Think you know Reaxys? Think again.

Chemistry resources often present difficult budget and governance challenges. Library leaders need predictability and strategic alignment, not just another tool. Reaxys allows a more sustainable and predictable budget allocation without compromising the scientific quality teams depend on.

• Cost-effective solutions: Maintain strong teaching and research support with a model designed for long-term sustainability.

• Seamless AI integration: Enhance library services by offering tools that improve research efficiency and support scholarly communication.

Being future-ready means investing in new technology, talent, collaborations, and ways of working. It also requires adapting beyond legacy preferences to align with how chemistry is taught, learned, and researched today.

• Support the student journey:

  Move students from early text exploration to complex structure and advanced search.

• Build modern graduate skills:

  Equip students with AI competencies for scientific careers.

• Protect quality and budgets:

  Preserve research quality with trusted quality data and innovative technologies, without locking into legacy assumptions.

AI has been part of Reaxys’ evolution for years, from AI-based data extraction to synthesis route prediction. The focus now expands to trusted content, improved retrieval, and grounded insights linked to cited evidence.

• Natural-language search:

  Begin with a simple chemistry question when structure drawing is not the easiest starting point.

• Broader discovery:

  Move from a first question to summaries, relevant literature, procedures, summaries, and next-step insights.

• Chemistry-specific AI development:

  Benefit from broader chemistry use cases supported by AI.