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What is Perigon?

Daily, we aggregate 20 million data inputs from an extensive network of 143,382 sources, delivering insightful signals across a multitude of topics. Developers turn to Perigon for data that is not only contextually rich but also continuously updated. Enhance your applications with the latest news and information available. Our real-time feed supplies a dynamic flow of digital content, where articles are smartly organized and structured to create cohesive narrative clusters. Users can easily search for top stories on any topic or explore story metrics related to a wide array of articles. Utilizing advanced technology, our platform harnesses artificial intelligence to highlight relevant information amidst the noise. Our innovative classifiers adeptly distinguish between hard news, soft news, opinions, and even gossip. Additionally, Perigon accurately pinpoints the geographical locations of events, down to specific longitude and latitude. Each article is distilled into brief summaries that emphasize its key points, allowing users to quickly comprehend the essential information. This streamlined approach not only keeps users informed but also equips them to make well-informed decisions based on the most current events and trends. Ultimately, we strive to make information more accessible and relevant to everyone.

What is DAVinCI LABS?

In the process of selecting a target for prediction, a sophisticated algorithm discerns patterns within the dataset to construct a forecasting model. By identifying a variable that acts as a basis for decision-making, it systematically organizes clusters that display significant trends and defines the characteristics of each cluster through established rules. Furthermore, if the features of the data change over time, it can project future target values by analyzing trends associated with the time variable. Even when the characteristics of the data are not explicitly stated, the algorithm skillfully categorizes clusters with distinct behaviors, which can aid in identifying outliers in new datasets or offer novel insights. In our company's method for identifying marketing targets, we consider variables such as gender, age, and mortgage status; however, it may be advantageous to investigate additional factors that could improve our predictive performance. By incorporating elements like income level, education, and geographic location, we could further enhance our targeting strategy and ensure that our marketing efforts are more effectively aligned with potential customers' needs. This comprehensive approach to data analysis could ultimately lead to better decision-making and increased success in our campaigns.

Media

Media

Integrations Supported

JSON

Integrations Supported

Motion Array

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Perigon

Date Founded

2022

Company Location

United States

Company Website

www.goperigon.com

Company Facts

Organization Name

AILYS

Company Location

South Korea

Company Website

davincilabs.ai

Categories and Features

Categories and Features

Artificial Intelligence

Machine Learning
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Business Intelligence

Data Analysis
Predictive Analytics
Visual Analytics

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