From Data to Decisions: How Bigdata.com Powers AI Agents for Financial Research Using AWS

Bigdata.com helps investors, analysts, and developers deploy compliant, trustworthy AI agents that satisfy the complexity and regulatory demands of financial markets. Built on AWS, it offers a unified platform where research becomes scalable, auditable, and faster. Following the AWS Shared Responsibility Model, Bigdata.com achieves data privacy, regulatory compliance, and security at scale to meet the high standards of institutional clients.

The platform migrated from open-source, self-managed large language models (LLMs) to Amazon Bedrock, an easy way to build and scale generative AI applications. To train and deploy LLMs, Bigdata.com also used Amazon SageMaker, which brings together widely adopted AWS machine learning and analytics capabilities.

Bigdata.com supports agents that deliver deep research, automated insights, and near real-time analysis. Powered by AWS, the platform helps users handle massive amounts of data from more than 115 million documents and over 14,000 sources. With infrastructure that its users can own and trust, Bigdata.com delivers speed and accuracy at scale. “Bigdata.com empowers professionals with finance-specific AI agents built on trusted data and scalable AWS infrastructure,” says Jose Luis Cruz, director of IT operations at RavenPack (Bigdata.com).

Bigdata.com’s serverless architecture on AWS meets the platform’s flexibility, scalability, and performance needs while helping the company off-load the operational overhead to AWS and focus on core product innovation. Bigdata.com achieved 43.7 percent reduction in time to first token—the latency between a user query and the start of the AI response. In addition, the platform can now serve 98.7 percent more users simultaneously without affecting performance. It also improved throughput, which shows data processing speed, by 103 percent and optimized costs through pay-as-you-go pricing.

Collaborating with the AWS team, Bigdata.com can rapidly expand features that are tailored to how finance professionals work, including intelligent agents that summarize earnings or analyze regulatory filings in near real time. “The AWS team knows our company inside out, and its advice and support were pivotal in building Bigdata.com,” says Cruz.

Bigdata.com will continue to evolve and add features, using cutting-edge AWS technologies to meet user needs. “With Bigdata.com, our vision is to become the go-to platform for financial professionals—where trusted data powers intelligent AI agents that transform how research gets done,” says Cruz.