We're excited to announce our $2.4M Preseed.
Read more here.
Unlock the
true potential of your
Voice AI
Unlock the
true potential of your Voice AI
Uncover deep insights into your voice AI to accelerate development,
optimize marketing, and ensure flawless delivery
Unlock the true
potential of your
Voice AI
Uncover deep insights into your voice AI to accelerate development, optimize marketing, and ensure flawless delivery
Problem
Your AI model is making mistakes you can’t hear
Your AI model is making mistakes you can’t hear
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
My Voice AI Model
So I consorted with the chief of the islanders, and they paid me the utmost respect
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
This common-sense implication is itself an outcropping of the instinct of workmanship
This common-sense implication is itself an outcropping of the instinct of workmanship
Implication sounds like application
Implication sounds like application
Implication sounds like application
Our mouths open, our lips move, but not a word can be heard
The last word heard sounds fuzzier
Leave to go ashore, sir
Leave to go ashore, sir
Leave pronunciation is omitted
Leave pronunciation is omitted
Uncas will stay, was the calm reply
Uncas will stay, was the calm reply
Wrong pronunciation in Uncas
Wrong pronunciation in Uncas
My Voice AI Model
Leave to go ashore, sir
Leave pronunciation is omitted
Uncas will stay, was the calm reply
Wrong pronunciation in Uncas
So I consorted with the chief of the islanders, and they paid me the utmost respect
Overemphasized & distortion
Our mouths open, our lips
move, but not a word can be
heard
The last word heard sounds fuzzier
Product
Introducing Podonos – Make your Voice AI models a breeze
Introducing Podonos – Make your Voice AI models a breeze
Introducing Podonos -
Make your Voice AI models a breeze
With Podonos, you can boost your Voice AI model development faster, accurate, and better.
With Podonos, you can boost your Voice AI model development faster, accurate, and better.
With Podonos, you can boost your Voice AI model development
faster, accurate, and better.
Optimized workflow
Optimized workflow
Optimized workflow
Streamline complex processes with efficient analysis workflow for voice AI models
Streamline complex processes with efficient analysis workflow for voice AI models
Streamline complex processes with efficient analysis workflow for voice AI models
AI model 1
Voice AI Analysis
AI model 2
AI model 1
Voice AI Analysis
AI model 2
My AI Model 1
Design and build evaluations
Recruit 100 evaluators
Long operation
Analyze & visualize
Gain insights
My AI model 2
My AI Model 1
Design and build evaluations
Recruit 100 evaluators
Long operation
Analyze & visualize
Gain insights
My AI model 2
Without Podonos
Without Podonos
With Podonos
With Podonos
Cost reduction
Development speed
Development speed
Work time reduction
Work time reduction
Save cost,
high efficiency
Save cost,
high efficiency
Save cost, high efficiency
Achieve greater efficiency and cost savings
with faster analysis
Achieve greater efficiency and cost savings with faster analysis
Achieve greater efficiency and cost savings with faster analysis
Get insights quickly
Get insights quickly
Get insights quickly
Clear & interactive visualizations help you analyze results, get insights, and deliver the model with confident
Clear & interactive visualizations help you analyze results, get insights, and deliver the model with confident
Clear & interactive visualizations help you analyze results, get insights, and deliver the model with confident
Currently supported languages include:
English
US, UK, Australia, Canada
Korean
Korea
Mandarin
China
German
Germany
Spanish
Spain, Mexico
French
France
Polish
Poland
Italian
Italy
Japanese
Japan
Portuguese
Hindi
Arabic
Vietnamese
, and more
Evaluate Voice AI models in 9 languages and 13 locales simultaneously.
Gain region-specific insights to optimize performance across diverse contexts.
Evaluate your models across
9+ languages and 13 locales all at once.
Forthcoming:
Currently supported
languages include:
English
US, UK, Australia, Canada
Korean
Korea
Mandarin
China
German
Germany
Spanish
Spain, Mexico
French
France
Polish
Poland
Italian
Italy
Japanese
Japan
Evaluate Voice AI models in 9 languages
and 13 locales simultaneously.
Gain region-specific insights to optimize performance across diverse contexts.
Evaluate your models
across 9+ languages and
13 locales all at once.
Portuguese
Hindi
Arabic
Vietnamese
, and more
Forthcoming:
Currently supported languages include:
English
US, UK, Australia, Canada
Korean
Korea
Mandarin
China
German
Germany
Spanish
Spain, Mexico
French
France
Polish
Poland
Italian
Italy
Japanese
Japan
Portuguese
Hindi
Arabic
Vietnamese
, and more
Evaluate Voice AI models in 9 languages and 13 locales simultaneously.
Gain region-specific insights to optimize performance across diverse contexts.
Evaluate your models across
9+ languages and 13 locales all at once.
Forthcoming:
Evaluate Voice AI models in 9 languages and 13 locales simultaneously.
Gain region-specific insights to optimize performance across diverse contexts.
Evaluate your models across
9+ languages and 13 locales all at once.
Currently supported languages include:
English
US, UK, Australia, Canada
Korean
Korea
Mandarin
China
German
Germany
Spanish
Spain, Mexico
French
France
Polish
Poland
Italian
Italy
Japanese
Japan
Portuguese
Hindi
Arabic
Vietnamese
, and more
Forthcoming:
Features
Everything you need to improve your Voice AI models
Everything you need to improve your Voice AI models
Everything you need to improve your Voice AI models
An underperforming voice AI model can decrease user engagement, trust, and satisfaction
An underperforming voice AI model can decrease user engagement, trust, and satisfaction
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
Easy to start
For both developers and non-developers
For both developers and non-developers
For both developers and non-developers
Python
Web
Podonos.py
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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()
Python
Web
Podonos.py
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3
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10
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()
Python
Web
Podonos.py
1
2
3
4
5
6
7
8
9
10
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()
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.
Attention test
Check evaluator focus to ensure reliable and valid responses.
Noise detection
Detect evaluators in noisy environments and exclude their responses to maintain accurate
results.
Intelligibility test
Verify evaluators’ ability to understand and process audio accurately.
Audio level adjustment
Standardize audio levels to eliminate inconsistencies and improve accuracy.
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.
Attention test
Check evaluator focus to ensure reliable and valid responses.
Noise detection
Detect evaluators in noisy environments and exclude their responses to maintain accurate results.
Audio level adjustment
Standardize audio levels to eliminate inconsistencies and improve accuracy.
Intelligibility test
Verify evaluators’ ability to understand and process audio accurately.
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.
Attention test
Check evaluator focus to ensure reliable and valid responses.
Intelligibility test
Verify evaluators’ ability to understand and process audio accurately.
Noise detection
Detect evaluators in noisy environments and exclude their responses to maintain accurate results.
Audio level adjustment
Standardize audio levels to eliminate inconsistencies and improve accuracy.
Examples
Check our real world reports
Check our real world reports
Naturalness and quality comparison of TTS APIs for US English
Naturalness and quality comparison of TTS APIs for US English
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
Compare the naturalness and the quality across multiple voice AI models. Also identifies issues and provide valuable insights
Compare the naturalness and the quality across multiple voice AI models.
Also identifies issues and provide valuable insights
Speech AI Preferences Test
Speech AI Preferences Test
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.
Compare which one is preferred among the two Text-To-Speech models to discover which one is relevant to your use cases.
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
Loved by our customers
Real stories from real users—see how Podonos is transforming voice AI modeling
Podonos' multilingual AI performance analysis provides the insights we need to create text-to-speech and voice cloning that truly resonates with listeners on an emotional level. Evaluating Voice models before release with Podonos should be a law.
Zohaib Ahmed
CEO, Resemble AI
Play AI relies on Podonos's voice AI performance analysis for marketing insights as well as for continuous AI development. Their deep analysis, competitive benchmarking and identification of potential failure modes give us the detailed reasons we need to succeed. We highly recommend them.
Will Matteson
Head of Product at Play AI
Evaluation of AI-enhanced speech is painful. It is especially difficult if you follow industry standards, such as ITU-R P.835, for rigorous evaluations. Podonos service carefully satisfies all the requirements in such standards, quickly evaluated our enhanced audio files, and sent us the final evaluation results within 9 hours. It is an incredible speed! Without the Podonos service, we would need to implement the evaluation tools, connect with existing services such as MTurk, deal with dishonest participants, and analyze the results, which easily takes more than a week.
Stanisław Andrzej Raczyński
CEO at Revoize
Setting up an evaluation session for a speech synthesis model is quite cumbersome and time consuming for our machine learning engineers: we otherwise would have had to find the right evaluation contractors, educate them, set up the pipeline properly, and finally analyze the evaluation results ourselves. Without such hassles, we now get clear insight on how to further improve our AI models from Podonos' evaluation reports.
Tim Jung
CEO at XL8
Podonos' multilingual AI performance analysis provides the insights we need to create text-to-speech and voice cloning that truly resonates with listeners on an emotional level. Evaluating Voice models before release with Podonos should be a law.
Zohaib Ahmed
CEO, Resemble AI
Play AI relies on Podonos's voice AI performance analysis for marketing insights as well as for continuous AI development. Their deep analysis, competitive benchmarking and identification of potential failure modes give us the detailed reasons we need to succeed. We highly recommend them.
Will Matteson
Head of Product at Play AI
Evaluation of AI-enhanced speech is painful. It is especially difficult if you follow industry standards, such as ITU-R P.835, for rigorous evaluations. Podonos service carefully satisfies all the requirements in such standards, quickly evaluated our enhanced audio files, and sent us the final evaluation results within 9 hours. It is an incredible speed! Without the Podonos service, we would need to implement the evaluation tools, connect with existing services such as MTurk, deal with dishonest participants, and analyze the results, which easily takes more than a week.
Stanisław Andrzej Raczyński
CEO at Revoize
Setting up an evaluation session for a speech synthesis model is quite cumbersome and time consuming for our machine learning engineers: we otherwise would have had to find the right evaluation contractors, educate them, set up the pipeline properly, and finally analyze the evaluation results ourselves. Without such hassles, we now get clear insight on how to further improve our AI models from Podonos' evaluation reports.
Tim Jung
CEO at XL8
Podonos' multilingual AI performance analysis provides the insights we need to create text-to-speech and voice cloning that truly resonates with listeners on an emotional level. Evaluating Voice models before release with Podonos should be a law.
Zohaib Ahmed
CEO, Resemble AI
Play AI relies on Podonos's voice AI performance analysis for marketing insights as well as for continuous AI development. Their deep analysis, competitive benchmarking and identification of potential failure modes give us the detailed reasons we need to succeed. We highly recommend them.
Will Matteson
Head of Product at Play AI
Evaluation of AI-enhanced speech is painful. It is especially difficult if you follow industry standards, such as ITU-R P.835, for rigorous evaluations. Podonos service carefully satisfies all the requirements in such standards, quickly evaluated our enhanced audio files, and sent us the final evaluation results within 9 hours. It is an incredible speed! Without the Podonos service, we would need to implement the evaluation tools, connect with existing services such as MTurk, deal with dishonest participants, and analyze the results, which easily takes more than a week.
Stanisław Andrzej Raczyński
CEO at Revoize
Setting up an evaluation session for a speech synthesis model is quite cumbersome and time consuming for our machine learning engineers: we otherwise would have had to find the right evaluation contractors, educate them, set up the pipeline properly, and finally analyze the evaluation results ourselves. Without such hassles, we now get clear insight on how to further improve our AI models from Podonos' evaluation reports.
Tim Jung
CEO at XL8
Podonos' multilingual AI performance analysis provides the insights we need to create text-to-speech and voice cloning that truly resonates with listeners on an emotional level. Evaluating Voice models before release with Podonos should be a law.
Zohaib Ahmed
CEO, Resemble AI
Play AI relies on Podonos's voice AI performance analysis for marketing insights as well as for continuous AI development. Their deep analysis, competitive benchmarking and identification of potential failure modes give us the detailed reasons we need to succeed. We highly recommend them.
Will Matteson
Head of Product at Play AI
Evaluation of AI-enhanced speech is painful. It is especially difficult if you follow industry standards, such as ITU-R P.835, for rigorous evaluations. Podonos service carefully satisfies all the requirements in such standards, quickly evaluated our enhanced audio files, and sent us the final evaluation results within 9 hours. It is an incredible speed! Without the Podonos service, we would need to implement the evaluation tools, connect with existing services such as MTurk, deal with dishonest participants, and analyze the results, which easily takes more than a week.
Stanisław Andrzej Raczyński
CEO at Revoize
Setting up an evaluation session for a speech synthesis model is quite cumbersome and time consuming for our machine learning engineers: we otherwise would have had to find the right evaluation contractors, educate them, set up the pipeline properly, and finally analyze the evaluation results ourselves. Without such hassles, we now get clear insight on how to further improve our AI models from Podonos' evaluation reports.
Tim Jung
CEO at XL8
We're excited to announce our $2.4M Preseed.
Read more here.
