How Lytics Boosted Real-Time Insights with AI-Powered Monitoring

Lytics’ AI-powered news monitoring system enables businesses to process real-time data and conduct sentiment analysis at scale. By using advanced news scraping and sentiment analysis, the platform delivers actionable insights to users. To enhance scalability, precision and real-time processing, Lytics partnered with Pixelette Technologies to strengthen its ability to drive smarter, data-driven decision-making.

Business Type

B2B SaaS

Industry

AI Analytics

The blocker

Lytics faced significant challenges in processing real-time data and conducting sentiment analysis at scale. Accurately interpreting large datasets quickly was a major hurdle, especially when monitoring a vast range of news sources. Without a scalable, high-precision system, Lytics risked inefficiencies, missed opportunities and delays in responding to critical market trends.

The goal

To overcome these challenges, Lytics aimed to improve its platform with AI-driven capabilities that could process real-time data more efficiently, improve sentiment analysis accuracy and expand source coverage. The goal was to refine the system’s ability to deliver actionable insights to users while ensuring smooth scalability and operational efficiency.

The Solution

Lytics partnered with Pixelette Technologies to strengthen its platform with advanced AI-powered news monitoring and sentiment analysis capabilities. Our team helped enhance the system’s ability to scrape and analyze vast amounts of news data in real time to improve accuracy and responsiveness. By refining the platform’s scalability and real-time processing, this collaboration empowered Lytics to provide businesses with smarter, data-driven awareness.

The process

Pixelette Technologies collaborated with Lytics using a cross-functional, phased approach to make sure the platform’s efficiency, scalability and integration matched with Lytics' objectives. Over six months, the project focused on refining accuracy, performance and AI-driven capabilities for real-time news monitoring and sentiment analysis.

Design and development

Testing was conducted to validate the platform’s performance under diverse conditions and datasets. After final refinements, the enhanced solution was deployed, providing Lytics with a fully operational system capable of scaling with their evolving needs.

Testing and deployment

In the final stages of the project, we were able to achieve up to 98% accuracy in ad detection through continued testing and refinements. We successfully delivered and integrated the AdWatch Engine into live media streams, enabling real-time functionality and immediate impact on enhancing ad monitoring and viewer experience.

Discovery and research

Pixelette’s research and design teams conducted in-depth market analysis and reviewed user feedback to understand the complexities of real-time data processing and sentiment analysis. This phase helped define all technical requirements to make sure that the system aligned with Lytics' business goals.

AI model training and integrations

The AI and data science teams collaborated to train sophisticated machine learning models for precise sentiment analysis and real-time data processing. We also developed seamless integrations with news sources, ensuring the system could deliver actionable insights across multiple media platforms.

The chosen tech stack

The strategic IT staff augmentation led to significant improvements and achievements:

Our impact

By integrating AI-driven news monitoring and sentiment analysis, Pixelette Technologies helped Lytics enhance its platform’s accuracy, scalability, and efficiency. These advancements enabled the system to process and interpret vast amounts of real-time data with greater precision.