The AI industry doesn't lack data. It lacks the right kind. Studio recordings and synthetic data don't capture how real people actually speak, move and behave, and web-scraped data brings unclear provenance. The signal that frontier and multimodal models need most, natural data from real people in real conditions. is exactly what's hardest to find.
What we collect. NCSpeech designs and runs multimodal data collection across:
• Audio: spontaneous and conversational speech, multi-speaker dialogue, accents and code-switching, real acoustic conditions, transcription, diarization, intent and emotion labeling.
• Video: real-world scenes, actions and objects, with audio and video synchronized for multimodal tasks.
• Text: multilingual classification, dialogue, instruction data, entity labeling and localization.
• Verification: human-in-the-loop validation and cross-checking across every modality.
Quality you can build on. This is not raw capture. Every dataset runs through our own pipeline: task design tailored to the use case, multi-stage validation, anti-fraud controls and a defined quality standard. All collection is conducted in compliance with strict data privacy guidelines and applicable regulations. We can share benchmark samples so teams can evaluate before any commitment.
Where we can collect. We focus on underrepresented, low-resource language markets, the kind of authentic emerging market data that's genuinely hard to source anywhere else. We're currently testing this approach in partnership with inDrive.
Let's talk If you're building AI that needs authentic, multilingual, real world data, we'd love to show you what we can do. Reach out to explore datasets, request a sample, or discuss a specific use case. → ds@ncspeech.org
What we collect. NCSpeech designs and runs multimodal data collection across:
• Audio: spontaneous and conversational speech, multi-speaker dialogue, accents and code-switching, real acoustic conditions, transcription, diarization, intent and emotion labeling.
• Video: real-world scenes, actions and objects, with audio and video synchronized for multimodal tasks.
• Text: multilingual classification, dialogue, instruction data, entity labeling and localization.
• Verification: human-in-the-loop validation and cross-checking across every modality.
Quality you can build on. This is not raw capture. Every dataset runs through our own pipeline: task design tailored to the use case, multi-stage validation, anti-fraud controls and a defined quality standard. All collection is conducted in compliance with strict data privacy guidelines and applicable regulations. We can share benchmark samples so teams can evaluate before any commitment.
Where we can collect. We focus on underrepresented, low-resource language markets, the kind of authentic emerging market data that's genuinely hard to source anywhere else. We're currently testing this approach in partnership with inDrive.
Let's talk If you're building AI that needs authentic, multilingual, real world data, we'd love to show you what we can do. Reach out to explore datasets, request a sample, or discuss a specific use case. → ds@ncspeech.org