Audience

Machine intelligence solution that helps organizations quickly explore and utilize the world’s exponentially growing sources of text-based information

About Primer

Encode your knowledge into machine learning models that can automate text-based workflows at scale with human-level quality. Build your own models from scratch, retrain our world-class models for your specific task, or use Primer models off-the-shelf. Anyone in your organization can build and train models using Primer Automate — no coding or technical skills required. Add a structured layer of intelligence on top of your data and create a scalable, self-curating knowledge base that can sift through billions of documents in seconds. Find answers to critical questions quickly, monitor updates in real time, and automatically generate easy-to-read reports. Process all of your documents, emails, PDFs, text messages, and social media to find the information that matters most. Primer Extract uses cutting-edge machine learning tools to help you explore your data quickly, and at scale. Going beyond keyword search, Extract also gives you translation, OCR, and image recognition capabilities.

Integrations

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Company Information

Primer.ai
Founded: 2015
United States
primer.ai/

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Product Details

Platforms Supported
SaaS
Training
Live Online
Support
Online

Primer Frequently Asked Questions

Q: What kinds of users and organization types does Primer work with?
Q: What languages does Primer support in their product?
Q: What type of training does Primer provide?

Primer Product Features

Artificial Intelligence

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

Natural Language Processing

Sentence Segmentation
Tokenization
Stemming/Lemmatization
Part-of-Speech Tagging
Parsing
Named Entity Recognition
Co-Reference Resolution
In-Database Text Analytics
Open Source Integrations
Natural Language Generation (NLG)

Qualitative Data Analysis

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

Text Mining

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