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Catherine Tribnick

Managing Director and Senior Research Analyst at Rosenblatt Securities

Catharine Trebnick is a Managing Director and Senior Research Analyst at Rosenblatt Securities, specializing in cloud communications, cybersecurity, and infrastructure software. She covers an extensive portfolio of technology-focused companies, including RingCentral and over 45 other firms, achieving a 54.29% success rate and an average return of 3.3% per TipRanks, alongside high peer ratings on other platforms. Trebnick joined Rosenblatt in March 2023, after holding leadership and analyst roles at Roth Capital Partners, Colliers Securities, Avian Securities, and ThinkEquity Partners, and has prior executive experience at Lucent Technologies, Time Warner Telecom, and ICG Communications. She holds a BS in Chemistry from the University of Maryland and an MBA from the University of Chicago Booth School of Business, and is recognized for her expertise in technology sector research and contributions to financial media.

Catherine Tribnick's questions to NICE (NICE) leadership

Question · Q3 2025

Catherine Tribnick asked about competition from direct real-time voice APIs (like OpenAI) for Cognigy customers, given their use of speech-to-text to LLM and back-to-speech.

Answer

CEO Scott Russell stated that LLM providers are seen as partners, not competitors. Russell emphasized that while simple bots are easy to create, delivering superior, contextual, and compliant AI agents for enterprise CX requires a complete platform like Cognigy, which leverages LLMs but adds critical domain-specific intelligence, guardrails, and integration with legacy systems.

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Question · Q3 2025

Catherine Tribnick asked if NICE is seeing competition from direct real-time voice APIs released by OpenAI and other LLM providers, given Cognigy's use of speech-to-text to LLM and back-to-speech.

Answer

CEO Scott Russell stated that LLM providers are seen as partners, not competitors. He explained that while anyone can create a basic bot, delivering superior, enterprise-grade AI agents requires a complete platform like Cognigy, which provides contextual, CX-specific AI built on rich interaction data, guardrails, regulations, and integration with legacy systems. He noted that initial attempts by customers to build solutions on general LLMs often lead them back to NICE for a comprehensive platform.

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