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Description
Canvs AI is an insight platform that transforms open-ended texts from surveys, social media and transcripts into conversational intelligence. It can also be used to analyze product reviews and other information such as product reviews and product reviews. Canvs is used worldwide by some of the most respected brands, research agencies, media and entertainment companies to speed up time-to-insights and deepen understanding of audience. It also reduces the cost of analysis. Automate the analysis and interpretation of open-ended text to quickly uncover consumer insights with deep emotional context and high analytical confidence. Canvs' intuitive and easy-to-use insights portal allows you to quickly explore, filter and compare your findings. You can also generate stunning data visualizations. Automate the coding of attribute, recall, and awareness questions. Quickly identify and categorize sentiments and emotions associated with respondents and responses.
Description
Previously, our method for examining qualitative data was highly labor-intensive and consumed a significant amount of time. Now, thanks to their AI technology, we can effortlessly pinpoint critical insights. We move past simple sentiment analysis by providing a comprehensive weekly report that highlights the most significant compliments, complaints, questions, and requests, organized by volume and urgency. Each identified theme not only tracks fluctuations over time but also includes a detailed summary, urgency score, relevant product sub-themes, user profiles, and additional insights. This versatile tool can be applied to various sources, such as sales call transcripts, customer support inquiries, market research, employee feedback, and beyond. Our platform accommodates unlimited users and integrations at every pricing level, ensuring accessibility for companies of all sizes. To get started, you only need a minimum of 500 data points. Each report section delivers insights about the individuals engaging in those discussions, ensuring a tailored approach. The AI leverages customer attributes and metadata to perform in-depth analyses and offer recommendations based on elements like NPS scores, customer classifications, geographical regions, and more, mirroring the analytical capabilities of a human expert. Ultimately, this transformation not only streamlines our processes but also enriches our understanding of customer feedback in a way that was previously unattainable.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Delighted
No
Facebook
Yes
Front
No
GPT-4
No
Instagram
Yes
Intercom
No
Nekton.ai
No
Pendo
No
Salesforce
No
SurveyMonkey
No
Integrations
Delighted
Yes
Facebook
No
Front
Yes
GPT-4
Yes
Instagram
No
Intercom
Yes
Nekton.ai
Yes
Pendo
Yes
Salesforce
Yes
SurveyMonkey
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$600 per month
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Canvs AI
Country
United States
Website
canvs.ai/
Vendor Details
Company Name
Viable
Founded
2020
Country
United States
Website
www.askviable.com
Product Features
Customer Engagement
Analytics
No
Churn Management
No
Communication Management
No
Community Management
No
Content Syndication
No
Feedback Collection
No
Gamification
No
Live Chat
No
Video Content
No
Customer Experience
Action Management
No
Analytics
No
Customer Segmentation
No
Dashboard
No
Feedback Management
No
Knowledge Management
No
Multi-Channel Collection
No
Sentiment Analysis
No
Survey Management
No
Text Analysis
No
Trend Analysis
No
Customer Feedback
Alerts / Notifications
No
Behavior Analytics
No
Bug Reports
No
Community Feedback Tools
No
Live Chat
No
Negative Feedback Management
No
Net Promoter Score (NPS)
No
Screenshot / Screen Capture
No
Surveys
No
User Testing Tools
No
Video Feedback
No
Visual Feedback Tools
No
Voice of the Customer (VoC)
No
Website Feedback
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No
Survey
Custom Survey URLs
No
Data Analysis Tools
No
Email Marketing
No
Mobile Survey
No
Offline Response Collection
No
Paper Survey
No
Question Branching
No
Question Library
No
Site Intercept Survey
No
Skip Logic
No
Supports Audio / Images / Video
No
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No
