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What is SoundHound?

SoundHound AI is a conversational and agentic AI platform built to automate customer, employee, and commerce interactions through voice and digital channels. Its OASYS platform serves as a voice-native orchestration layer for developing, deploying, and managing AI agents that can understand requests and take actions across connected business systems. The platform is designed for real-world conversations, including environments where background noise, interruptions, varied speaking styles, and complex requests can make traditional voice automation difficult. SoundHound combines conversational understanding with agent orchestration, business rules, integrations, guardrails, and optional human assistance to help agents complete tasks reliably. Organizations can deploy the same underlying platform across contact centers, mobile applications, websites, physical locations, vehicles, employee systems, and other customer or workforce touchpoints. Service use cases include resolving support requests, automating contact-center interactions, assisting employees, handling IT and HR service desk tasks, and supporting front-desk operations. Commerce capabilities allow businesses to turn conversations into transactions through applications such as restaurant ordering, voice commerce, and other purchasing experiences. SoundHound also supports digital assistants and automotive voice experiences that allow users to interact with products and services through natural conversation. Enterprise security features include layered guardrails, a dedicated PII detection and masking model, tenant isolation, encryption, access controls, and logs that make agent decisions traceable and auditable. The platform serves industries including automotive, healthcare, financial services, insurance, restaurants, retail, telecommunications, travel and hospitality, utilities, and other sectors with high volumes of conversational interactions.

What is Amazon Lex?

Amazon Lex is an influential platform aimed at developing conversational interfaces in applications, enabling both voice and text interactions. It employs cutting-edge deep learning technology, including automatic speech recognition (ASR) that converts spoken language into text and natural language understanding (NLU) that helps decipher user intent, facilitating the creation of dynamic user interactions that feel natural and engaging. By harnessing the same advanced technologies that power Amazon Alexa, Amazon Lex provides developers with the tools necessary to build intricate conversational bots, often referred to as chatbots. This platform is particularly beneficial in enhancing efficiency in contact centers, simplifying routine tasks, and increasing overall operational productivity within organizations. Moreover, being a fully managed service, Amazon Lex scales automatically according to usage demands, relieving developers of the burden of infrastructure management. As a result, teams can dedicate more time to innovative solutions rather than being bogged down by technical challenges, thus fostering a culture of creativity and improvement. Ultimately, this versatility makes Amazon Lex an essential tool for businesses looking to enhance customer engagement through conversational technology.

Media

Media

Integrations Supported

Operata
AWS Lambda
Amazon CloudWatch
BotCore
Elastic Path
Facebook Messenger
HelpNow Agentic AI Platform
HubSpot CRM
HubSpot Customer Platform
Microsoft Dynamics 365
PubNub
QuickBooks Online
Rapport
Salesforce
Slack
Smart IVR
Twilio
UneeQ
WhosOn
XCALLY

Integrations Supported

Operata
AWS Lambda
Amazon CloudWatch
BotCore
Elastic Path
Facebook Messenger
HelpNow Agentic AI Platform
HubSpot CRM
HubSpot Customer Platform
Microsoft Dynamics 365
PubNub
QuickBooks Online
Rapport
Salesforce
Slack
Smart IVR
Twilio
UneeQ
WhosOn
XCALLY

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Depends on usage
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SoundHound AI

Date Founded

2005

Company Location

United States

Company Website

www.soundhound.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lex/

Categories and Features

Natural Language Processing

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

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

Text to Speech

API
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech

Categories and Features

Chatbot

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

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 Generation

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

Natural Language Processing

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

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