Audience

Enterprises and companies looking for a knowledge process automation software solution for their data analysis needs

About DeepSee

Putting humans back in charge of the automation. DeepSee empowers knowledge workers with AI techniques to turn data into powerful business assets. Solving real problems for real people. Knowledge is power, and equipping subject-matter experts with the right tools to sift through all the noise has never been more critical to business success. DeepSee created the Knowledge Process Automation (KPA) platform to mine unstructured data, operationalize AI-powered insights, and automate results into real-time action for the enterprise. We’re putting deep knowledge and the power of AI back into human hands. For enterprises across every major business sector, driving strong performance isn’t just about tracking KPIs. Today, competitive advantage is fueled by understanding trends, predictions, and outliers. The DeepSee platform extracts, processes, and transforms untapped data into these key competitive insights in real time — eliminating complexities between analysis and action.

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Company Information

DeepSee
Founded: 2019
United States
deepsee.ai/

Videos and Screen Captures

DeepSee Screenshot 1
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Product Details

Platforms Supported
SaaS
Training
Documentation
Live Online
Support
Online

DeepSee Frequently Asked Questions

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

DeepSee 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

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

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