Financial Services

CHALLENGE

FintechAI is developing AI-driven financial analysis capabilities designed to help users interact with large volumes of market and investment information through natural-language experiences. The project required an architecture that could combine secure application infrastructure with generative AI and retrieval-augmented generation, while protecting data in transit and at rest and remaining scalable under changing traffic demand.

SOLUTION

FintechAI is developing AI-driven financial analysis capabilities designed to help users interact with large volumes of market and investment information through natural-language experiences. The project required an architecture that could combine secure application infrastructure with generative AI and retrieval-augmented generation, while protecting data in transit and at rest and remaining scalable under changing traffic demand.

POC VALIDATION

• Defined a RAG architecture for grounding generative AI responses in controlled financial knowledge sources.
• Defined a RAG architecture for grounding generative AI responses in controlled financial knowledge sources.
• Designed a secure application and AI infrastructure model with protected data handling across application, retrieval and generation workflows.
• Created a repeatable infrastructure approach using Terraform for subsequent deployment and iteration.

TECHNOLOGIES

Amazon Bedrock · Amazon Bedrock Knowledge Bases · Amazon Titan Embeddings V2 · Amazon OpenSearch Serverless · Amazon S3 · Amazon EKS · Amazon RDS for PostgreSQL · AWS KMS · Amazon CloudWatch · Terraform