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  • Deep-Domain Conversational AI to Power the Next Generation of Voice and Chat Assistants

    Hero Screenshot
  • Deep-Domain Conversational AI to Power the Next Generation of Voice and Chat Assistants

    Hero Screenshot
  • Deep-Domain Conversational AI to Power the Next Generation of Voice and Chat Assistants

    Hero Screenshot
  • We are entering a world where voice and chat assistants will be on-command to assist with many daily tasks.

    Help your users easily

    discover on-demand music and video

    using intuitive voice commands

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  • We are entering a world where voice and chat assistants will be on-command to assist with many daily tasks.

    Use mobile voice or text ordering to

    enable in-store or curbside pickup

    with zero wait time and zero errors

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  • We are entering a world where voice and chat assistants will be on-command to assist with many daily tasks.

    Start a conversation with your customers

    across all of their favorite messaging and chat apps

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  • We are entering a world where voice and chat assistants will be on-command to assist with many daily tasks.

    Enable quick chat-based transactions

    without needing users to install your native app

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  • We are entering a world where voice and chat assistants will be on-command to assist with many daily tasks.

    Provide better support at lower cost

    by automating your most common customer interactions

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  • We are entering a world where voice and chat assistants will be on-command to assist with many daily tasks.

    Respond to your customers' voice commands

    on the new generation of connected home devices

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Unfortunately, the first generation of voice and chat assistants has failed to live up to the hype.

Hit-or-miss accuracy quickly frustrates users
Preset rules break when users go slightly off-script
Common slang can often go misunderstood
Shallow knowledge fails to answer even basic questions

Today’s machine learning tools are rarely up to the task.

Data Science Developer Platforms

provide state-of-the-art algorithms but little pertinent training data

for many conversational domains, training data may be difficult or impossible to collect

even the smartest data scientists rarely succeed in launching production NLP apps

Web-Based NLP Services

pre-built domains streamline development but are largely irrelevant for most apps

tools for building custom domains can only handle narrow models and trivial apps

ML capabilities only scratch the surface of what is typically required for production apps

The next generation of truly useful voice and chat assistants requires Deep-Domain Conversational AI.

High-Quality Training Data

Deep-Domain Conversational AI collects and manages potentially millions of training examples to satisfy the unique requirements of each application.

Deep-Domain Conversational AI harnesses ongoing application usage data to improve accuracy continuously over time.

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State-of-the-Art Algorithms

Deep-Domain Conversational AI leverages state-of-the-art machine learning techniques for NLP and for QA to deliver human-like accuracy for any broad-vocabulary domain.

Deep-Domain Conversational AI employs end-to-end measurement and analytics to ensure optimal performance across the long tail of user interactions.

Five years in the making, MindMeld is the industry's most advanced Deep-Domain Conversational AI platform.

MindMeld provides end-to-end support from prototype to production.

MindMeld
Pilot

Initial phase to build a proof-of-concept application for non-production testing.

Support provided for 2-week evaluation period.

MindMeld
Cloud

Private cloud deployment of your application for use in production.

Integration and ongoing support provided.

MindMeld
Enterprise

On-premise deployment of your application for use in production.

Integration and ongoing support provided.

MindMeld
Deep Dive

4-day technical training on building state-of-the-art Conversational AI systems.

Covers ML fundamentals for NLP and QA applications.

MindMeld is the right solution for you if...

  • You need to build a conversational interface that delivers more than canned responses for a narrow list of commands.

  • You need to maintain ownership and control of the data and the models that power your application.

  • You need to not only understand user questions but also provide answers based on a large product catalog, content library or FAQ database.

  • You are ready to invest in building the data sets and AI technology to ensure your application outperforms the competition.

Watch how voice search outruns text search

Trusted by leading global companies

Samsung - Intel - Telefonica - IDG - Liberty Global

[MindMeld] has the potential to advance natural- language recognition and push the envelope where Google, Microsoft, and Apple have failed so far.

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One of the leading companies in this space is Google- and Samsung-backed [MindMeld].

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[MindMeld] named by MIT Technology Review as one of the 50 Smartest Companies of 2014.

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The next major step forward in the way content and information are delivered to consumers.

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[MindMeld is] advanced enough to enable a whole new approach to using speech recognition in the workspace, at home and in the car.

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MindMeld is at the forefront of the kind of technology that will surround us everywhere in a few years.

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