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Delivering Actionable Market Alpha with Real-Time Earnings Call Intelligence

In the world of finance, information latency is the difference between profit and loss. A leading financial advisory firm needed to equip its strategists and investors with an immediate information edge during the volatile earnings season. They partnered with Evren AI to build MarketPulse Live, a real-time analysis platform that ingests, transcribes, and summarizes earnings calls the moment they happen, turning unstructured audio into actionable market intelligence.

Industry:Financial Services & Investment Tech
Core Challenge:Information Latency & Inefficient Data Analysis
Solution:Real-Time Transcription, AI-Powered Summarization, NLP Sentiment Analysis
Transforming Business Operations with AI Agents for Zenith Enterprises
Challenge illustration
Challenge illustration

The Strategic Imperative: Achieve an Unfair Information Advantage

Eliminating the Delay Between Call and Insight

The goal was to create a system that could process live earnings call audio and provide summaries, key takeaways, and sentiment analysis in near real-time.

Analyzing Nuance and Sentiment at Scale

The firm aimed to deploy NLP models that could detect shifts in tone and sentiment, providing qualitative insights beyond simple transcription.

Building a Scalable, High-Availability Platform

The platform needed to handle concurrent data streams from multiple calls, ensuring reliable insights for hundreds of users during peak market hours.

In our business, speed is everything. Evren AI delivered a platform that has fundamentally changed how we operate during earnings season. We are no longer reacting to the market, we are anticipating it. Their ability to translate a complex architectural vision into a high-performance, real-world tool has been exceptional.

Chief Investment Officer

Financial Advisory Firm

Our Blueprint for a Real-Time Intelligence Engine

Architected a Cloud-Native Microservices Platform

Designed a fully containerized, microservices-based architecture on Google Cloud Run, ensuring scalability and high availability with no single points of failure.

Deployed a Low-Latency Transcription and NLP Pipeline

Integrated OpenAI Whisper and custom NLP models for real-time transcription and processing of live audio streams, extracting key insights and sentiment.

Engineered a Dynamic, Real-Time Frontend

Developed a responsive dashboard with Next.js to visualize real-time stock changes, sentiment, and AI-generated summaries, updated via WebSockets.

Implemented a Resilient, API-First Design

Built the system with an API-first approach, ensuring seamless communication between microservices and enabling future integration with proprietary trading algorithms.

Enterprise AI System

The Transformational Outcome: Faster Insights, Smarter Decisions, and a Clear

From Live Audio to Actionable Insight in < 90 Seconds

The platform reduced the information-to-insight cycle from hours to under 90 seconds, offering a speed advantage during critical market events.

Unlocked Qualitative Insights with Sentiment Analysis

Real-time sentiment tracking during Q&A sessions provided leading indicators for market reactions beyond raw data.

Enabled Monitoring of 10+ Concurrent Earnings Calls

The scalable platform allowed analysts to monitor over ten simultaneous earnings calls, increasing market coverage significantly.

A Platform for Compounding Information Advantage

The platform serves as a foundation for future AI-driven forecasting and anomaly detection, ensuring a growing information edge.

These results demonstrate the transformative power of AI when implemented strategically and thoughtfully.

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