martini.ai Launches Voice Typing for Real-Time Credit Risk Analysis

Industry’s First Voice Dictation Tool for Credit Analysis Delivers 3x Speed Advantage, Enabling Analysts to Capture Complex Queries Naturally Without Breaking Workflow
BusinessWireDecember 15, 20256 min

martini.ai, a leader in AI-driven credit risk analysis, today announced the launch of Voice Typing, the industry’s first voice dictation capability purpose-built for real-time credit analysis. This feature enables credit professionals to speak naturally and receive immediate, data-driven answers on company health, peer benchmarks, and portfolio risk, transforming how analysts interact with complex financial data.

Speaking Removes the Friction From Complex Analysis

Voice Typing addresses a fundamental bottleneck in credit research: the mechanics of typing complex queries. Research consistently shows that speaking is 3x faster than typing — people can speak 150 words per minute versus typing 50 — but the productivity gain extends far beyond raw speed. When articulating nuanced credit questions involving multiple companies, time periods, and comparative metrics, analysts can now maintain their analytical flow without the cognitive overhead of condensing thoughts into typed queries.

“The real breakthrough isn’t just speed; it’s that speaking lets you capture the full context of what you’re analyzing,” said Rajiv Bhat, CEO of martini.ai. “When you’re comparing peer groups or tracking sector stress signals, you want to articulate exactly what you’re looking for without simplifying to fit a text box. Voice Typing keeps you in a flow state instead of breaking your train of thought to type.”

Voice tools have taken off because many people find it easier to speak a detailed question than type it. Credit analysts are no different. Instead of buying a separate transcription tool or breaking a complex question into pieces, they can now talk directly to martini.ai and get the full context captured in one go. It is a simple way to remove friction from credit work and get to answers faster.

martini.ai brings this same productivity unlock to credit analysis, where precision and context matter most. Analysts can now speak complete, multi-layered questions — covering company attributes, temporal patterns, peer comparisons, and risk factors — in a single natural utterance, rather than breaking complex analysis into multiple simplified text queries.

From Simple Questions to Sophisticated Comparative Analysis

With Voice Typing, professionals can dictate questions such as:

  • “Show me the latest credit rating changes for aerospace suppliers and compare their leverage trends to the sector median over the past eight quarters, highlighting any companies that diverged significantly from peer performance.”
  • “What’s driving the probability-of-default movement for Company A over the last year, and how does its trajectory compare to its three closest peers in terms of liquidity ratios, interest coverage, and recent stress signals?”
  • “Give me a sector risk comparison between retail and semiconductors, focusing on trends in working capital, debt maturity profiles, and any early warning indicators that suggest deteriorating credit quality.”

The voice input is processed instantly, allowing analysts to maintain analytical momentum without reformulating questions or switching contexts. Early adopters report the ability to explore complex credit scenarios more thoroughly because speaking eliminates the friction of typing detailed comparative queries.

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