Graphlogic GL Platform

Graphlogic GL Platform

Graphlogic
4.8 out of 5 stars
Graphlogic GL Platform R Systems

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Graphlogic GL Platform:

About

Graphlogic Conversational AI Platform consists on: Robotic Process Automation (RPA) and Conversational AI for enterprises, leveraging state-of-the-art Natural Language Understanding (NLU) technology to create advanced chatbots, voicebots, Automatic Speech Recognition (ASR), Text-to-Speech (TTS) solutions, and Retrieval Augmented Generation (RAG) pipelines with Large Language Models (LLMs). Key components: - Conversational AI Platform - Natural Language understanding - Retrieval augmented generation or RAG pipeline - Speech-to-Text Engine - Text-to-Speech Engine - Channels connectivity - API builder - Visual Flow Builder - Pro-active outreach conversations - Conversational Analytics - Deploy everywhere (SaaS / Private Cloud / On-Premises) - Single-tenancy / multi-tenancy - Multiple language AI
R Systems:

About

R Systems’ aim is to enable organizations to not only identify hindrances in the customer journey but also mitigate them to improve loyalty & long-term profitability by harnessing the power of AI, data analytics, Natural Language Processing (NLP) & Deep Neural Networks (DNN). Understanding the essence of customer experience helps you augment the way people respond to your brand in terms of engagement, loyalty, and retention. Organizations need accurate data and metrics to discern, gather, and analyze customer data for gaining actionable insights and making educated decisions to retain and acquire customers. Our data analytics framework will help you improve First Contact Resolution (FCR), reduce customer effort, optimize self-service options, and handle seasonal spikes in demand. With R Systems on your side, your customer experience will get better with every single interaction. Our services enable you to gather data from customer interactions to gain insights into behavior.
Graphlogic GL Platform:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Supported
R Systems:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Graphlogic GL Platform:

Audience

Contact center, BFSI, eCommerce, HealthCare, Logistics, Telecommunications
R Systems:

Audience

Businesses and companies searching for an analytics AI-driven solution to enhance customer experience
Graphlogic GL Platform:

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported
R Systems:

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported
Graphlogic GL Platform:

API

Offers API Not Supported
R Systems:

API

Offers API Supported
Graphlogic GL Platform:

Screenshots and Videos

R Systems:

Screenshots and Videos

Graphlogic GL Platform:

Pricing

$75/1250 MAU/month
Cloud version pricing is per MAU or per 1 Min
On-Premises version is
Free Version Not Supported
Free Trial Supported
R Systems:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Graphlogic GL Platform:

Reviews/Ratings

Overall 4.8 / 5
ease 4.8 / 5
features 4.2 / 5
design 4.2 / 5
support 4.5 / 5
R Systems:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
Graphlogic GL Platform:

Pros & Cons from Real Users

Pros

  • The platform is quite intuitive and easy to use, even for someone without a technical background, while also being pretty fairly priced
  • Easy to use; Nice and neat interface; It handles the repetitive tasks, so I don't have to anymore; Works as database where I can get my answers - job related.
  • Good pricing, possibility to create bots using Figma and Miro like approach. It is one of the better chatbot and voice bots solutions out there.
  • Firstly, such a platform enhances user experience by providing seamless interactions. With RAG, the AI can generate responses dynamically, adapting to user inputs in real-time. This ensures that conversations feel natural and engaging, fostering better user engagement and satisfaction. Secondly, the integration of LLM enables the AI to comprehend and respond to a wide range of queries and contexts. Whether it's answering complex questions, providing personalized recommendations, or understanding colloquial language, LLM-equipped AI can handle diverse conversational scenarios effectively, making the interaction more meaningful for users. Furthermore, the flexibility of the platform allows for easy customization to suit specific business needs and industry requirements. Organizations can tailor the AI's responses, tone, and functionality to align with their brand identity and objectives. This adaptability ensures that the AI seamlessly integrates into existing workflows and delivers value across different use cases, from customer support to sales assistance.

Cons

  • UI design could be a bit better, as it feels...bland
  • I'd like to see some customised features that are important for my type of work.
  • UX design could be a bit better as it is outdated a bit....
  • While a flexible conversational AI platform with capabilities like Response Automation Generation (RAG) and Large Language Models (LLM) offers significant advantages, there are also some potential drawbacks to consider. One challenge is the risk of over-reliance on AI-driven interactions, which can lead to a loss of human touch. Despite advancements in natural language processing, AI may struggle to fully understand nuanced or emotionally charged conversations, potentially resulting in frustration or dissatisfaction for users seeking empathy or complex problem-solving. Furthermore, maintaining the quality and relevance of AI-generated responses can be a concern. Without proper oversight and management, there's a risk of the AI providing inaccurate or inappropriate answers, damaging the user experience and eroding trust in the platform. Another potential downside is the privacy and security implications associated with conversational AI platforms. These systems typically rely on vast amounts of user data to improve performance and tailor responses, raising concerns about data privacy, consent, and the potential for unauthorized access or misuse of sensitive information.
Graphlogic GL Platform:

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported
R Systems:

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported
Graphlogic GL Platform:

Company Information

Graphlogic
Founded: 2023
Serbia
graphlogic.ai/
R Systems:

Company Information

R Systems
United States
www.rsystems.com/customer-experience-analytics/
Graphlogic GL Platform:

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Graphlogic GL Platform:
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Graphlogic GL Platform:
R Systems:
Graphlogic GL Platform:

Categories

R Systems:

Categories

Chatbot Supported
IVR Supported
Voice Bot Supported
Graphlogic GL Platform:

Chatbot Features

Call to Action Supported
Context and Coherence Supported
Human Takeover Supported
Inline Media / Videos Supported
Machine Learning Supported
Natural Language Processing Supported
Payment Integration Supported
Prediction Not Supported
Ready-made Templates Supported
Reporting / Analytics Supported
Sentiment Analysis Supported
Social Media Integration Supported

Conversational AI Features

Code-free Development Supported
Contextual Guidance Supported
For Developers Supported
Intent Recognition Supported
Multi-Languages Supported
Omni-Channel Supported
On-Screen Chats Supported
Pre-configured Bot Supported
Reusable Components Supported
Sentiment Analysis Supported
Speech Recognition Supported
Speech Synthesis Supported
Virtual Assistant Supported

Natural Language Processing Features

Co-Reference Resolution Supported
In-Database Text Analytics Not Supported
Named Entity Recognition Supported
Natural Language Generation (NLG) Supported
Open Source Integrations Supported
Parsing Supported
Part-of-Speech Tagging Not Supported
Sentence Segmentation Not Supported
Stemming/Lemmatization Supported
Tokenization Supported
Graphlogic GL Platform:

Integrations

Salesforce Supported
Alteryx Not Supported
Amazon Web Services (AWS) Not Supported
Automation Anywhere Not Supported
Boomi Not Supported
Celonis Not Supported
CloudHub Not Supported
Cloudera Not Supported
Cloudera Data Platform Not Supported
Freshdesk Supported
Google Supported
LINE Supported
Oracle Cloud Infrastructure Not Supported
Qlik Data Integration Not Supported
SAP Cloud Platform Not Supported
SS&C Blue Prism Not Supported
Sitecore Not Supported
Talend Data Integration Not Supported
UiPath Not Supported
Zendesk Supported
R Systems:

Integrations

Salesforce Supported
Alteryx Supported
Amazon Web Services (AWS) Supported
Automation Anywhere Supported
Boomi Supported
Celonis Supported
CloudHub Supported
Cloudera Supported
Cloudera Data Platform Supported
Freshdesk Not Supported
Google Not Supported
LINE Not Supported
Oracle Cloud Infrastructure Supported
Qlik Data Integration Supported
SAP Cloud Platform Supported
SS&C Blue Prism Supported
Sitecore Supported
Talend Data Integration Supported
UiPath Supported
Zendesk Not Supported
Graphlogic GL Platform:
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Claim Graphlogic GL Platform and update features and information
R Systems:
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Claim R Systems and update features and information