Turning AI into Actionable Insights: Fabric by Algo Analytics’ Real-Time Sentiment Platform

Introduction

Algo Analytics had built a strong AI foundation for analyzing market sentiment but lacked a clean, intuitive interface to make this power accessible to users. Fabric by Algo Analytics aimed to change that. By partnering with Latent, they developed a web-based portal that pulls in news and social media data, analyzes sentiment, predicts stock trends, and delivers actionable insights through reports—all in real time.

The Client Challenge

• Algo’s AI model offered great predictive capacity, but no appealing interface for users.

• Users struggled to access live signals and trend data in one place.

• Reporting and insights were limited or static; deep analysis required manual effort.

• The product needed a front end that could integrate multiple data streams smoothly and deliver value fast.

Latent’s Solution

• Built a web portal that fetches real-time news & tweets related to stocks through integrated APIs.

• Implemented sentiment analysis to evaluate positivity/negativity of market chatter and calculated prediction trends.

• Added quarterly analysis features and PDF report generation so users can dive deeper.

• Designed UI/UX to be clear and usable—bridging the gap between raw AI output and meaningful insights.

The Results

• Proof of concept (POC) successfully showcased in an enterprise setting, helping secure a contract for full-scale development.

• Fabric now operates as a fully-fledged product, not just a model.

• Client expanded its capability to deliver advanced analytics combined with user-friendly reporting.

• Product turned into a tool that supports faster, more informed investment decisions.

Conclusion

With Fabric by Algo Analytics, Latent turned raw AI into something usable, insightful, and actionable. The project shows how integrating real-time data, sentiment analysis, and accessible reporting transforms an AI model into a product that investors can truly benefit from.