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IT Services and IT Consulting
Amazon Bedrock, Amazon S3, AWS IAM, Amazon CloudWatch, Amazon API Gateway
Automated financial sentiment analysis with enhanced insights and security
The client is an AI-driven fintech company based in Pune, specializing in Social Sentiment Insights (SSI) for institutional investors. Founded in 2019, the company uses AI, big data, NLP, and blockchain to provide real-time sentiment analysis from social media and news. Through its Sentiment Dashboards, pre-market alerts, and APIs, the client helps investors and analysts manage social risk, optimize trading strategies, and make data-driven financial decisions.
Reduction in Manual Analysis
Scalable processing
Amazon CloudWatch & AWS CloudTrail
The global financial analytics organization struggled with legacy infrastructure that couldn’t handle large data volumes, resulting in delays and unreliable sentiment analysis outputs. Their existing systems lacked precision in evaluating tone, credibility, and relevance across diverse news and social media sources, while real-time processing across multiple markets remained inconsistent. High information noise, limited market coverage, and scalability issues further compromised the quality and timeliness of insights critical for institutional investors’ decision-making.
• AI-powered sentiment analysis using Amazon Bedrock Nova Pro for financial content and entity extraction
• Multi-modal framework for Reddit and news processing with structured JSON output
• Secure API interface via Amazon API Gateway and AWS Lambda for batch and real-time queries
• Automated workflow with Bedrock models and Lambda for continuous market monitoring
• Financial data storage in Amazon S3 for inputs, results, and historical analysis
• Scalable serverless infrastructure with IAM, CloudWatch monitoring, and CloudTrail auditing
• High availability through AWS-native scalability for consistent performance during market events
Developed AI-driven financial sentiment analysis using Amazon Bedrock Nova Pro, achieving 85% manual analysis reduction, 4× scalable processing capacity, and secure automated data pipelines for real-time market intelligence.
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