What is Canvs AI?
Canvs AI is a sophisticated insights platform designed to analyze and extract meaningful insights from unstructured text data. The platform features Asa, an AI-powered assistant that helps users work more efficiently and uncover deeper insights from various text sources including surveys, reviews, transcripts, and social media content.
The platform combines emotional intelligence with advanced text analytics to go beyond basic sentiment analysis, identifying over 100,000 distinct emotions and patterns in consumer feedback. With capabilities spanning from survey analysis to brand health monitoring, Canvs AI enables organizations to transform raw feedback into actionable insights while significantly reducing analysis time.
Features
- AI-Powered Analysis: Automated processing of unstructured text data
- Emotion Recognition: Identifies and quantifies over 100,000 distinct emotions
- Multi-Source Integration: Analyzes data from surveys, transcripts, reviews, and social media
- Story Assist: AI-driven insight generation and recommendation system
- Verification Tools: Transparent AI analysis with result verification capabilities
Use Cases
- Product and service innovation research
- Brand health monitoring
- Customer experience management
- Content development and optimization
- Employee engagement analysis
- Survey open-ends analysis
- Focus group transcript analysis
- Social media sentiment analysis
FAQs
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What types of data sources can Canvs AI analyze?
Canvs AI can analyze multiple data sources including survey open-ends, transcripts, community feedback, customer reviews, and social media content. -
How accurate is the emotion recognition system?
The platform has identified and quantified over 100,000 emotions across more than 105 million verbatims, with built-in verification tools to ensure accuracy. -
What kind of support is included with the service?
Canvs AI offers customer success management, onboarding, training, and dedicated CSM support depending on the subscription level.
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Canvs AI Uptime Monitor
Average Uptime
99.86%
Average Response Time
312.87 ms
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