Building an AI platform that replaces manual political monitoring at scale

The founding team’s public affairs experience defined what the platform needed to do – which institutions to monitor, what document types matter, how practitioners actually work. We took that domain knowledge and built the entire AI and engineering layer: from initial proof of concept through to a launched product with paying customers.

Automated data collection and structuring. The platform systematically collects political documents from national and international sources, ingesting them into a robust data architecture designed to handle millions of documents across multiple languages. Raw, unstructured political content is transformed into structured, searchable data.

AI-powered analysis with NLP and LLMs. Advanced natural language processing algorithms and large language models analyze the collected documents – identifying topics, extracting key developments, classifying content by policy area, and generating concise summaries. The system handles the domain-specific language of political and legal texts, which is fundamentally different from general-purpose text.

Personalized dashboards and notifications. Users receive customized views based on their specific monitoring interests – topics, institutions, countries, keywords. AI-generated summaries surface the most important developments in real time, so users don’t have to read entire documents to understand what matters.

From PoC to production. The engagement covered the full product lifecycle: initial proof of concept to validate the approach, iterative development of the platform, and a production launch with real paying customers. The structured, agile approach kept development efficient and on schedule throughout.