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What is OTO?

With OTO, call centers can achieve unparalleled transparency into customer conversations within a swift timeframe of just 20 hours, thus improving their NPS scoring through insightful in-call intonation analytics. By accurately assessing the engagement levels of call agents, businesses are empowered to proactively refine their workforce management strategies while enhancing the quality assurance process for calls. The language-agnostic nature of OTO ensures a wide range of output parameters, and its API allows companies to initiate the analysis of all in-call conversations almost immediately. Seize the opportunity to explore our free trial and begin extracting valuable insights from your call data right away! Understanding that voice serves as a vital link between businesses and their customers, we strive to enable organizations to effectively interpret and leverage their voice data on a large scale. Whether you are developing a mobile application or constructing data analytics dashboards, our efficient DeepToneTM engine provides access to powerful voice models across any device, enhancing your audio analysis with detailed acoustic labels compatible with virtually all audio formats. By utilizing these state-of-the-art tools, you can discover fresh avenues for customer engagement and significantly boost operational efficiency, ultimately driving better business outcomes.

What is MInD Platform?

Through our MIND platform, we develop customized solutions designed to meet your unique challenges. Following this, we offer training for your team to effectively manage these solutions and make necessary adjustments to the underlying models. A diverse array of industries, including industrial, medical, and consumer services, utilizes our offerings to automate processes that once depended heavily on human effort; tasks such as performing visual inspections for product quality, ensuring food sector quality assurance, counting and categorizing biological cells or chromosomes in research, assessing performance in gaming, measuring geometric parameters like position, size, profile, distance, and angle, monitoring agricultural products, and executing time series analyses in both healthcare and sports. The advanced functionalities of our MIND platform enable businesses to effortlessly create comprehensive AI solutions that are tailored to their specific requirements. This platform provides all the critical tools needed for each of the five phases involved in developing deep learning solutions, facilitating a streamlined and effective development experience. By harnessing the capabilities of our MIND platform, companies can stay ahead in an ever-changing technological environment, ultimately driving innovation and success. Our commitment is to ensure that your business not only adapts but thrives in this fast-paced digital era.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Axis LMS
Google Cloud Platform
Microsoft Azure

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$100 per month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
Linux

Supported Platforms

Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

OTO Systems

Date Founded

2017

Company Location

United States

Company Website

www.oto.ai/

Company Facts

Organization Name

Machine Intelligence

Company Location

Hungary

Company Website

mi.services

Categories and Features

AI Call Center

Not specified

Call Center

Call Recording
Reporting/Analytics

Deep Learning

Image Segmentation
ML Algorithm Library
Neural Network Modeling
Self-Learning

NPS

Not specified

Speech Recognition

Audio Capture
Concatenated Speech
Multi-Languages
Voice Recognition

Categories and Features

Deep Learning

Convolutional Neural Networks
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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