Breyta
Breyta is an AI-driven platform that swiftly analyzes qualitative data like audio, video, and documents, delivering reliable, evidence-based insights to accelerate research and decision-making.
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Introduction
Breyta Overview
Breyta is an AI assistant tailored for research, enabling fast analysis of diverse qualitative data such as video, audio, transcripts, and PDFs. It automatically transcribes recordings, synthesizes insights from multiple files at once, and allows for in-depth, adaptable questioning to detect trends and address research queries with precision. The tool prioritizes verifiable outcomes by including direct quotes and source citations, reducing inaccuracies. With robust privacy safeguards like SOC 2 Type 2 compliance and European data hosting, Breyta aids researchers, UX designers, and product teams in optimizing qualitative analysis workflows and scaling efficiently.
Key Features
- Simultaneous Multi-File Analysis: Process unlimited files concurrently for scalable insight synthesis from extensive qualitative datasets.
- Automated Transcription and Language Recognition: Videos and audio files are transcribed automatically with speaker detection, supporting over 36 languages.
- Evidence-Supported Findings: Every insight is grounded in direct quotes and data references, ensuring clarity and reliability.
- Interactive AI Assistant: Pose any research question, add context, and adjust queries to obtain accurate, practical responses.
- Enhanced Privacy and Security: SOC 2 Type 2 certified, data stored in Europe, automatic deletion after one year, and limited personal data in outputs.
- Broad Data Format Compatibility: Works with various file types including video, audio, PDF, DOCX, CSV, and text for holistic research.
Use Cases
- User Research Analysis: Rapidly derive key insights and behavior patterns from numerous interview or user test recordings.
- UX and Product Team Support: Consolidate feedback and qualitative data to guide product enhancements and user experience improvements.
- Market Research: Examine large qualitative datasets from focus groups, surveys, and interviews to spot emerging trends.
- Academic and Social Science Studies: Efficiently handle and analyze qualitative data for evidence-driven results and publications.
- Customer Support and Sales Call Evaluation: Detect frequent issues, customer emotions, and improvement opportunities from call recordings to boost operations.
