Audience

Business Analysts & Data Science Teams

About Accern

The Accern No-Code NLP Platform empowers domain experts and business analysts to extract the most accurate insights from massive streams of unstructured data–including news, social media, industry reports and internal documents—within minutes. Accern offers pre-built AI/ML/NLP solutions to minimize time to value and maximize ROI for equity research, credit risk, M&A activity, ESG performance, insurance claims, fraud prevention, sanctions monitoring and more.

Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end AI/ML/NLP workflows with BYO datasets, taxonomies, models and pre-integrated dashboards and DSML platforms. In production at companies like Allianz, William Blair and Mizuho Bank, Accern accelerates innovation by enhancing existing models and enriching BI dashboards.

Pricing

Pricing Details:
Pricing is primarily consumption-based.

Integrations

API:
Yes, Accern offers API access

Ratings/Reviews

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Company Information

Accern
Founded: 2014
United States
accern.com

Videos and Screen Captures

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Product Details

Platforms Supported
SaaS
Training
Documentation
Support
Online

Accern Frequently Asked Questions

Q: What kinds of users and organization types does Accern work with?
Q: What languages does Accern support in their product?
Q: What other applications or services does Accern integrate with?
Q: Does Accern have an API?
Q: What type of training does Accern provide?

Accern Product Features

Artificial Intelligence

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

Data Extraction

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

Machine Learning

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

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)