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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 Hound?

Hound is an exceptionally fast tool for searching through source code. It is built on the principles outlined in an article and the corresponding code created by Russ Cox, which focuses on using a trigram index for regular expression matching. The application comprises a static frontend developed in React that interacts with a Go backend, which is tasked with keeping the index updated for all repositories and executing searches through an efficient API. While Hound has mostly undergone testing on MacOS and CentOS, it is intended to work seamlessly on any Unix-like operating system. Although it does not officially support Windows, there are user reports suggesting that it compiles and operates well on that platform; for optimal performance, it is recommended to keep your data folder outside of the Windows Search Indexer. Users have shown great enthusiasm for its features, and the development team is actively working to improve its compatibility across more operating systems. This ongoing enhancement process is aimed at expanding Hound's usability and ensuring a smoother experience for a wider range of users.

Media

Media

Integrations Supported

Emacs
Operata
Sublime Text
Vim
Visual Studio Code

Integrations Supported

Emacs
Operata
Sublime Text
Vim
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
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

Etsy

Company Website

github.com/hound-search/hound

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

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