Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. daisee: Daisee is an AI voice analytics and contact centre quality assurance platform that transcribes and automatically scores 100% of customer calls and chats. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and daisee when monitoring regulatory compliance and flagging high-risk customer calls in sectors like finance and insurance matters most. Try them side by side on real calls before deciding — needs vary by team.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
Daisee is an AI voice analytics and contact centre quality assurance platform that transcribes and automatically scores 100% of customer calls and chats.
Aurelius is a research repository and insights platform designed for UX researchers, designers, and product teams to manage qualitative research data end to end. It sits between a note-taking tool and a full research repository: teams bring in raw data such as interview notes and transcripts, organize and tag it, and the tool surfaces patterns and helps create reusable insights over time. Core capabilities include centralized storage for research data, note organization, data tagging, theme and pattern identification, and report generation, so findings can be referenced long after a study concludes. Aurelius is built with larger research organizations in mind, supporting consistent taxonomy across projects and keeping insights discoverable as repositories grow, while also enabling multi-team collaboration and research history and archival features. Researchers describe it as a low-effort way to tag and create insights they can reference in later product discussions. The platform positions itself as an alternative to fragmented approaches that rely on spreadsheets, Confluence, or Airtable for storing research. By centralizing qualitative data and making it searchable and well-organized, Aurelius aims to ensure that interview insights remain accessible and actionable across an organization. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisee is an Australian (Sydney-based) AI software company offering a cloud-based voice analytics and contact centre quality assurance platform. It captures audio by having organisations upload call recordings to a secure cloud endpoint, then transcribes the conversations using speech-to-text technology. Rather than reviewing only a sample of interactions, Daisee analyses 100 percent of calls and chat sessions, applying natural language processing and sentiment analysis to surface why customers are getting in touch. Core capabilities include a Programmable Scorecard that automates agent evaluation, daisee Essence for categorising call reasons and root-cause drivers, daisee Predictors for flagging likely complaints and churn, plus a Scorecard Builder and Report Builder for custom QA workflows. It supports both voice and chat channels and integrates with platforms such as Genesys Cloud, with partnerships listed including Microsoft and AWS. Daisee is aimed at contact centres and customer-experience teams in regulated sectors like financial services and insurance that need compliance monitoring, agent coaching insights, and automated quality assurance at scale.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); daisee is custom pricing (contact sales). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | daisee |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Automated transcription of 100% of voice calls |
| Standout feature | Data tagging and note organization | Programmable Scorecard for automated agent quality evaluation |
| Team usage | Theme and pattern identification across research | Sentiment analysis and emotion detection across interactions |
| Integrations | Insight creation and report generation | Compliance monitoring that flags high-risk and non-compliant calls |
| Languages & capture | Consistent taxonomy across projects for large repositories | Chat interaction analysis alongside voice |
| Best-fit workflow | Multi-team collaboration with research history and archival | Custom Report Builder and Scorecard Builder with industry templates |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
daisee
Choose daisee if you need automating quality assurance and agent scoring across an entire contact centre's call volume — strengths include analyses every interaction rather than a manual sample, reducing qa workload.
Aurelius
daisee
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while daisee is strong for automating quality assurance and agent scoring across an entire contact centre's call volume. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and daisee is custom pricing. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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