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QlooQloo, known as the "Cultural AI," excels in interpreting and predicting global consumer preferences. This privacy-centric API offers insights into worldwide consumer trends, boasting a catalog of hundreds of millions of cultural entities. By leveraging a profound understanding of consumer behavior, our API delivers personalized insights and contextualized recommendations. We tap into a diverse dataset encompassing over 575 million individuals, locations, and objects. Our innovative technology enables users to look beyond mere trends, uncovering the intricate connections that shape individual tastes in their cultural environments. The extensive library includes a wide array of entities, such as brands, music, film, fashion, and notable figures. Results are generated in mere milliseconds and can be adjusted based on factors like regional influences and current popularity. This service is ideal for companies aiming to elevate their customer experience with superior data. Additionally, our premier recommendation API tailors results by analyzing demographics, preferences, cultural entities, geolocation, and relevant metadata to ensure accuracy and relevance.
Integrations Supported
Python
Adobe Acrobat
Apache Parquet
GitHub
Google Sheets
HTML
Jupyter Notebook
JupyterLab
Markdown
Matplotlib
Integrations Supported
Python
Adobe Acrobat
Apache Parquet
GitHub
Google Sheets
HTML
Jupyter Notebook
JupyterLab
Markdown
Matplotlib
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
$20 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
eShard
Company Location
France
Company Website
eshard.com/esdynamic
Company Facts
Organization Name
MLJAR
Date Founded
2016
Company Location
Poland
Company Website
mljar.com
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization