Evogene Ltd. · NASDAQ:EVGN

Evogene — Investor Presentation (August 2026)

32 slides from Evogene's investor presentation, Aug 27, 2026

  1. Slide 1: Real-World Innovation: AI-first discovery platform for multi-parameter small-molecule generation

    REAL -WORLD INNOVATION AI-first driven discovery platform - for multi parameter small -molecule generation August ,272026

  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 regard considered “forward

  3. Slide 3: Evogene Pioneers Real-World Innovation

    EVOGENE PIONEERS REAL -WORLD INNOVATION Using a proprietary generative AI engine, we generate novel and highly potent 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 Proven strategic collaborations for a diverse engine for the generation & collaborations driving our pipeline of drug candidates optimization of small molecules ag- chem pipeline 4

  5. Slide 5: The Discovery & Optimization Challenge

    THE DISCOVERY & OPTIMIZATION CHALLENGE GENERATE 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 HI

  6. Slide 6: Diverse Novel Chemical Structures & Multi-Parameter Challenge

    DIVERSE NOVEL CHEMICAL STRUCTURES &- MULTI PARAMETER CHALLENGE Potency (Binding Affinity) The challenge - generate diverse Solubility small molecules with novel chemical structures that satisfy all required parameters defining the desired product, while proactively balancing multiple, often competin

  7. Slide 7: ChemPass AI: Breaking Chemical Space Limitation & Multi-Parameter Optimization

    CHEMPASS AI NOVEL CHEMICAL STRUCTURE ,DRUG -LIKE, SYNTHESIZABLE MOLECULES BREAKING CHEMICAL SPACE Our AI engine generates novel LIMITATION &-PARAMETER MULTI compounds that are synthesizable and active, while accessing CHALLENGE unexplored chemical space and creating new IP opportunities NOVELPRODUCT

  8. Slide 8: ChemPass AI - Four Steps to Success

    CHEMPASS AI - FOUR STEPSTO SUCCESS Step0 Step1 Step2 Step3 AGENTIC BIOLOGICAL & HIT SCREENING HIT TO LEAD LEAD OPTIMIZATION RESULT CHEMICAL TARGET ANALYSIS WITH TM POINTHIT WITH TM ACTIVESEARCH LEADOP TM WITH GPT ABCMODULETM Utilizing deep learning to enhance DMTA* coupled with upgraded analog Simul

  9. Slide 9: Our Competitive Advantage

    OURCOMPETITIVE ADVANTAGE TM- AGENTIC BIOLOGICAL & CHEMICAL ANALYSIS ABCmodule Discovery risk profile – o Biological Profile - MOA evaluation, experimental insights, specificity profile, structure ensembles Expert -vetted, data -backed target o Chemical Profile - Ligand properties, diversity mapping,

  10. Slide 10: Always at the Cutting Edge of Technology: Latest Achievements

    ALWAYS AT THE CUTTING EDGE OF Y–TECHNOLOG LATEST ACHIEVEMENT S AGENTS' INTEGRATION “This expanded collaboration with Evogene demonstrates the power of integrating cutting- edge artificial intelligence into scientific research . By leveraging our technology to deploy advanced AI agents, we are enabli

  11. Slide 11: ChemPass AI - Generates Candidates for Commercial Success

    CHEMPASS AI - GENERATES CANDIDATES FOR COMMERCIAL SUCCESS EVOGENE PRODUCT HIGHER PROBABILITY OF CANDIDATES SUCCESS DISCOVERY & OPTIMIZATION TARGET SELECTION EARLY ADVANCED APPROVED (protein) DEVELOPMENT DEVELOPMENT PRODUCT HIT HIT TO LEAD IDENTIFICATION LEAD OPTIMIZATION TM POINTHIT TM TM ACTIVESEAR

  12. Slide 12: Business Strategy: Co-Development

    BUSINESS STRATEGY CO-DEVELOPMENT - CAPTURE THE VALUE OF AITM CHEMPASS Unlock the full potential of ChemPass AITM through EVOGENE PARTNER strategic collaborative partnerships, accelerating AITM CHEMPASS SPECIFIC EXPERTISE innovation in small - molecule drug and agrochemical development NEW MOLECULAR

  13. Slide 13: ChemPass AI Workflow

    CHEMPASS AI WORKFLOW CHEMPASS AI DEVELOPMENT STEPS PARTNERINTERNAL / PIPELINE O – TARGET PREPROCESSING ABC module TM Preprocessing and target modeling TPP definition PointHit TM 1- HIT SCREENING Experimental validation Ultra large DB virtual screening ActiveSearch TM 2 - HIT-TO-LEAD Experimental val

  14. Slide 14: Harnessing the Power of ChemPass AI for Real-World Innovation

    HARNES SING THE POWER OF CHEMPASS -WORLD AI FOR REAL INNOVATION PHARMA DIVISION – Drugs AG DIVISION* – Ag-Chemicals Neutrophil- Derived Inflammatory Diseases Herbicides Demyelination Disorders PIPELINE Wheat INTERNAL leaf Blotch (Two targets) Cardiovascular Diseases INTERNAL PIPELINE Undisclosed The

  15. Slide 15: Our Story

    OUR STORY PIONEERING IN PHARMA GEN AI ENGINE REVOLUTIONIZING AG Growing number of ChemPass AI - computational Proven strategic collaborations for a diverse engine for the generation & collaborations driving our pipeline of drug candidates optimization of small molecules ag- chem pipeline 15

  16. Slide 16: 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% 1 >60 2 ~$190B 3 MOLECULES of total pharmaceutical market 1,344 B) ($ 150 % CAGR in 3last years by2034 16 1) DCAT Value Chain 2) Insights Science Direct 3) Prec

  17. Slide 17: AI-First Compounds Under Development

    PHARMA DIVISION AI-FIRST COMPOUNDS UNDER DEVELOPMENT 17

  18. Slide 18: Potential Collaborators: Business & Development Strategy

    PHARMA DIVISION POTENTIAL COLLABORATORS BUSINESS & DEVELOPMENT STRATEGY POTENTIAL PARTNERS UNMET NEEDS COMMON COLLABORATION PROFILE TIMELINE A strategic partnership to co - develop a novel drug 1. Rapid computational generation of molecules ACADEMIA/ asset, generate shared IP and/or commercializatio

  19. Slide 19: Diversified Drug Discovery Pipeline

    PHARMA DIVISION DIVERSIFIED DRUG DISCOVERY – (INITIATED PIPELINE4/25Q) LEAD INDICATION PROGRAM PREPROCESSING HIT ID HIT-TO-LEAD PRE-CLINICAL IND PARTNER OPTIMIZATION COLLABORATIONS 1 Oncology EVG - O311 Undisclosed 2 Metabolism* EVG - M410 3 Immunology EVG - I110 4 Neurology EVG - N210 5 Oncology EV

  20. Slide 20: Collaboration with Leading Academic Institute: Breast Cancer Therapies

    PHARMA DIVISION COLLABORATIONAWITH LEADING ACADEMIC INSTITUTE (UNDISCLOSED) NOVEL THERAPIES FOR BREAST CANCER TREATMENT AND LONGEVITY • Target : novel key mechanism linked to cancer cell survival, migration and therapy resistance • Global breast cancer therapy market is estimated at $30B annually 1,

  21. Slide 21: PointHit - Superior Hit Rates of Highly Potent Molecules

    TM- SUPERIOR HIT RATES OF HIGHLY POTENT MOLECULE POINTHIT 42molecules identified with outstanding results* “We used to screen thousands of compounds to get hits, with ChemPass AI this is not required. Out of 42 • 43% of tested considered candidate inhibitors compounds, 18 (43%) are inhibitors, and 8

  22. Slide 22: Collaboration with Prof. Ehud Gazit: Metabolic Diseases

    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 AITM with un

  23. Slide 23: Collaboration with Prof. Ehud Gazit: ChemPass AI Results

    PHARMA DIVISION COLLABORATIONPROF. WITH EHUD GAZIT, TAU, -AVIV,TEL ISRAEL NOVEL THERAPEUTIC MODALITY FOR METABOLIC –CHEMPASSAITMDISEASES RESULTS 100 90 90 82 86 80 INTERMEDIATE ANALYSIS OF 15MOLECULES INITIAL 80 70 • 33% of tested compounds reach activity threshold % Inhibition 60 • 2 molecules outp

  24. Slide 24: Our Story

    OUR STORY PIONEERING IN PHARMA GEN AI ENGINE REVOLUTIONIZING AG Growing number of ChemPass AI - computational Proven strategic collaborations for diverse engine for the generation & collaborations driving our drug targets optimization of small molecules ag- chem pipeline 24

  25. Slide 25: ~$88B Growing Market with Plenty of Room for Innovation

    EVOGENE'S SUBSIDIARY ~$88B GROWING MARKET WITH PLENTY OF ROOM FOR INNOVATION $47.3B BROAD SPECTRUM 1 HERBICIDES UNMET NEEDS 1 Increase of pest resistance & regulatory requirements $20.08B FUNGICIDES FOR 2 Urgent need for new Modes of Action ( MoAs) 2 MAJOR DISEASES 3 Decreased rate in discovery of n

  26. Slide 26: Leading Crop Protection Companies

    EVOGENE'S SUBSIDIARY LEADING CROP PROTECTION COMPANIES POTENTIAL DISCOVERY AND OUTLICENSE PARTNERS 26

  27. Slide 27: Current Crop Protection Pipeline

    EVOGENE'S SUBSIDIARY CURRENT CROP PROTECTION PIPELINE LEAD SAFETY & PROGRAM TARGET PREPROCESSING HIT ID HIT-TO-LEAD FIELD TESTING PARTNER OPTIMIZATIONENVIRONMENTAL COLLABORATIONS 1 Herbicide APCO - 12 Stage confidential INTERNAL PIPELINE Wheat leaf 1 APTF 1 blotch Wheat leaf 2 APTF 4 blotch Fungicid

  28. Slide 28: APTF-1 Presents Strong Potential: Internal Pipeline Wheat Blotch

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

  29. Slide 29: End-to-End Process - Novel, Highly Potent, Optimized Molecules

    EVOGENE'S SUBSIDIARY END -TO-END PROCESS – NOVEL, HIGHLY POTENT, OPTIMIZED MOLEC Step1 Step2 Step3 HIT SCREENING HIT TO LEAD LEAD OPTIMIZATION WITH TM POINTHIT TM WITH ACTIVESEARCH LEADOP TM WITH GPT TARGET PROTEIN New MOA - no available Ordered Ordered Ordered crystallographic structure with limite

  30. Slide 30: Evogene - Looking Forward

    EVOGENE – LOOKING FORWARD PHARMA DIVISION – DRUGS AG DIVISION* – AG-CHEMICALS • Progress in existing pipeline • Progress in existing pipeline • New collaborations with biotech companies • New collaborations with ag - chem and academic institutions companies • Building relationships with pharmaceutic

  31. Slide 31: Generating Real-World Innovation

    We generate highly potent and PIONEERING IN PHARMA NOVEL, DRUG -LIKE, novel small molecules, optimized Growing number of SYNTHESIZABLE MOLECULES across multiple - parameters, for collaborations addressing diverse drug targets for the pharmaceutical and ag - the benefit of human chemical industries h

  32. Slide 32: Creating Real-World Innovation for a Better Future

    Creating REAL-WORLD INNOVATION for a better future evOgene

Evogene — Investor Presentation (August 2026) on 6ix