Multilingual speech data, sourced to order.

What we do — and what we do not

The training data market has a matching problem. AI teams know what they need but not who can produce it; studios can produce it but cannot find that buyer. That gap is what we close.

Browse by data category

Each category page explains what the data is, what buyers get wrong about it, and which specification detail most often decides whether a delivery is usable.

• Call Center Speech

  Recorded customer-service calls, real or simulated, capturing both the agent and the caller side, used for call center QC, intent recognition, and dialogue systems.

• Conversational Speech

  Speech from natural conversation between two or more people, on open or semi-structured topics, used for conversational AI, voice assistants, and small talk models.

• Singing Voice

  Vocal recordings with melody, in both a cappella and accompanied form, used for singing voice synthesis, music information retrieval, and lyric alignment.

• Speech Commands

  Targeted recordings of short command words or phrases, usually with many speakers reading each entry several times over, used for wake words and on-device command recognition.

• Read Speech

  Recordings of speakers reading specified text, with clear pronunciation and known text, the base material for TTS and ASR.

• Podcast Speech

  Long-form podcast and interview audio, either solo monologue or two-person conversation, used for long-form speech recognition and speaker modeling.

• Multilingual Speech

  Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.

• Noisy Speech

  Speech collected under background noise — street, in-car, restaurant, office and other real environments — used for noise-robust models and speech enhancement.

• Code-Switching Speech

  Speech that mixes two or more languages inside a single utterance — Hinglish, Spanglish, Taglish — used for recognition in real spoken settings.

All data categories →

Where buyers start

• AI Data Brokerage

  A data broker sits between the people who need training data and the people who can produce it. We source to order — no inventory, no license resale, no recycled datasets.

• AI Training Data Providers

  What to check before you sign with a training data provider — and how we compare on each point.

• AI Training Data Marketplace

  Marketplaces sell what already exists. We source what you actually need. Here is when each model makes sense.

• Buy AI Training Data

  A practical guide to buying training data without overpaying for hours you cannot use.

• AI Data Licensing

  What the license actually permits is more important than the dataset specification. Here is what to check.

• Embodied AI Data Collection

  Collection for robots and physical agents, scoped as a task matrix rather than an hour count. What the project involves, what moves the cost, and what lands in your hands at delivery.

• Robot Data Collection Services

  Buying robot data collection as a service means renting someone else's rig, operators, and scenes. How to judge a provider, and what the contract has to settle before work starts.

• Physical AI Data

  Physical AI is the umbrella term for systems that act in the world — robots, vehicles, drones, and the human demonstration data that teaches them. The choice that shapes the budget is machine-collected or human-collected.

• Sell AI Training Data

  If you have recording capability, annotation capacity, or language access that AI teams need, we want to hear from you.

• Sell Data to AI Companies

  How AI companies actually buy data, the routes a supplier can realistically use, and the reasons most first approaches fail before anyone looks at the data.

• Sell Data to AI Labs

  Labs buy differently from product companies: narrower specifications, smaller volumes, and a higher bar on provenance. What a supplier should expect from that process.

• Sell Data to OpenAI

  How large labs procure data, what public routes actually exist, and what a supplier should realistically expect. This page claims no relationship with OpenAI.

• Sell My Own Data

  What an individual actually has that AI companies pay for, what the offers promising money for your personal data really are, and the routes where one person does get paid.

• Is Selling Data Profitable

  For most data, no — it is a commodity with commodity margins. For data that is genuinely hard to collect, yes. The difference between the two is the whole business.

• Sell Speech Data

  Speech is our home category, so this page can be specific: what buyers ask for, what a supplier needs to have, and which kinds of audio are unsellable no matter how good they sound.

• Sell Training Data

  Training data is a category, not a product. Some of it is free, some of it is a service business, and the part that is neither is where suppliers get paid.

• Voice Data Supplier

  For studios, agencies, and teams that can produce voice recordings to a specification — what buyers check, how repeat work actually arrives, and what ends a supplier relationship.

• Data Supplier Program

  Supplier programs exist across the data industry. What they actually are, what to check before joining one, and how our own supplier onboarding works — no portal, no registry.