We power the next generation of Voice AI

We power the next generation
of Voice AI


We power the
next generation of Voice AI

Panels helps voice teams get the data they need to build and ship better audio models faster.

We create high-quality audio datasets for training and evaluation, working closely with frontier voice labs and early-stage startups to curate data that matches the needs of each team.

If you’re building the next generation of Voice AI, explore what Panels can do and see what production-ready data actually looks like.

Process

Process

01

Research

We start by understanding what you're building, how the model will be used, and where data quality matters most. From there, we define target use cases, speakers, environments, and edge cases, and translate them into clear dataset requirements and acceptance criteria.

01

Research

We start by understanding what you're building, how the model will be used, and where data quality matters most. From there, we define target use cases, speakers, environments, and edge cases, and translate them into clear dataset requirements and acceptance criteria.

01

Research

We start by understanding what you're building, how the model will be used, and where data quality matters most. From there, we define target use cases, speakers, environments, and edge cases, and translate them into clear dataset requirements and acceptance criteria.

02

Collect

Next, we execute the plan with end-to-end collection and production handled in-house. We collect audio to match your spec, then run rigorous QA, transcription, and review to ensure consistency and reliability. We share checkpoints and samples along the way so you can validate direction early and iterate quickly before scaling.

02

Collect

Next, we execute the plan with end-to-end collection and production handled in-house. We collect audio to match your spec, then run rigorous QA, transcription, and review to ensure consistency and reliability. We share checkpoints and samples along the way so you can validate direction early and iterate quickly before scaling.

02

Collect

Next, we execute the plan with end-to-end collection and production handled in-house. We collect audio to match your spec, then run rigorous QA, transcription, and review to ensure consistency and reliability. We share checkpoints and samples along the way so you can validate direction early and iterate quickly before scaling.

03

Iterate

Once the core dataset is delivering value, we help you grow coverage and performance over time. We identify gaps from model results and real-world feedback, then expand into new accents, noise conditions, domains, and long-tail scenarios. Each dataset evolves alongside your product and keeps getting more useful with every release.

03

Iterate

Once the core dataset is delivering value, we help you grow coverage and performance over time. We identify gaps from model results and real-world feedback, then expand into new accents, noise conditions, domains, and long-tail scenarios. Each dataset evolves alongside your product and keeps getting more useful with every release.

03

Iterate

Once the core dataset is delivering value, we help you grow coverage and performance over time. We identify gaps from model results and real-world feedback, then expand into new accents, noise conditions, domains, and long-tail scenarios. Each dataset evolves alongside your product and keeps getting more useful with every release.

Q&A

Q&A

Q&A

Who do you typically work with?

We collaborate with Voice AI companies of all shapes and sizes. Whether your a new startup or a large lab, we're happy to explore how our audio data can help fill your needs.

Can I request samples?

Yes! We offer samples for all of our off-the-shelf datasets. For bespoke projects, samples are typically delivered within two weeks.

Do you offer exclusive audio datasets?

Yes, audio data can be purchased alognside exclusivity rights. For more information, please reach out regarding your specfic use case.