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AI Is Leaving Most of the World Out.

Early Access to Future of AI Growth

Today’s language models miss huge parts of how the world communicates. Sona AI is changing that by paying people to contribute real, contextual speech data. Join the waitlist to get early access to our first collection and help close the language gap.

Join our growing community of researchers, builders and contributers.

Community Data

Paid voice recordings and long-form speech collected directly from contributors, grounded in real linguistic and cultural context.

Community Data

Paid voice recordings and long-form speech collected directly from contributors, grounded in real linguistic and cultural context.

Community Data

Paid voice recordings and long-form speech collected directly from contributors, grounded in real linguistic and cultural context.

Long-Context Language Data

Natural conversations, narratives, and structured speech designed for long-context modeling, evaluation, and reasoning.

Long-Context Language Data

Natural conversations, narratives, and structured speech designed for long-context modeling, evaluation, and reasoning.

Long-Context Language Data

Natural conversations, narratives, and structured speech designed for long-context modeling, evaluation, and reasoning.

Curated Archives

Rights-cleared media and historical speech sources organized by language, culture, and community.

Curated Archives

Rights-cleared media and historical speech sources organized by language, culture, and community.

Curated Archives

Rights-cleared media and historical speech sources organized by language, culture, and community.

Our Approach

Ethical Language Data, Built From the Ground Up

Sona AI builds ethically sourced speech data to close the language gap in AI. We collect real-world voice recordings through a consumer app that pays contributors directly, and through partnerships with organizations in regions underrepresented in existing datasets. All data is opt-in, rights-cleared, and context-aware, enabling AI companies to train more accurate, inclusive language models.

Launch Date:

February 2025

Key Benefit:

Licensed and ethically sourced training data

Built For:

AI research teams and model developers

FAQ

Frequently Asked Questions

What is included in early access?

Early access provides a preview of available datasets, documentation, and licensing details for underrepresented language and cultural data.

How is the data sourced?

Data comes from two sources: licensed media from global rights holders and paid spoken and written contributions from native speakers.

How is the data organized?

Data is structured by language, culture, and region to preserve context and support long-context generation.

How are contributors compensated?

Contributors are paid for their language data. Licensing revenue is used to fund ongoing compensation.

Who is Sona built for?

Sona is built for AI companies, research labs, and institutions training or evaluating large language models.

How much does access cost?

Pricing depends on dataset scope and usage. Details are shared during access discussions.

What is included in early access?

Early access provides a preview of available datasets, documentation, and licensing details for underrepresented language and cultural data.

How is the data sourced?

Data comes from two sources: licensed media from global rights holders and paid spoken and written contributions from native speakers.

How is the data organized?

Data is structured by language, culture, and region to preserve context and support long-context generation.

How are contributors compensated?

Contributors are paid for their language data. Licensing revenue is used to fund ongoing compensation.

Who is Sona built for?

Sona is built for AI companies, research labs, and institutions training or evaluating large language models.

How much does access cost?

Pricing depends on dataset scope and usage. Details are shared during access discussions.

What is included in early access?

Early access provides a preview of available datasets, documentation, and licensing details for underrepresented language and cultural data.

How is the data sourced?

Data comes from two sources: licensed media from global rights holders and paid spoken and written contributions from native speakers.

How is the data organized?

Data is structured by language, culture, and region to preserve context and support long-context generation.

How are contributors compensated?

Contributors are paid for their language data. Licensing revenue is used to fund ongoing compensation.

Who is Sona built for?

Sona is built for AI companies, research labs, and institutions training or evaluating large language models.

How much does access cost?

Pricing depends on dataset scope and usage. Details are shared during access discussions.