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Description
Harnessing cutting-edge open-source AutoML technology, we facilitate the creation of high-quality models effortlessly. This system incorporates Deep Learning and pre-trained models to enhance intelligence wherever relevant. By employing Causal AI alongside AutoML, it ensures fairness, supports causal inference, and provides counterfactual predictions. Each trained model can be deployed instantly for interactive online use or through an API, making it accessible to all users. Additionally, it offers comprehensive insights into feature importances and model explanations through Shapley values. Our AI engine operates entirely on an open-source framework, allowing for complete transparency and universal applicability of our algorithms. It effectively groups customers or products into similar cohorts based on an extensive array of features. Furthermore, it predicts future outcomes by identifying temporal patterns in historical data and is capable of training predictive models using labeled data to make predictions on unlabeled datasets, thereby enhancing its overall utility and performance.
Description
Leverage advanced machine learning techniques for thorough text analysis that can extract, interpret, and securely store textual data. With AutoML, you can create top-tier custom machine learning models effortlessly, without writing any code. Implement natural language understanding through the Natural Language API to enhance your applications. Utilize entity analysis to pinpoint and categorize various fields in documents, such as emails, chats, and social media interactions, followed by sentiment analysis to gauge customer feedback and derive actionable insights for product improvements and user experience. The Natural Language API, combined with speech-to-text capabilities, can also provide valuable insights from audio sources. Additionally, the Vision API enhances your capabilities with optical character recognition (OCR) for digitizing scanned documents. The Translation API further enables sentiment understanding across diverse languages. With custom entity extraction, you can identify specialized entities within your documents that may not be recognized by standard models, saving both time and resources on manual processing. Ultimately, you can train your own high-quality machine learning models to effectively classify, extract, and assess sentiment, making your analysis more targeted and efficient. This comprehensive approach ensures a robust understanding of textual and audio data, empowering businesses with deeper insights.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Gemini
No
Gemini 1.5 Flash
No
Gemini 1.5 Pro
No
Gemini 2.0
No
Gemini 2.0 Flash
No
Gemini Enterprise
No
Gemini Enterprise Agent Platform
No
Gemini Nano
No
Gemini Pro
No
Google AI Plus
No
Integrations
Gemini
Yes
Gemini 1.5 Flash
Yes
Gemini 1.5 Pro
Yes
Gemini 2.0
Yes
Gemini 2.0 Flash
Yes
Gemini Enterprise
Yes
Gemini Enterprise Agent Platform
Yes
Gemini Nano
Yes
Gemini Pro
Yes
Google AI Plus
Yes
Pricing Details
$80 per user per month
Free Trial
No
Free Version
Yes
Pricing Details
New customers get up to $300 in free credits to try Google Cloud products
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Actable AI
Founded
2020
Country
United Kingdom
Website
www.actable.ai/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/natural-language
Product Features
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
No
Predictive Analytics
Yes
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Product Features
Data Extraction
Disparate Data Collection
Yes
Document Extraction
Yes
Email Address Extraction
Yes
IP Address Extraction
Yes
Image Extraction
Yes
Phone Number Extraction
Yes
Pricing Extraction
Yes
Web Data Extraction
Yes
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
Yes
Visualization
Yes
Natural Language Generation
Business Intelligence
Yes
CRM Data Analysis and Reports
Yes
Chatbot
Yes
Email Marketing
Yes
Financial Reporting
Yes
Multiple Language Support
Yes
SEO
Yes
Web Content
Yes
Natural Language Processing
Co-Reference Resolution
Yes
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
Yes
Open Source Integrations
Yes
Parsing
Yes
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
Yes
Tokenization
Yes
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
Yes
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
Yes
Statistical Analysis
No
Text Analytics
Yes
User Research Analysis
No
Text Mining
Boolean Queries
Yes
Document Filtering
Yes
Graphical Data Presentation
Yes
Language Detection
Yes
Predictive Modeling
Yes
Sentiment Analysis
Yes
Summarization
Yes
Tagging
Yes
Taxonomy Classification
Yes
Text Analysis
Yes
Topic Clustering
Yes
