing number of optimized through targeted across multiple - parameters, for collaborations addressing experimental validation diverse drug targets for the pharmac

  27. Slide 27: Creating Real-World Innovation for a Better Future

    Creating REAL-WORLD INNOVATION for a better future evOgene

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