AI case study

RogoFinancial research automation

Models hallucinated 34.1% of the time. Rogo switched to Gemini to cut errors to 3.9% and slashed month-long pipelines to 3 hours.

Published|6 months ago

The story

Context

A financial intelligence platform serving investment banks and private equity firms consolidates proprietary internal data alongside external sources like SEC filings and market news.

Challenge

Financial analysis demands high precision, but early models suffered from hallucination rates of 34.1%, making them unreliable for critical...

Solution
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Scope & timeline

  • Experimentation pipelines cut from 1 month to 3h
  • AI modeling time cut from weeks to hours
  • AI modeling timelines reduced from months to weeks

Quotes

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The company

Generative AI platform for financial research, data analysis, and investment workflows.

IndustryFinancial Services
LocationNew York, NY, USA
Employees11-50
Founded2021

The AI provider

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

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