Copilot vs Breyta

Most move to Breyta for a purpose-built tool for qualitative data analysis

A more privacy friendly alternative to Copilot with data stored in Scandinavia that's focused on speeding up analysis with AI at scale.

SOC 2 Type II
Data stored in Scandinavia
PII Redaction
GDPR
We don’t train our own model

Trusted by research, UX and product teams at...

"Really like that it's more scalable than ChatGPT by analyzing a lot of files at the same time. Love that all insights are very accurate and are supported by quotes from the raw transcript automatically"

Mohamed Hersi
UX Designer & User Research Lead

Quick AI comparison guide

Breyta

Copilot

Purpose

Purpose-built for qualitative research — interviews, user tests, notes

Designed for productivity across Microsoft 365 (Word, Teams, Outlook, Excel, etc.)

Transcription support

Yes — high-accuracy transcription for uploaded audio and video files

Yes — transcribes Teams meetings and can summarize post-meeting

Verbatim data extraction

Yes — identifies direct quotes and creates structured “findings” per file

No — offers summary of key points, not structured verbatim findings

Answers synthesis

i

Yes — synthesizes findings into a single, coherent, evidence-backed answer

No synthesis step; can generate summaries, action items, and recaps

Citation traceability

i

Yes — answers link to verbatim quotes and exact timestamps in original audio/video

No — summaries are not traceable to specific moments or quotes

Playback integration

i

Yes — play back recordings at the exact moment a quote was pulled for tone/body language context

No — playback is not integrated with summarised content

Searchability / data archive

i

Centralised qualitative data repository with semantic search and AI Q&A

No research archive — files are scattered across Teams, OneDrive, SharePoint, etc.

Scale of analysis

i

Analyzes 30+ hours of conversation data in one project

Designed for meeting-by-meeting interaction; not optimized for batch qualitative analysis

Collaboration

i

Built for cross-functional teams — consistent insights across researchers, PMs, designers

Integrated into Microsoft 365 — good for sharing, but not research-specific workflow

Structured workflows

i

Yes — file-by-file analysis → findings → synthesis → citations

No — summarisation tools are general-purpose and embedded into apps like Word and Teams

Privacy and compliance

i

SOC 2 Type II, GDPR-compliant, PII redaction, no model training on user data

Microsoft 365-level compliance; enterprise-grade, but user data may be used for model improvements

Summary

Breyta is purpose-built for deep, evidence-based qualitative research. It offers structured analysis, verbatim quote extraction, timestamp-linked citations, and scalability across many hours of data — ideal for researchers and cross-functional teams.

Microsoft Copilot offers transcription and summarization within the flow of work, especially in Teams meetings, and is great for productivity and follow-ups, but lacks the structure, traceability, and synthesis needed for research-grade analysis.

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