Synthetic Assistant for Report Analytics
In a world where decision-making depends on fast, reliable insights, SARA (Synthetic Assistant for Report Analytics) could help organizations unlock the full value of their research archives. Whether you’re dealing with thousands of policy papers, strategic reports, or internal text-based analyses, SARA could enable you to navigate vast information landscapes with precision and speed.
Using AI techniques such as Retrieval-Augmented Generation, vector search, and graph-based exploration, SARA helps users quickly find relevant content, extract insights, and trace connections across themes and timelines. Rather than relying on manual search and review, it enables more efficient engagement with large bodies of text, turning static archives into dynamic knowledge sources.
Originally developed as an internal research tool, SARA is designed to be adaptable across different organisational contexts. Its architecture makes it suitable for use in governmental organisations, research institutes, or private sector environments where large document collections play a central role—offering a structured approach to analysing accumulated knowledge and informing ongoing work.
SARA Project Team
Jesse Kommandeur
Strategic Analyst
HCSSOscar Lodeizen
Assistant Analyst
HCSSInterested? We invite organisations and governments to explore how the SARA tool can unlock the full value of their research archives. From thousands of policy papers to strategic reports and internal analyses, SARA helps users navigate vast collections of text with speed and precision. To find out more about accessing or contributing to SARA, contact the HCSS Datalab at datalab@hcss.nl.