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    Human-led labeling for text, audio, image, and video

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    High-quality multilingual content for global AI systems

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    Global, diverse datasets for AI training at scale

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Train AI Models for Real-World Business Applications

With 95,000 hours of business meeting data from the top-three global meeting platforms, you can fine-tune and train AI models with real-world scenarios. Enhance customer service, optimize workflows and improve decision-making and collaboration.
Approximately 70% of labeled  data is human-reviewed (excluding  transcription data), ensuring accuracy  and reliability.

Quality Assurance

Approximately 70% of labeled data is human-reviewed (excluding transcription data), ensuring accuracy and reliability.
Detailed meeting name, organizer  details, conference type, duration,  speaker count, ASR transcription, action  items, recaps and speaker mapping.

Annotations & Metadata

Detailed meeting name, organizer details, conference type, duration, speaker count, ASR transcription, action items, recaps and speaker mapping.
160K+ live individual sessions, including interviews and standups, covering legal, marketing, finance and engineering with gender-balanced corporate knowledge workers aged 21+.

Breadth & Depth

160K+ live individual sessions, including interviews and standups, covering legal, marketing, finance and engineering with gender-balanced corporate knowledge workers aged 21+.
Comprehensive action items and  recaps included for enhanced usability.

Action Items & Recaps

Comprehensive action items and recaps included for enhanced usability.

Business AI Solutions Use Cases

Automated Meeting Summarization, Action Item Extraction and Tracking

Automated Meeting Summarization, Action Item Extraction and Tracking

Summarize meetings, highlighting key points, decisions, and action items for quick, accessible overviews. Extract and track action items, assigning tasks to individuals and improving project management, accountability, and follow-through.

Voice and Speaker Recognition

Voice and Speaker Recognition

Training AI systems on this data enhances their ability to accurately identify and differentiate between speakers, even in overlapping conversations. This improves transcription accuracy and enables personalized interaction in virtual assistants, thereby enhancing user experience and productivity.

Content Recommendation and Personalization

Content Recommendation and Personalization

AI models can recommend relevant follow-up materials, training resources, or next steps based on meeting content. This enhances learning and development by providing personalized content tailored to the needs and interests of meeting participants, improving engagement and knowledge retention.

LLM Fine-Tuning for Contextual Understanding

LLM Fine-Tuning for Contextual Understanding

Fine-tuning large language models (LLMs) using meeting transcripts enhances their ability to understand context-specific jargon, decision-making processes, and organizational culture. This improves the relevance and accuracy of AI-generated responses in corporate settings, enabling more effective conversational agents and tools that align with specific business needs and communication styles.

Sentiment Analysis/Mood Tracking & Multi-Modal Interaction

Sentiment Analysis/Mood Tracking & Multi-Modal Interaction

Assess the emotional tone of meetings, revealing team dynamics and employee sentiment to support timely interventions. By combining audio, video, and text data, leverage a multi-modal approach that analyzes both verbal and non-verbal cues, improving communication understanding and collaboration strategies for better decision-making.

Explore Business AI Solution Datasets

Diverse Online Business Meetings

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Defined.ai Datasets Make the Difference

With 99K+ hours of business meeting data at your disposal, the potential to train and fine-tune various AI models is immense.

Whether you are looking to enhance meeting efficiency, improve customer interactions, or streamline operations, this dataset provides the foundation you need for accurate and reliable outcomes. And every dataset is secured and sold following strict adherence to ethical and legal standards.

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