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Breyta helps user researchers and UX designers quickly analyze qualitative data from multiple sources to identify key themes and insights. It processes interviews, reports, and notes in seconds, providing accurate insights with supporting quotes.

Breyta is a qualitative research analysis tool built for teams that need to make sense of large volumes of conversation data. It positions itself as a go-to-market intelligence layer, helping user researchers, product managers, and academics turn interviews, reports, and notes into actionable insights. The platform uses AI to transcribe, analyze, and search across unlimited files, delivering evidence-backed answers with supporting quotes in seconds.

What sets Breyta apart is its focus on accuracy and trustworthiness. The tool is designed to minimize errors and hallucinations, a common pain point in AI-driven analysis. It supports over 36 languages, handles large datasets without performance degradation, and automatically updates insights as new data is uploaded. This makes it particularly useful for teams that need to iterate quickly on hypotheses or cross-check findings across multiple sources.

Pricing is straightforward and accessible. A free plan is available for ad hoc projects with limited transcription hours and project insights. Paid plans start at $20 per editor per month for Basic, which includes 20 file uploads and 50 AI answers, and $50 per editor per month for Pro, which adds SSO, 2FA, and dedicated CSM support. An annual Pro plan is also offered at $486 per seat per year. All plans come with a 14-day free trial, and a demo can be booked for a closer look.

Breyta is best suited for research and product teams that need fast, accurate analysis of qualitative data without the overhead of manual coding. It integrates with platforms like Salesforce and HubSpot, making it a natural addition to a GTM tech stack. However, it is not designed for quantitative analysis or data visualization, and users should be aware that PII redaction requires manual review. No public API is available, which may limit custom integrations.

Overall, Breyta delivers on its promise of scalable, trustworthy qualitative analysis. For teams drowning in interview transcripts and looking for a reliable way to surface insights, it offers a solid balance of speed, accuracy, and ease of use. The combination of a free tier, strong security certifications, and multi-language support makes it a competitive option in the qualitative research space.

Features

  • Instant answers from qualitative data
  • Accurate insights with minimal hallucination
  • Search across unlimited files
  • Deep analysis of long interviews
  • Evidence-backed answers with quotes
  • Secure data storage in Scandinavia
  • GDPR and SOC 2 certified security
  • Transcription in 36 languages
  • PII redaction

Pricing

'Free plan available. Basic: $20/editor/month, Pro: $50/editor/month, Pro annual: $486/seat/year'

Pros

  • Scalable analysis of large datasets
  • Accurate insights with minimal hallucination
  • Fast cross-checking of transcripts and insights

Cons

  • No quantitative analysis or data visualization
  • Manual review needed for PII redaction
  • No API listed

Best For

Research teams, product teams, and academia

Frequently Asked Questions

It processes interviews, reports, notes, and transcripts from multiple sources, allowing users to upload files in various formats.
The tool claims minimal hallucination and provides evidence-backed answers with supporting quotes, making it reliable for identifying key themes.
Yes, a free plan is available. Paid plans start at $20 per editor per month for the Basic tier, with a Pro annual option at $486 per seat per year.
No API is listed, but the tool can import data from various sources such as transcripts and reports directly.
It processes data locally or in the cloud, but manual review is needed for personally identifiable information redaction; specific security certifications are not mentioned.
Yes, it offers scalable analysis of large datasets and supports unlimited files, making it ideal for teams handling extensive qualitative research.
It significantly speeds up the process by identifying themes in seconds, but still requires human oversight for sensitive data and lacks quantitative analysis features.
The description does not specify support details, but typical SaaS tools offer email support and a knowledge base; users should check the website for current options.
Yes, it offers deep analysis of long interviews, quickly extracting insights and supporting quotes from extensive transcripts.
It is best for research teams, product teams, and academia that need to analyze qualitative data from user interviews and reports efficiently.
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