Transform months of manual data entry into hours. Extract entities, structure events, and build quantitative datasets from qualitative sources— powered by LLMs and AI Agents, and designed for researchers.
Automate the manual work of extracting data from hundreds of documents. Focus on analysis, not data entry.
Define and extract custom attributes and variables from unstructured text sources using LLM-powered parsing for flexible data structuring.
Collect data from news articles, reports, academic databases, and policy documents in parallel.
Full methodology transparency and reproducible workflows that meet academic research requirements.
Convert qualitative text into quantitative datasets ready for statistical analysis.
Built-in quality checks and validation ensure data accuracy and consistency.
Interactive demo - no signup required
A machine learning proof-of-concept developed to predict the likelihood of violence at protest demonstrations. This educational project demonstrates the application of supervised learning to social science research questions.
Educational project demonstrating technical proficiency in machine learning workflows, data preprocessing, model training, and deployment.
Please feel free to get in touch to discuss potential opportunities or view my work in detail.