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What is TrainingCheck.com?

TrainingCheck was created by an adept team of experts in learning, development, and assessment as part of a comprehensive project involving numerous employers and training organizations. Our objective was to design an online training evaluation tool that would be both theoretically robust and easy to navigate. Feedback from participating companies highlighted the importance of incorporating existing content to facilitate their evaluation of training effectiveness across various dimensions, including participant satisfaction and business impact. Additionally, they expressed a strong desire for the capability to tailor and adjust their own content to meet individual needs. Launched in the summer of 2011, TrainingCheck rapidly attracted a significant user base, exceeding 1000 users in just the first year. Since that successful launch, we have consistently expanded our reach and remain focused on improving our features, services, and overall user experience. This ongoing commitment to adapting to our users' changing demands fuels our continuous development efforts, ensuring we stay ahead in the industry. Our dedication to providing valuable solutions remains at the forefront of our mission.

What is Symbolica?

Existing machine learning models are expensive to develop, complex to deploy, difficult to validate, and often produce misleading outputs. At Symbolica, we are fundamentally rethinking the machine learning paradigm. By utilizing the powerful framework of category theory, we design models capable of understanding and learning algebraic structures. This innovative strategy enables our models to possess a thorough and systematic worldview that is both explainable and subject to verification. We aim to empower both developers and end users to understand and communicate the rationale behind model outputs. Achieving this level of interpretability and control—such as the flexibility to exclude proprietary information from training datasets—is vital for applications that are crucial to achieving mission objectives. Furthermore, we are confident that improving transparency in the decision-making processes of models will enhance trust and collaboration between human users and artificial intelligence systems, ultimately leading to more effective partnerships. This commitment to clarity not only benefits users but also strengthens the overall integrity of machine learning applications.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$30 per user per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

TrainingCheck

Date Founded

2010

Company Location

United Kingdom

Company Website

www.TrainingCheck.com

Company Facts

Organization Name

Symbolica

Company Website

www.symbolica.ai

Categories and Features

Survey

Custom Survey URLs
Data Analysis Tools
Email Marketing
Mobile Survey
Offline Response Collection
Paper Survey
Question Branching
Question Library
Site Intercept Survey
Skip Logic
Supports Audio / Images / Video

Training

Academic / Education
Asynchronous Learning
Blended Learning
Built-In Course Authoring
Built-in LMS
Certification Management
Corporate / Business
Learner Portal
Mobile Learning
Simulation
Synchronous Learning
Training Companies
eCommerce

Categories and Features

Artificial Intelligence

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

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