MeetraAI

What is MeetraAI

MeetraAI is an AI-powered platform that provides PaaS and on-premise infrastructure for analyzing human conversation and interactions. It offers API access to extract transcripts, summaries, key points, questions, and topics from any pre-recorded conversation. MeetraAI also evaluates group dynamics, including interaction density, conversational energy, conversational sentiment, and speaker balance. It can integrate seamlessly into workflows and is designed for easy implementation with no maintenance required.

Key Features of MeetraAI

- Automatic Speaker Recognition: Identifies and recognizes active speakers in conversations to provide context and accuracy.

- Full Transcripts and Summaries: Generates comprehensive transcripts and concise summaries of the conversation’s audio content, ensuring all key details are retained.

- Key Points and Questions: Extracts significant points and questions from conversations, making it easier to highlight important aspects.

- Topics and Related Keywords: Detects and lists the main topics and keywords discussed throughout the conversation, offering insightful analysis.

- Interaction Density: Measures the strength and frequency of interactions between participants for detailed analysis of team dynamics.

- Conversational Energy: Assesses the energy level in a conversation based on talk time, interactions, and emotional intensity.

- Conversational Sentiment: Analyzes the overall sentiment and emotions throughout a conversation to gauge the mood and tone.

- Speaker Balance: Evaluates the balance of participation among speakers using the MIT TeamSpeak coefficient for equitable contribution analysis.

- Energy and Interaction Fluctuations: Tracks changes in energy and interaction levels throughout the conversation, providing a dynamic view of the discussion.

- Sentiment and Emotion Fluctuations: Monitors shifts in sentiment and individual emotions during the conversation to understand emotional dynamics.

- Full Context: Extracts transcripts, summaries, key points, and questions from any pre-recorded conversation, preserving the nuances.

- Group Dynamics: Provides insights into team interactions, capturing overall sentiment, energy, interactions, and balance.

- Topic Deep Dive: Zeroes in on specific topics, identifying main contributors and assessing sentiment, energy, and interaction patterns.

- Dynamic Fluctuations: Tracks energy and sentiment fluctuations, along with interaction and emotion changes over time to map conversation trajectory.

- API Access: Offers API endpoints for retrieving various analytical data points such as speaker recognition, transcripts, summaries, key points, topics, interaction density, conversational energy, and sentiment.