Breyta
AI-powered qualitative data analysis tool delivering instant, evidence-backed insights from multiple unstructured data files.
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Product Overview
What is Breyta?
Breyta is a research-focused AI assistant designed to rapidly analyze qualitative data such as video, audio, transcripts, PDFs, and more. It automatically transcribes recordings, synthesizes insights across multiple files simultaneously, and supports deep, flexible querying to uncover patterns and answer research questions with high accuracy. The platform emphasizes evidence-backed results by providing verbatim quotes and references, minimizing hallucinations. With strong privacy and security measures, including SOC 2 Type 2 certification and European data storage, Breyta serves researchers, UX designers, and product teams aiming to streamline qualitative research workflows and scale analysis efficiently.
Key Features
Multi-File Simultaneous Analysis
Analyze unlimited files at once, enabling scalable synthesis of insights from large qualitative datasets.
Automatic Transcription and Language Detection
Uploads of video or audio are auto-transcribed with speaker identification and support for over 36 languages.
Evidence-Backed Insights
All findings are supported by direct quotes and references from source data, ensuring transparency and trust.
Interactive AI Assistant
Users can ask any research question, provide context, and refine queries to get precise, actionable answers.
Strong Privacy and Security
SOC 2 Type 2 certified with data stored in Europe, automatic data deletion after one year, and PII minimization in outputs.
Cross-Format Data Support
Supports diverse data types including video, audio, PDF, DOCX, CSV, and text files for comprehensive research analysis.
Use Cases
- User Research Analysis : Quickly extract key insights and user behavior patterns from multiple interview recordings or user tests.
- UX and Product Teams : Synthesize feedback and qualitative data to inform product decisions and improve user experience.
- Market Research : Analyze large volumes of qualitative data from focus groups, surveys, and interviews to identify trends.
- Academic and Social Science Research : Efficiently process and analyze qualitative datasets for evidence-based conclusions and publications.
- Customer Support and Sales Call Analysis : Identify common issues, customer sentiments, and opportunities from recorded calls for operational improvements.
FAQs
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