Mova.AI provides an advanced conversational intelligence platform that analyzes complex and emotive customer interactions across multiple channels. The platform uses various AI techniques, including LLMs and intent detection, to deliver precise insights into agent performance and customer sentiment. It offers automated coaching, compliance scoring, and actionable dashboards to improve agent quality and drive revenue outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle to extract actionable insights from the vast amounts of data generated by customer interactions across various channels. Manual analysis of these conversations is time-consuming, prone to human error, and fails to capture the nuances that drive customer behavior and business outcomes. This makes it difficult to optimize agent performance, ensure compliance, and identify hidden sales opportunities.
Solution
Mova AI provides a conversation intelligence platform that leverages large language models and other AI techniques to analyze customer interactions across calls, emails, texts, and chat. The platform ingests data from multiple sources, extracts key insights, and presents them in dynamic dashboards, summaries, and reports. Mova AI enables businesses to understand the drivers behind successful conversions, customer satisfaction, and agent performance, allowing them to improve agent training, proactively manage compliance risks, uncover hidden revenue opportunities, and perform root cause analysis of customer issues. The platform offers a suite of AI-driven tools, including a call analyzer, collection explorer, exception reporting, AI search, and topic navigator, to turn complex questions about customer conversations into actionable data.
Target Audience
Mova AI targets enterprises in industries such as mortgage, banking, and healthcare that want to improve agent performance, reduce risk, and find hidden value in customer conversations.
Features
- Omnichannel analysis: Ingests customer conversations from audio recordings, text, support messages, and emails.
- Large Language Models: Analyzes the whole conversation where the models understand context.
- Intent-Detection: Finds similar meanings across calls, without needing to program all possible cases.
- Advanced Topic Modeling: Understands both sides of the call without knowing what to ask.
- Dynamic dashboards: Reveals trends across teams, agents, and customer groups.
- Call Analyzer: Extracts detailed insights about every conversation.
- Collection Explorer: Autonomously investigates calls to identify issues like declining agent conversion quality or at-risk customers.
- Exception Reporting: Automatically generates detailed analyses of problematic calls.
- AI Search: Searches across millions of calls in seconds using semantic search.
- Topic Navigator: Identifies emerging topics across all calls.
- API Platform: Integrates with call centers, CRMs, and other business systems.
- SOC2 Type II Certification