Leverate Expanded MCP Platform With AI Benchmarking
The fintech firm added new automated analysis tools to its brokerage platform to streamline reporting.
Updated on Sept. 29, 2026 in Artificial Intelligence
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Leverate has updated its MCP for Brokers platform to include AI-driven benchmarking capabilities. The system allows brokerage teams to generate business insights and recommendations using plain-language queries.
Why it matters
This expansion provides brokers with a more efficient way to derive value from their internal data. The new tools aim to replace the traditional, manual process of commissioning custom business reports.
Leverate offers these analytical tools based on 19+ years of industry experience. The integration utilizes industry norms, reference tables, and a broker's own historical trading data.
The players
Leverate
Leverate is a financial technology company that has been operating in the industry for 19 years.
The details
Brokers connect the platform through Back Office settings to interact with AI assistants using plain-language questions. To ensure data security, the read-only system runs queries against a dedicated analytics environment rather than live CRM databases and excludes all personal identifiable information.
Timeline
Leverate launched the initial MCP for Brokers platform in July 2026.
The expansion of the platform was announced on September 29, 2026.
The Tech Race
The integration of AI assistants into the MCP for Brokers platform reflects a broader trend of replacing manual, bespoke reporting tasks with automated, data-driven software solutions. This evolution positions Leverate to compete more effectively against firms that rely on legacy manual reporting systems.
Brokers using the platform can expect to save significant time by bypassing the need for manual report generation. The AI-integrated system provides immediate business recommendations while maintaining data privacy by excluding sensitive personal client information.
The takeaway
Automated benchmarking tools allow businesses to transform raw historical data into actionable strategy without complex technical overhead. Organizations should ensure that any AI implementation keeps sensitive client data isolated from analytical processing environments.
Further reading
Learn more about the latest innovations in Artificial Intelligence.
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