+
+

Related Products

  • Google Cloud Speech-to-Text
    366 Ratings
    Visit Website
  • Dialpad Support
    1,600 Ratings
    Visit Website
  • Forethought
    166 Ratings
    Visit Website
  • QEval
    30 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Aircall
    1,822 Ratings
    Visit Website
  • Squaretalk
    294 Ratings
    Visit Website
  • 11x
    70 Ratings
    Visit Website
  • LALAL.AI
    5,230 Ratings
    Visit Website
  • Phonexa
    238 Ratings
    Visit Website

About

Dograh is an open source, self-hostable voice agent platform with a no-code workflow builder for creating production voice agents. Teams can choose their own inbound channels, speech-to-text, LLM, text-to-speech, and telephony providers, or replace the traditional cascade with speech-to-speech models for direct audio-in, audio-out conversations with natural turn-taking, interruption handling, and low latency. The platform supports inbound and outbound calling, widgets, telephony integrations, observability, traces, real-time analytics, hybrid pre-recorded voice plus TTS, and more than 70 languages. Its MCP server lets Claude Code, Cursor, OpenClaw, Codex, and other agent runtimes create, modify, and deploy voice agents directly from development environments. Dograh can run on your own servers, inside a private cloud or VPC, or in a managed environment, with support for models hosted entirely within your perimeter.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, businesses, and regulated organizations seeking to build, customize, deploy, and self-host production voice AI agents with control over models, integrations, telephony, and data

Audience

Contact center, BFSI, eCommerce, HealthCare, Logistics, Telecommunications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

1¢ per minute
Free Version
Free Trial

Pricing

$75/1250 MAU/month
Cloud version pricing is per MAU or per 1 Min
On-Premises version is
Free Version
Free Trial

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

Reviews/Ratings

Overall 4.8 / 5
ease 4.8 / 5
features 4.2 / 5
design 4.2 / 5
support 4.5 / 5

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.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Dograh
United States
www.dograh.com

Company Information

Graphlogic
Founded: 2023
Serbia
graphlogic.ai/

Alternatives

Alternatives

Amazon Lex

Amazon Lex

Amazon
LM-Kit.NET

LM-Kit.NET

LM-Kit
Dialogflow

Dialogflow

Google

Categories

Categories

Chatbot Features

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Conversational AI Features

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

Natural Language Processing Features

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Integrations

Google
AWS AI Services
Calendly
ChatGPT
Claude Code
Deepgram
ElevenLabs
Freshdesk
GENESYS
Groq
Hugging Face
Inworld
Langfuse
OpenAI
Plivo
Salesforce
Slack
Speechmatics
Telegram
Twilio

Integrations

Google
AWS AI Services
Calendly
ChatGPT
Claude Code
Deepgram
ElevenLabs
Freshdesk
GENESYS
Groq
Hugging Face
Inworld
Langfuse
OpenAI
Plivo
Salesforce
Slack
Speechmatics
Telegram
Twilio
Claim Dograh and update features and information
Claim Dograh and update features and information
Claim Graphlogic GL Platform and update features and information
Claim Graphlogic GL Platform and update features and information