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What is Conversus.AI?

Take control of your analytics with the leading Machine Learning-as-a-Service platform specifically designed for analyzing unstructured social media content and voice-of-customer text. Our team of experts is ready to help you develop advanced, customized social models that effectively leverage, deploy, generalize, and capitalize on your data. It is essential to align your social listening initiatives with top-notch AI strategies that prioritize transparency, accuracy, and fairness in every aspect. Whether you are new to social listening or seeking to optimize your current solutions, our highly skilled professionals are available to guide you throughout the process. You have valuable data at your disposal, and it's time to extract critical insights from it. We provide a wide range of leading programmatic insight solutions driven by our state-of-the-art AI classifiers, allowing you to select from a vast library of prebuilt machine learning models tailored to various sectors for quick implementation. It is vital to ensure that your models are free from unintended bias or inaccuracies. Before deploying any model, gain a thorough understanding of its performance to guarantee that your analytics are trustworthy and impactful. Our mission is to empower you to make well-informed decisions that lead to significant outcomes. By utilizing our services, you can transform your data into actionable insights that can drive your business forward.

What is Cauliflower?

Cauliflower is capable of processing feedback and comments related to all kinds of services or products. Utilizing Artificial Intelligence (AI), Cauliflower identifies key topics, assesses their significance, and establishes connections between them. It employs proprietary machine learning models designed to extract relevant content and gauge sentiment accurately. The platform features user-friendly dashboards equipped with filtering options and the ability to drill down into specific data points. Users can utilize various parameters to specify language, weight, ID, and timeframes. Additionally, custom filter variables can be defined from a dropdown menu. If needed, Cauliflower can translate its findings into a standardized language to ensure consistency. By adopting a company-wide language, businesses can move beyond sporadic readings of customer feedback and avoid simply quoting isolated opinions, thus fostering a more cohesive understanding of customer sentiment. This approach ultimately enhances strategic decision-making and improves overall customer engagement.

Media

Media

Integrations Supported

Amazon
Brandwatch
Google Business Profile
Google Play
Tripadvisor
Trustpilot
Yelp

Integrations Supported

Amazon
Brandwatch
Google Business Profile
Google Play
Tripadvisor
Trustpilot
Yelp

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Converseon

Date Founded

2001

Company Location

United States

Company Website

converseon.com

Company Facts

Organization Name

Cauliflower

Date Founded

2019

Company Location

Germany

Company Website

www.cauliflower.ai/

Categories and Features

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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