Investor presentation
Logotype for Lunai Bioworks Inc

Lunai Bioworks (LNAI) Investor presentation summary

Event summary combining transcript, slides, and related documents.

Logotype for Lunai Bioworks Inc

Investor presentation summary

17 Feb, 2026

Market context and industry challenges

  • Over $170B in annual pharmaceutical revenue is at risk due to expiring patents by 2030, with 70 blockbuster drugs losing exclusivity and over 90% price compression expected post-patent loss.

  • Traditional drug development is too slow and costly to offset these losses, with timelines of 10–15 years and costs per approved drug ranging from $2.5B to $5B.

  • Boards are demanding urgent loss-of-exclusivity mitigation strategies, intensifying pressure on R&D innovation.

Platform and technology differentiation

  • The Augusta platform integrates AI, clinical data, and in vivo validation to de-risk drug discovery, focusing on biologically distinct subtypes rather than symptom-based disease definitions.

  • Proprietary technology includes patented data harmonization and debiasing methods, with two awarded US patents covering AI/ML model generation and data integration for drug discovery.

  • The platform enables rapid translation from patient data to experimental models, using tools like Phenograph and computer vision for high-throughput in vivo validation.

  • Over 77% of platform data is proprietary and AI-derived, supporting robust gene, phenotype, and drug association mapping.

Competitive positioning and partnerships

  • Distinct from peers by starting with clinical-grade patient biology and applying early in vivo validation, reducing human translation risk and capital intensity.

  • Partnerships include Supernus (epilepsy patient stratification and drug response prediction), Deerfield (joint ventures for novel therapeutics), and NIH STTR grants for alcohol use disorder research.

  • The platform is positioned for pharma partnerships and licensing, with a preclinical licensing model targeting substantial revenues in CNS and oncology.

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