Semantic Machines Platform
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Problems that solves

Low quality of customer service

High costs of routine operations

No automated business processes

No support for mobile and remote users

Low employee productivity

High costs of IT personnel

Failure to attract new customers

Customer attrition

Low quality of customer support

High costs

Values

Reduce Costs

Enhance Staff Productivity

Improve Customer Service

Increase Customer Base

Expand Sales Geography

Support Customers

Enhance Competitive Ability

Semantic Machines Platform

Semantic Machines focuses on conversational artificial intelligence, which is all the rage for digital voice assistants and social chatbots.

Description

Conversational AI interfaces will soon enable people to communicate naturally with computers for the first time. This historic innovation will unleash a wave of changes to search, e-commerce, social networks, productivity software, and devices. Semantic Machines is developing the fundamental AI technology needed to make conversational computing a reality. Semantic Machines is developing a new, language-independent technology platform that goes beyond understanding commands to understanding conversations. Our approach represents a powerful new paradigm, enabling computers to communicate, collaborate, understand goals, and accomplish tasks. Leveraging extensive proprietary machine learning technology, we are developing the following core components: Conversation Engine The Semantic Machines Conversation Engine is a revolutionary approach for modeling human discourse fluidly across speech and text. The engine extracts semantic intent from natural input (voice or text) and then spawns a self-updating learning framework for managing dialog state, context, salience, and end-user goals. The Conversation Engine's natural language generation (NLG) technology actively formulates communication with the user based on the dialog context. Deep Learning Semantic Machines is developing state-of-the-art neural network systems for use across a range of critical functions from semantic analysis to dialog state to acoustic and language models, NLG and speech synthesis. Speech Synthesis Speech synthesis is critical for conversational computing. The computer’s voice takes the place of a display providing information users need. Existing speech synthesis technology, particularly the prosodic models, are not sufficient to enable effective conversational computing. Leveraging our extensive natural language and machine learning expertise we are developing technology that will enable computer voices to have contextually appropriate intonation, cadence, and volume.

User features

Roles of Interested Employees

Chief Executive Officer

Chief Information Officer

Chief Sales Officer

Operational Manager

Sales Management

Marketing Management

Consultant

Organizational Features

Web-based customer portal

Mobile users

Internet access is available for employees

Social networks are used