Unlock the true potential of your voice AI

Uncover deep insights into your voice AI to accelerate development, optimize marketing, and ensure flawless delivery

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Loved by teams at

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Uncas will stay, was the calm reply

Wrong pronunciation in Uncas

Leave to go ashore, sir

Leave pronunciation is omitted

Our mouths open, our lips move, but not a word can be heard

The last word heard sounds fuzzier

Problem

Your AI model is making mistakes you can’t hear

An underperforming Voice AI model can decrease user engagement, trust, and satisfaction

My Voice AI Model

So I consorted with the chief of the islanders, and they paid me the utmost respect

Overemphasized & distortion

This common-sense implication is itself an outcropping of the instinct of workmanship

Implication sounds like application

Product

Introducing Podonos – Make your Voice AI models a breeze

With Podonos, you can boost your Voice AI model development faster, accurate, and better.

Optimized workflow

Streamline complex processes with efficient analysis workflow for voice AI models

My AI Model 1

Design and build evaluations

Recruit 100 evaluators

Long operation

Analyze & visualize

Gain insights

My AI model 2

With Podonos

Without Podonos

My AI Model 1

Design and build evaluations

Recruit 100 evaluators

Long operation

Analyze & visualize

Gain insights

My AI model 2

With Podonos

Without Podonos

My AI Model 1

Design and build evaluations

Recruit 100 evaluators

Long operation

Analyze & visualize

Gain insights

My AI model 2

With Podonos

Without Podonos

Save cost, high efficiency

Achieve greater efficiency and cost savings with faster analysis

20%

Cost reduction

Development speed

80%

Work time reduction

Get insights quickly

Clear & interactive visualizations help you analyze results, get insights, and deliver the model with confident

Features

Everything you need to improve your voice AI models

An underperforming voice AI model can decrease user engagement, trust, and satisfaction

Flexible customization

Customize every aspect of the evaluation process, from questions and instructions with various types to criteria, ensuring it aligns seamlessly with your purpose.

Detailed reports

Access detailed reports that provide a clear view of evaluation results, helping you measure impact and make informed decisions with confidence.

Collaborate with team

Enable teamwork by sharing evaluations, feedback, and reports. Foster collaboration and ensure everyone stays aligned on goals and outcomes

Flexible customization

Customize every aspect of the evaluation process, from questions and instructions with various types to criteria, ensuring it aligns seamlessly with your purpose.

Detailed reports

Access detailed reports that provide a clear view of evaluation results, helping you measure impact and make informed decisions with confidence.

Collaborate with team

Enable teamwork by sharing evaluations, feedback, and reports. Foster collaboration and ensure everyone stays aligned on goals and outcomes

Flexible customization

Customize every aspect of the evaluation process, from questions and instructions with various types to criteria, ensuring it aligns seamlessly with your purpose.

Detailed reports

Access detailed reports that provide a clear view of evaluation results, helping you measure impact and make informed decisions with confidence.

Collaborate with team

Enable teamwork by sharing evaluations, feedback, and reports. Foster collaboration and ensure everyone stays aligned on goals and outcomes

Features

Easy to start

For both developers and non-developers

Python

Web

Podonos.py

import podonos

from podonos import *

client = podonos.init(api_key="<YOUR_API_KEY>")

etor = client.create_evaluator(

name='Naturalness of my new speech synthesis', type='NMOS', lan='en-us')

# Add a file.

etor.add_file(file=File(path="<YOUR_AUDIO_FILE_PATH>",

model_tag="my_model", tags=["syn1, epoch2"]))

etor.close()

Go to docs

Python

Web

Podonos.py

import podonos

from podonos import *

client = podonos.init(api_key="<YOUR_API_KEY>")

etor = client.create_evaluator(

name='Naturalness of my new speech synthesis', type='NMOS', lan='en-us')

# Add a file.

etor.add_file(file=File(path="<YOUR_AUDIO_FILE_PATH>",

model_tag="my_model", tags=["syn1, epoch2"]))

etor.close()

Go to docs

Unmatched Reliability You Can Trust

Pre-screening

We ensure only qualified evaluators participate by conducting thorough pre-screening processes.

Device test

Evaluate the quality and compatibility of devices to maintain consistent standards.

Intelligibility test

Verify evaluators’ ability to understand and process audio accurately.

Attention test

Check evaluator focus to ensure reliable and valid responses.

Audio level adjustment

Standardize audio levels to eliminate inconsistencies and improve accuracy.

Noise detection

Detect evaluators in noisy environments and exclude their responses to maintain accurate results.

Examples

Check our real world reports

Naturalness and quality comparison of TTS APIs for US English

Compare the naturalness and the quality across multiple voice AI models. Also identifies issues and provide valuable insights

Speech AI Preferences Test

Compare which one is preferred among the two Text-To-Speech models to discover which one is relevant to your use cases.

Testimonials

Loved by our customers

Real stories from real users—see how Podonos is transforming voice AI modeling

⭐️

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Ready to unlock the potential of your voice AI Model?

Improve your model with trust

Start your project