Real conversations build real AI
We provide truly usable voice data from people's natural conversations.
Why overly clean data doesn't cut it
AI trained on data created in ideal environments — synthetic speech or studio recordings — cannot handle real-world noise and unpredictable situations.
The key lies in the "authenticity" of training data.
Data Types
We can collect and provide data in three formats tailored to your needs.
Free Talk (2 people)
Data from two users freely conversing. Back-channel responses, laughter, overlapping speech, and self-corrections are recorded as-is. Ideal for conversational AI and emotion analysis.
Topic Talk (1-2 people)
Data where users freely discuss a given theme like "something fun that happened recently." Useful for collecting vocabulary and expressions on specific topics.
Scenario / Task (1 person)
Conversation data for specific scenarios like "ask AI about the weather" or "give instructions to a robot." Recreates actual usage situations.
Use Cases
Our data can be used for developing and training various AI products.
Conversational AI / Voice Assistants
Train on natural dialogue data including intonation, hesitation, and emotional expression. Build AI that understands not just words but "how they were said" (social nuance).
Call Center AI
Cover long-tail edge cases that frequently occur in practice — user interruptions, self-corrections, and simultaneous speech — to enhance model robustness.
Mobility / Robotics
Voice command recognition in real environments with ambient noise. Developing the "ears" for machines to operate safely and adaptively in real-world acoustic spaces.
Request Sample Data
We distribute sample datasets through our contact form.
Check the data format and file structure first.