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RBCCapitalMarketsbuildstrustedAIresearchsolutionwithBigdata.com

RBC Capital Markets built Aiden, a proprietary GenAI platform designed to transform how analysts discover, validate, and synthesize financial intelligence. RBC partnered with RavenPack, using its Bigdata.com platform as a single, production-ready intelligence layer.

RBC Capital Markets built Aiden, a proprietary GenAI platform designed to transform how analysts discover, validate, and synthesize financial intelligence. RBC partnered with RavenPack, using its Bigdata.com platform as a single, production-ready intelligence layer that expanded Aiden's reach beyond internal knowledge, without introducing licensing risk, operational drag, or years of engineering work.

The challenge: scaling trusted GenAI

Aiden was built to improve research turnaround time, answer quality, and analyst productivity. As adoption grew, so did expectations. To function as a true research copilot inside a Tier-1 bank, Aiden needed external financial intelligence that was:

  • Licensed and compliant for enterprise banking use

  • Clean, normalized, and AI-ready, not raw vendor feeds

  • Fast to integrate, without long internal build cycles

  • Continuously updated and searchable across multiple sources

The solution: a single, governed intelligence layer for Aiden

Bigdata.com became a trusted financial intelligence source. Through a single API platform, RBC integrated licensed, normalized external data directly into Aiden, replacing years of data engineering, vendor management, and enrichment work with a production-ready solution optimized for trusted research. Here's what Bigdata.com delivered:

  • Normalized content schemas enabling consistent mapping across vendors

  • Automated ingestion and enrichment, improving reliability and usability

  • Search and retrieval tooling purpose-built for LLM workflows

  • A secure, scalable API layer ready for enterprise deployment

This allowed Aiden to reason over external market information with the same confidence and governance as internal data.

Impact: faster research, better answers and broader coverage

Presented at NVIDIA GTC 2026 by Bobby Grubert, RBC's Head of AI & Digital Transformation, the results are concrete:

  • Earnings analysis reduced from 45–120 minutes to seconds

  • Complex client inquiries that took hours or weeks now answered in real time

  • Analysis across 1,000+ companies cut from 60 minutes per company to seconds

  • Up to $1 billion in projected AI-driven benefits

Together, RBC Capital Markets and RavenPack built a scalable foundation for GenAI-powered research, one that combines trusted data, governed access, and measurable productivity gains.

© 2026 Bigdata.com by RavenPack. All rights reserved.

© 2026 Bigdata.com by RavenPack. All rights reserved.