RBC Capital Markets Global Healthcare Conference 2026
Logotype for Schrödinger Inc

Schrödinger (SDGR) RBC Capital Markets Global Healthcare Conference 2026 summary

Event summary combining transcript, slides, and related documents.

Logotype for Schrödinger Inc

RBC Capital Markets Global Healthcare Conference 2026 summary

22 May, 2026

Market environment and customer trends

  • Biotech funding and sentiment have improved significantly compared to last year, leading to new customer additions and business growth.

  • Pharma companies have resumed R&D spending, moving away from previous budget freezes and focusing on technology investments.

  • Efficiency and lean operations are prioritized in biotech, with computational tools enabling small teams to achieve major exits.

  • Adoption gaps among top pharma customers are closing, with increased spend and new product trials.

  • Disparities in technology spending among top pharma are driving broader adoption as companies seek to avoid being left behind.

Technology adoption and industry inflection

  • The industry is in the early stages of large-scale adoption of computational and AI-driven drug discovery.

  • Companies leveraging computation and AI are achieving faster, higher-quality development candidates.

  • FOMO is accelerating adoption as success stories become public, with the sector expected to follow other industries transformed by computer-aided design.

  • Both internal investment and external collaborations are pursued, with high-priority projects now involving substantial up-front commitments.

  • Collaborations are increasingly used for know-how transfer, helping partners learn to deploy technology at scale.

Product innovation and rollout

  • Bunsen, an agentic AI built on LLMs, will enter early access this summer, aiming to simplify complex workflows and scale adoption.

  • Previewed to major customers, Bunsen received positive feedback and is expected to drive license consumption through throughput-based licensing.

  • Predictive toxicology offering enables early computational screening for toxicity, reducing late-stage surprises and animal testing.

  • The predictive tox panel will expand over time, with ongoing development to cover more targets.

  • Early results show accurate replication of experimental screens and strong market receptivity.

Partial view of Summaries dataset, powered by Quartr API
AI can get things wrong. Verify important information.
All investor relations material. One API.
Learn more