Blog
Updates and new features in Spark
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Recent updates
Organize your research with Projects
Stop wasting time searching through scattered chats and mixed research artifacts. Projects let you group related research together, including chats, matrices, patent analyses, news analyses, and documents, so you can find what you need in seconds. Add research to projects directly after running an analysis, from chat conversations, or from your saved research. Each artifact can belong to multiple projects, giving you flexible organization that matches how you actually work.
Why Spark, not just Copilot: Different tools for different work
Spark and Copilot may look similar, but they serve different worlds: Copilot targets general-interest use cases, while Spark is built for deep-tech R&D in advanced engineering, aerospace, electronics, energy, medical devices, and materials. It connects to specialized data (patents, publications, company sources), translates your prompts into queries that each database can handle, and provides agents like Research Matrix, Patent Analysis, and Value Chain Analysis to automate tasks engineers usually do manually. Instead of essays, it delivers structured outputs engineers can work with directly - and with new agents and topic spaces coming soon, Spark’s R&D focus will only deepen.
We improved Spark's chat
We've upgraded Spark's chat with automatic tool selection, AI-powered prompt improvement suggestions, and smart follow-up recommendations across all features.
Introducing: Research Matrix
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.
Updates to the news analysis workflow
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.
New workflow: Patent analysis
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.
Introducing Spark's news analysis
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.
Asking better questions
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.
Chat with PDFs, tool suggestions, text classifier
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.