AI case study

RBC Capital MarketsInvestment research

Analysts were capped at 15 companies. AI agents cut alpha discovery from 12 months to two and generate reports 60% faster.

Published

Key results

Faster Generation
up to 60%
Processing Capacity
10x
Discovery Timeline
2 months
vs 12 months

Result highlights

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The story

Context

The capital markets division of a global financial institution, supporting over 8,000 employees across research and banking functions.

Challenge

Manual research processes limited analyst coverage to just 15 companies per person and extended alpha pattern discovery cycles to 12 months. Complex...

Solution
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Scope & timeline

  • 8,000+ employees using Aiden AI platform

Quotes

The company

RBC Capital Markets logo

RBC Capital Markets

rbccm.com

Global investment bank providing corporate, institutional, and government services.

IndustryFinancial Services
LocationToronto, ON, Canada
Employees5K-10K
Founded1864

The implementation partner

KDB.AI logo

KDB.AI

kdb.ai
Role in this case study

Provided the KDB.ai database platform to support RBC Capital Markets' AI-driven data acceleration.

IndustrySoftware & Platforms
LocationLondon, ENG, United Kingdom
Employees51-250
Founded2023

The vendor

NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.

IndustryTechnology
LocationSanta Clara, California, United States
Employees10K-50K
Founded1993

Use case

RBC Capital Markets's Investment research is part of this use case:

Research Synthesis
27 case studies(+45% YoY)
Proven impact?
LowModerateVery Strong
2.9Low
3.7Moderatewithin Financial Services
4.8Moderatewithin Knowledge Management

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