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The Voice AI industry is experiencing rapid growth, driven by advancements in natural language processing and increasing demand for automated customer service and efficiency tools. It's becoming indispensable in contact centers for enhanced agent productivity and customer experience, while also expanding into general business communication for improved meeting intelligence and clarity. Security and compliance remain critical focuses for enterprise adoption.
Total Assets Under Management (AUM)
Global Contact Center Software Market Size in United States
~The US Contact Center Software market size was valued at 10.32 billion USD in 2022.
(23.4% CAGR)
- Cloud-based solutions adoption is rapidly increasing.
- AI and automation integration drives efficiency.
- Enhanced customer experience is a key focus.
41.69 billion USD
Advancements in Generative AI allow for more sophisticated understanding, summarization, and even proactive response generation in real-time conversations, moving beyond mere transcription to true conversational intelligence.
This technology enables AI models to be trained on decentralized datasets at the edge (e.g., on individual devices or secure enclaves) without directly sharing raw data, significantly enhancing data privacy and security.
AI systems capable of detecting and analyzing emotional cues and sentiment from voice patterns and spoken language, providing deeper insights into customer and agent states for improved interaction management.
Though not yet enacted, the proposed ADPPA aims to create a comprehensive federal data privacy law in the US, establishing consumer rights regarding data collection, use, and sharing, and requiring companies to implement reasonable data security practices.
This policy, if enacted, would standardize data privacy requirements across the US, potentially simplifying Krisp's compliance efforts while necessitating rigorous adherence to new data handling and security protocols.
Released by the White House, this framework outlines five principles for the design, use, and deployment of automated systems, emphasizing safe and effective systems, algorithmic discrimination protections, data privacy, notice and explanation, and human alternatives/fallback.
While not legally binding, this framework guides responsible AI development, pushing Krisp to ensure its AI Meeting Assistant and call center solutions are fair, transparent, and protect user data and rights.
The FTC continues to scrutinize the use of AI, focusing on deceptive claims about AI capabilities, bias, and unfair or deceptive practices related to AI-powered products and services.
FTC enforcement actions mean Krisp must be transparent about its AI's capabilities, guard against algorithmic bias, and ensure its AI solutions do not lead to unfair outcomes for customers or agents.
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