Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Our advanced systems intelligently collect diverse, high-quality unstructured data from numerous sources, encompassing text, audio, images, and video formats. This data is meticulously cleaned and utilized to extract valuable insights related to various products, services, attributes, brands, customer sentiments, market dynamics, and emerging trends. Leveraging our proprietary Deep Product Learning ® technology, this information is effectively synthesized and contextualized. You can utilize our enterprise-grade integrations to seamlessly incorporate your private data. Furthermore, evaluate and compare your perspective on your products and services against the competitive landscape. The platform enables powerful, AI-driven actions where you need them—through dashboards, APIs, and integrations—transforming insights into actionable strategies across PIMs, CRMs, voice assistants, chatbots, and beyond, ultimately enhancing your business decision-making processes. In doing so, your organization can stay ahead of the competition and adapt to the ever-changing market demands.
Description
Developing a topic model from the ground up requires a high level of programming skill. This specialized knowledge can be costly and often overshadows the essential understanding of the data itself. The process of manually labeling your training data is not only time-consuming but also labor-intensive and expensive. Outsourcing this task to low-wage workers may expedite the process and reduce costs, yet it often sacrifices both accuracy and detail. Each of these methods results in a static taxonomy that can be challenging to adapt over time. It's crucial to transition away from mere tagging and empower subject matter experts to engage with their data for modeling and analysis. With vast amounts of text data at your disposal, brimming with insights ready for exploration, the need for effective tools becomes clear. Pienso is here to assist with this challenge by enabling you to train models using your own data, as we recognize that this approach yields the best results. Regardless of whether your data is unstructured, semi-structured, lengthy, or concise, Pienso is equipped to help you transform it into valuable insights that can drive decision-making. By leveraging Pienso, you can unlock the full potential of your data without the traditional hurdles associated with topic modeling.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Alexa
Yes
AskNicely
Yes
Delighted
Yes
Google Sheets
Yes
HubSpot CRM
Yes
HubSpot Customer Platform
Yes
Instagram
Yes
Intercom
Yes
Jira
Yes
Looker
Yes
Integrations
Alexa
No
AskNicely
No
Delighted
No
Google Sheets
No
HubSpot CRM
No
HubSpot Customer Platform
No
Instagram
No
Intercom
No
Jira
No
Looker
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
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
Yes
Live Rep (24/7)
No
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
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Commerce.AI
Founded
2016
Country
United States
Website
www.commerce.ai/
Vendor Details
Company Name
Pienso
Founded
2016
Country
United States
Website
www.pienso.com
Product Features
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
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
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
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