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What is Tomato.ai?

A voice filter powered by AI significantly improves the clarity of offshore agents' speech, resulting in marked increases in both customer satisfaction and sales effectiveness. Tomato.ai provides a solution that smoothens accents, facilitating clearer communication during calls. When agents from India, the Philippines, or other regions speak, customers find their words resonate more closely with those of native speakers, which boosts comprehension and reduces frustration levels. This innovative approach outpaces traditional accent training methods, delivering immediate enhancements in how well agents are understood. By implementing a speech filter, the overall customer experience sees a substantial uplift, which also helps alleviate any negative biases offshore agents might encounter due to their accents, consequently boosting employee retention rates. Improving the experience for offshore customers enables businesses to broaden their offshoring capabilities, yielding both cost efficiencies and heightened sales outcomes. Additionally, the voice filter empowers companies to consider hiring individuals who may have been previously disregarded because of their accents, thus expanding the talent pool and enriching the diversity of the workforce while fostering a more inclusive environment. This holistic approach not only benefits the employees but also enhances the company's reputation in the market.

What is MAI-Transcribe-1?

MAI-Transcribe-1 is a cutting-edge speech-to-text technology developed by Microsoft, available through Azure AI Foundry, designed to deliver accurate transcriptions from a range of audio inputs for both enterprise and developer use cases. It supports 25 widely spoken languages and effectively handles various accents, dialects, and speech patterns, ensuring dependable performance even in challenging conditions such as background noise, low audio quality, or overlapping speech. Created by the AI Superintelligence team at Microsoft, this solution prioritizes both precision and speed, enabling quick batch processing and straightforward scalability for production environments. This robust tool is vital for a multitude of applications, including meeting transcriptions, live caption generation, accessibility improvements, call center analytics, and the functioning of voice-activated systems, establishing itself as a key component in voice-driven innovations. Furthermore, its adaptability makes it an indispensable asset for enhancing communication and improving accessibility across a wide range of platforms, thus promoting inclusivity and efficiency in various sectors.

Media

Media

Integrations Supported

Avaya Cloud Office
Cisco CX Cloud
Genesys Cloud CX
Google Meet
JSON
Microsoft Foundry
Microsoft Teams
Zoom

Integrations Supported

Avaya Cloud Office
Cisco CX Cloud
Genesys Cloud CX
Google Meet
JSON
Microsoft Foundry
Microsoft Teams
Zoom

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

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

Tomato.ai

Company Location

United States

Company Website

tomato.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

ai.azure.com/catalog/models/MAI-Transcribe-1

Categories and Features

Categories and Features

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

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