About Siren Analytics

Siren Analytics is a leading digital transformation partner dedicated to helping organizations enhance their service delivery through cutting-edge technology and data-driven solutions. They specialize in research, strategy development, software development, data analytics, artificial intelligence (AI), change management, and process optimization. Their expertise spans multiple industries, assisting organizations in making smarter, more efficient decisions with advanced data intelligence.

What Was Their Challenge?

Siren Analytics operates a news aggregator and sought to enhance its capabilities by expanding its web scraping library. The goal was to seamlessly integrate web-scraped data into their AI-powered filtering system, which processes and categorizes news articles before pushing them into their product. However, the project came with strict constraints:

• High-level architectural guidelines that the new code had to adhere to.
• Scalability and accuracy, ensuring the scrapers would work flawlessly with their AI model.
• A tight deadline, requiring a fast yet reliable implementation.

The solution

To meet Siren Analytics’ needs, we implemented 90 web scrapers within a span of just one month, ahead of schedule. Our solution was built to perfectly align with their system’s architecture, ensuring seamless integration with their AI-driven news filtering pipeline.

By implementing this high-quality solution, we enabled Siren Analytics to scale its news aggregation process, improve efficiency, and enhance the accuracy of its AI-driven content filtering. This project underscores our ability to deliver fast, scalable, and AI-compatible web scraping solutions for businesses with demanding data processing needs.

Technologies

The whole project was implemented using Java and Spring Boot