About
VoiceBase is an enterprise-grade speech analytics and AI transcription platform that transforms voice conversations into actionable business intelligence. Originally built to help contact centers mine their call recordings for insights, VoiceBase leverages advanced natural language processing and machine learning to deliver accurate transcription, keyword spotting, sentiment analysis, and predictive analytics from audio data. Now operating under LivePerson's Conversational AI platform, VoiceBase's capabilities are integrated into a broader suite that includes AI chatbot tooling, conversational intelligence, and agent performance evaluation. Businesses can orchestrate AI and human agents across every channel, bringing their own LLMs without ripping and replacing existing infrastructure. Key use cases include contact center quality assurance, compliance monitoring, customer sentiment tracking, and sales coaching. Industries served include financial services, retail, healthcare, telecommunications, and automotive. The platform supports rapid deployment, open integration via API, and enterprise-level security and scalability. VoiceBase is built for CX leaders who need predictable AI outcomes — helping brands move customer experience from a cost center to a revenue driver by surfacing insights that improve agent performance, reduce churn, and personalize engagement at scale.
Key Features
- AI Transcription: Accurately transcribes voice calls and audio recordings at scale using advanced speech recognition models.
- Speech Analytics: Identifies trends, keywords, sentiment, and patterns across thousands of conversations to surface actionable insights.
- Agent Performance Evaluation: Evaluates AI and live agent performance continuously to ensure customer-ready interactions via tools like Syntrix.
- Conversational Intelligence: Drives improved customer engagement by turning conversation data into optimization strategies for CX teams.
- Open Integration via API: Connects with existing contact center infrastructure, CRMs, and LLMs without requiring full platform replacement.
Use Cases
- Contact center quality assurance by automatically reviewing and scoring agent calls for compliance and performance.
- Customer sentiment analysis across thousands of voice interactions to identify dissatisfaction trends and churn risks.
- Sales coaching by identifying successful conversation patterns and replicating them across the sales team.
- Regulatory compliance monitoring in financial services and healthcare by flagging sensitive keywords in recorded calls.
- Voice-to-digital transformation, helping enterprises modernize legacy CCaaS systems with AI-driven conversational intelligence.
Pros
- Enterprise-Grade Scalability: Built to handle millions of conversations daily, making it suitable for large contact centers and global brands.
- Deep Conversational Insights: Goes beyond transcription to deliver sentiment analysis, keyword spotting, and predictive customer engagement signals.
- Bring Your Own LLM: Supports open integration so enterprises can leverage their existing AI models without costly migrations.
Cons
- Enterprise-Focused Pricing: Primarily designed for large enterprises, making it cost-prohibitive for small businesses or individual users.
- Complexity of Setup: Full platform deployment may require professional services engagement and technical expertise to configure correctly.
Frequently Asked Questions
VoiceBase is used for AI-powered speech analytics, transcription, and conversational intelligence — primarily in contact centers and enterprise customer experience operations.
VoiceBase was acquired by LivePerson and its capabilities are now integrated into the LivePerson Conversational AI platform, accessible at voicebase.com.
VoiceBase serves financial services, retail, healthcare, telecommunications, automotive, and travel & hospitality industries.
Yes, VoiceBase provides API access allowing developers and enterprises to integrate speech analytics and transcription capabilities into their own workflows and platforms.
Yes, through LivePerson's open platform architecture, users can bring their own LLMs and integrate them without replacing their existing infrastructure.
