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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
Rapidminer is a Siemens enterprise analytics and AI platform designed to help organizations connect fragmented data, build trusted models, and scale intelligent automation. It brings together data preparation, machine learning, knowledge graphs, generative AI, and AI agents in one portfolio. Businesses can use Rapidminer to break down data silos, unlock information trapped in documents, and add business context to analytics workflows. The platform supports users who want to modernize legacy systems while continuing to run existing SAS language programs. Rapidminer also includes visual tools for data science, allowing teams to design explainable machine learning models through drag-and-drop workflows. Its self-service data preparation features help users cleanse and transform data from PDFs, spreadsheets, databases, and cloud sources without coding. Real-time visualization and streaming analytics tools help organizations monitor fast-moving data and create interactive analytic applications. Rapidminer Graph Studio adds a semantic knowledge graph foundation that supports contextual reasoning and agentic AI. By combining automation, explainability, and enterprise-ready governance, Rapidminer helps companies turn data into stronger decisions and faster innovation.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Axon Ivy
No
Azure Marketplace
No
Datalytics
No
Facebook
Yes
Instagram
Yes
MeaningCloud
No
RapidProM
No
Rapidminer AI Studio
No
Rapidminer Knowledge Studio
No
Rapidminer Monarch
No
Integrations
Axon Ivy
Yes
Azure Marketplace
Yes
Datalytics
Yes
Facebook
No
Instagram
No
MeaningCloud
Yes
RapidProM
Yes
Rapidminer AI Studio
Yes
Rapidminer Knowledge Studio
Yes
Rapidminer Monarch
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
Yes
Free Version
Yes
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
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
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
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Canvs AI
Country
United States
Website
canvs.ai/
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/rapidminer/
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
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Mining
Data Extraction
No
Data Visualization
No
Fraud Detection
No
Linked Data Management
No
Machine Learning
No
Predictive Modeling
No
Semantic Search
No
Statistical Analysis
No
Text Mining
No
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
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