Gemini brings speed, retrieval accuracy, and multimodal reasoning to proprietary research platforms across more than 200 global investment teams

NEW YORK, Oct. 8, 2026 /PRNewswire/ — Balyasny Asset Management (BAM) and Google Cloud today announced a collaboration to deploy Google’s Gemini models within the investment firm’s proprietary artificial intelligence (AI) research platforms, providing analysts with specialized capabilities for high-volume document ingestion and complex multimodal financial analysis.

Across BAM’s more than 200 global investment teams, analysts evaluate thousands of earnings transcripts, central bank announcements, regulatory filings, and market feeds each week. To streamline research workflows, BAM built proprietary internal applications, including BAMAgent, designed to orchestrate specialized AI models and agents across more than 80 internal financial databases and enterprise tools. Within its multi-model architecture, BAM utilizes Google’s Gemini models for quantitative work that requires rapid analysis of large financial datasets, high-accuracy document retrieval, and cost-effective performance.

“Across our investment practice, different research tasks demand specialized model capabilities,” said Charlie Flanagan, chief AI officer at Balyasny Asset Management. “When our research agents evaluate thousands of market feeds simultaneously, model speed, retrieval accuracy, and cost efficiency are critical. Gemini delivers the throughput our analysts need for high-volume document search, as well as the multimodal reasoning required to analyze complex financial charts and corporate disclosures.”

“Capital markets require speed, precision, and strict data governance, making them a natural proving ground for advanced artificial intelligence,” said Rohit Bhat, general manager and managing director of Financial Services at Google Cloud. “By integrating Gemini into its custom research platforms, BAM is showing how global investment firms can securely deploy specialized models to analyze complex market signals and give their analysts an edge.”

Across BAM’s proprietary AI research platforms, Gemini models help deliver targeted capabilities for the firm’s investment teams:

• High-throughput research: Connected to more than 80 internal financial databases and market feeds, custom research agents leverage Gemini to synthesize financial research, earnings transcripts, and live market data, giving analysts rapid access to critical market information.
• Multimodal analysis: Within BAM’s research platforms, including BAMAgent, Gemini provides investment teams with multimodal capabilities, allowing analysts to evaluate visual and tabular information—such as charts, balance sheets, and regulatory filings—whenever a workflow requires visual interpretation.
• Enterprise security and data privacy: Integrated within Google Cloud’s secure infrastructure using VPC Service Controls, Gemini deployments maintain strict data isolation, guaranteeing BAM’s proprietary trading data and strategies remain strictly confined to its private cloud environment.

Looking ahead, BAM’s Applied AI team will continue collaborating with Google Cloud through early-access programs, testing upcoming Gemini models to advance AI performance across institutional financial research.

About Balyasny Asset Management
Balyasny Asset Management (BAM) is a diversified global investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder, and Taylor O’Malley. With over $37 billion in assets under management, BAM brings together more than 2,700 people across 24 offices in the U.S. and Canada, Europe, the Middle East, and Asia. The firm’s investment teams span five strategies: Equities Long/Short, Fixed Income & Macro, Commodities, Multi-Asset Arbitrage, and Systematic. Balyasny’s mission is to deliver to its investors absolute, uncorrelated returns in all market environments.

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SOURCE Google Cloud