Updates and new features in Spark
We've upgraded Spark's chat with automatic tool selection, AI-powered prompt improvement suggestions, and smart follow-up recommendations across all features.
AI structures complex research topics into manageable subproblems and creates custom evaluation criteria, forming a research matrix. You can then deploy AI agents to systematically investigate every cell in the matrix. Download results into Excel for integration with existing R&D workflows. Resume stored matrices anytime to continue building on your research.
The news analysis workflow now lets you define topics using narrative descriptions instead of just lists. This makes it easier to describe complex or nuanced topics. Additionally, all analysis results are now automatically saved to your personal Spark data vault.
Spark’s new patent analysis workflow automates the tedious process of generating patent search queries, assessing patent relevance against specific criteria, and extracting key technologies and applications from relevant patents. Results are saved to your personal vault and downloadable as Word documents.
Spark's news analysis enables customized topic tracking. It features ready-made templates, regional filtering, category organization, and role-specific reporting—delivering tailored intelligence in multiple languages to different stakeholders across your organization.
Spark's new 'wand' feature helps transform your questions into comprehensive discovery workplans, exploring finance, technology, regulatory, and application perspectives to reveal deeper insights and blind spots in your thinking.
Spark now lets you upload and discuss PDFs with smart follow-up suggestions. It handles both scanned and digital documents (up to 100 pages). We also added relevant tool suggestions in the chat, and built a new autonomous workflow for text classification.