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.
