Discover intellectual property and patent information related to your data with Raycaster’s patent research capabilities
Automatically discover, analyze, and connect patents to your data for comprehensive intellectual property insights.
Find patents related to specific technologies, companies, or people
Extract key patent information including claims, filing dates, and inventors
Connect patents to your existing data for comprehensive IP landscapes
Raycaster’s Patent Research capability enables you to automatically discover and analyze intellectual property relevant to your data. This feature searches through patent databases and extracts key information about patents related to specific drugs, technologies, companies, or scientific concepts.
Patent Research helps you:
The Patent Research capability works with the Research column type.
The system identifies the data to research, such as drug names, technologies, or companies in your selected column.
Raycaster gets to work, utilizing multiple sources and AI agents to get the most relevant patents that match the criteria.
The system extracts and analyzes key information from patent documents, including claims, assignees, inventors, filing dates, and technology classifications.
Research results are formatted according to your column type with structured patent data, citations, and links to original documents.
Follow these steps to set up and use Patent Research in your workspace:
Create or Select a Column
Start by identifying which column contains the data you want to research (e.g., drug names, company names, or technology descriptions). Either use an existing column or create a new one.
Create a Research Column
Create a new column where the patent research results will appear:
Configure Research Settings
Configure the column for patent research:
Helpful Tip: Utilizing the ’@’ character within the search query allows you to utilize variables from other columns. For example, names of companies or people.
Save Your Configuration
Save your column configuration:
Once your column is configured, you can run patent research for a cell by clicking the research button You can also run patent research on a whole column with the “Save & Run All” option.
Patent research results provide structured information about patents related to your data:
Depending on your research prompt and column configuration, patent research can provide:
When you click on a cell containing patent research results, the side panel will open with comprehensive information:
Map out the patent landscape in a specific technology area to understand key players, trends, and whitespace opportunities.
Analyze competitors’ patent portfolios to understand their technology positioning, R&D focus, and potential future products.
Identify potential patent barriers for new products or technologies to avoid infringement risks.
Provides the ability to send targeted outreach taliored to patents for outreach.
Follow these best practices to get the most accurate and useful patent research results:
Be specific about patent types - Clearly specify what types of patents you’re interested in (e.g., composition patents, method patents, formulation patents)
Include relevant technical terms - Use precise technical terminology that would appear in patents related to your area of interest
Specify date ranges - Indicate whether you want recent patents, historical patents, or a specific time period
Mention key jurisdictions - Specify if you’re particularly interested in US patents, European patents, or global coverage
Request specific metadata - Clearly state what patent information is most important (filing dates, assignees, claims, etc.)
Use filtering criteria - Include parameters to filter results (e.g., only active patents, only patents from certain companies)
Request specific organization - Indicate how you want results organized (chronologically, by relevance, by assignee, etc.)
Patent research works best when your source data is specific. Generic terms may return too many unrelated patents, while highly specific compound names or technologies will yield more relevant results.