What is Eigen?

Organizations worldwide are increasingly adopting the Eigen platform to boost their operational productivity, guide essential business decisions, and seize opportunities that were previously hidden within unstructured data found in documents. This platform is tailored to meet the data needs of diverse departments such as operations, finance, legal, risk management, compliance, and customer service. Instead of wading through numerous documents, your efforts should be directed toward making timely and informed decisions. Eigen's no-code Document AI solution requires just 2 to 50 documents to begin its training, allowing for a swift start. Users can choose to work with pre-existing question templates or customize their own to develop specific models that meet their needs. The Eigen platform is engineered to deliver impressive accuracy, even with a minimal document count, while maintaining robust data security throughout the entire process. By utilizing Eigen, you can quickly and precisely extract valuable insights from your documents, which in turn enhances your ability to manage risks and improve decision-making. This modern approach not only simplifies workflows but also revolutionizes the manner in which teams engage with data, fostering a more efficient and informed environment. Moreover, as organizations navigate the complexities of data analysis, the Eigen platform stands out as a key asset in driving innovation and responsiveness in an ever-evolving business landscape.

Integrations

Screenshots and Video

Eigen Screenshot 1

Company Facts

Company Name:
Eigen
Date Founded:
2015
Company Location:
United States
Company Website:
eigentech.com

Product Details

Deployment
SaaS
Training Options
Online Training
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Eigen Categories and Features

Natural Language Processing Software

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

More Eigen Categories