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What is Pienso?

Creating a topic model from scratch demands advanced programming expertise, which can be both costly and may overshadow the critical comprehension of the underlying data. This technical knowledge often detracts from the fundamental insights that data can provide. The manual process of labeling training data is not only painstaking and labor-intensive but also incurs significant costs. While outsourcing this labeling task to lower-wage workers may speed up the process and lower expenses, it frequently compromises the quality and detail of the results. Each of these approaches leads to a static classification system that can be difficult to modify over time. It is essential to move beyond simple tagging and empower subject matter experts to actively engage with their data to facilitate modeling and analysis. With an abundance of text data available, rich with insights waiting to be uncovered, the necessity for robust tools becomes increasingly evident. Pienso offers a solution to this problem by allowing you to train models using your own data, acknowledging that this personalized method produces the most effective outcomes. Regardless of the nature of your data, whether it is unstructured, semi-structured, lengthy, or concise, Pienso is designed to help you convert it into actionable insights that can inform strategic decision-making. By utilizing Pienso, you have the opportunity to fully harness the capabilities of your data while avoiding the conventional challenges commonly associated with topic modeling. This innovative approach not only simplifies the process but also enhances the overall quality of insights derived from your data.

What is Intellexer API?

For more than ten years, EffectiveSoft has focused on developing software for education and knowledge management. We provide customized solutions that span mobile and desktop applications, as well as extensive enterprise software, all built using our proprietary technology. Our committed research and development team is dedicated to enhancing document management functionalities. At present, we possess the capability to extract essential knowledge from our clients' corporate systems, enabling us to create solutions that augment their intellectual assets. This wealth of experience has been distilled into our unique software platform, Intellexerâ„¢, an advanced natural language processing system designed to handle a variety of document formats. Acknowledging the complexities involved in working with corporate clients, we effectively utilize the Intellexer SDK or an online API to integrate our tools with existing corporate infrastructures when the development of bespoke knowledge management software is impractical. This strategy allows our clients to make the most of their current systems while significantly improving their operational efficiency. Additionally, our focus on innovation ensures that we stay at the forefront of technology, continually offering valuable enhancements to our clients.

Media

Media

Integrations Supported

Quickwork

Integrations Supported

Quickwork

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$90.00/month
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

Pienso

Date Founded

2016

Company Location

United States

Company Website

www.pienso.com

Company Facts

Organization Name

EffectiveSoft

Date Founded

2001

Company Location

United States

Company Website

www.effectivesoft.com

Categories and Features

Deep Learning

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

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

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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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