Audience

IT teams searching for a Conversational AI platform for deep-domain voice interfaces and chatbots

About MindMeld

The MindMeld Conversational AI Platform is a Python-based machine learning framework that encompasses all of the algorithms and utilities required for building production-quality conversational applications. Evolved over several years of building and deploying dozens of advanced interfaces, MindMeld is optimized for building conversational assistants which demonstrate deep understanding of a particular use case or domain while providing highly useful and versatile conversational experiences. Powerful command-line utilities and Python APIs with the flexibility to accommodate nearly any product requirements. Access to state-of-the-art machine learning algorithms and streamlined management of large sets of custom training data. Enhanced entity recognition and resolution to deal with automatic speech recognition (ASR) errors.

Integrations

API:
Yes, MindMeld offers API access

Ratings/Reviews

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Company Information

Cisco DevNet
Founded: 1984
United States
developer.cisco.com/mindmeld/

Videos and Screen Captures

MindMeld Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online

MindMeld Frequently Asked Questions

Q: What kinds of users and organization types does MindMeld work with?
Q: What languages does MindMeld support in their product?
Q: What kind of support options does MindMeld offer?
Q: Does MindMeld have an API?
Q: What type of training does MindMeld provide?

MindMeld Product Features

Chatbot

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

Conversational AI

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

Natural Language Generation

Email Marketing
Financial Reporting
Web Content
Chatbot
SEO
Business Intelligence
CRM Data Analysis and Reports
Multiple Language Support

Natural Language Processing

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