Rivvit Inc., a data management firm for investment managers, unveiled a new artificial intelligence tool on Tuesday designed to let financial professionals “talk” to their portfolios.

The launch of the AI-powered virtual analyst marks a strategic pivot for the company, moving it beyond backend data reporting and into the competitive arena of conversational interface. The new tool allows users to query complex datasets and documents using natural language, effectively bypassing the need for SQL queries or static dashboards.

The ‘Fuel’ for AI

In an industry where a decimal point error can cost millions, financial institutions have been hesitant to embrace generative AI due to fears of “hallucinations fully”—confident but incorrect answers.

Rivvit is pitching its existing infrastructure—the unglamorous plumbing of data unification and governance—as the essential safety rail that makes this new technology viable for Wall Street.

“Data is the fuel for AI,” Matt Biver, the chief executive of Rivvit, said in a statement. “But AI only works when the data beneath it is clean, organized, and reliable.”

Biver argued that because Rivvit already governs the investment data across a firm’s systems, its virtual analyst can deliver “trustworthy, explainable answers that users can act on with confidence.”

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A New Interface for Wall Street

The tool is designed to democratize access to data across the front, middle, and back offices.

• Portfolio Managers can ask for immediate asset allocation insights.
• Accountants can verbally request explanations for changes in Assets Under Management (AUM).
• Risk Managers can investigate performance trends without waiting for a specialized report.

“Rivvit now gives everyone the ability to talk to their data,” Biver added.

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From Governance to Intelligence

The release represents the culmination of a broader evolution for Rivvit. The company has spent years building a “data foundation”—establishing centralized, clean data streams and enforcing strict governance protocols to track data lineage and health.

According to the company, the virtual analyst is not a standalone product but the “reward” for that foundational work. By layering a conversational AI on top of a rigorously governed database, Rivvit aims to solve the “last mile” problem in data analytics: delivering the correct answer to the user instantly.

“AI isn’t the end of the data journey,” Biver concluded. “It’s the reward for doing data right.”

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