Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. MoAI Note: Korean AI meeting assistant that records, transcribes, and summarizes meetings with speaker separation, built by Furence Corp. in Seoul. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and MoAI Note when public-sector or regulated organizations needing on-premise meeting transcription matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
Korean AI meeting assistant that records, transcribes, and summarizes meetings with speaker separation, built by Furence Corp. in Seoul.
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
MoAI Note is an AI meeting assistant developed by the South Korean company Furence Corp. (based in Seoul) that records meetings, transcribes the audio, and automatically produces structured summaries. It is designed primarily around the Korean language and Korean business contexts, capturing audio either from in-person recordings or by connecting to online meeting platforms such as Zoom, Microsoft Teams, and Webex. The platform applies speaker diarization to attribute spoken segments to individual participants and supports speaker registration so recurring voices can be labeled. After a meeting, MoAI Note can generate summaries in several formats, including standard recaps, keyword-based notes, question-and-answer style notes, and to-do lists, and it offers translation across languages. A built-in MoAI Bot lets users query their meeting content conversationally using retrieval-augmented generation over stored transcripts. MoAI Note provides web, desktop, iOS, and Android applications, and offers an on-premise deployment option aimed at organizations with stricter security and data-residency requirements. It is suited to Korean teams, enterprises, and public-sector organizations that need accurate Korean meeting documentation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); MoAI Note is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | MoAI Note |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Automatic recording and transcription of meetings with Korean-language focus |
| Standout feature | Data tagging and note organization | Speaker diarization and speaker registration to label recurring participants |
| Team usage | Theme and pattern identification across research | Multiple summary formats (standard, keyword, Q&A, to-do list) |
| Integrations | Insight creation and report generation | MoAI Bot for querying meeting content via retrieval-augmented generation |
| Languages & capture | Consistent taxonomy across projects for large repositories | Integrations with Zoom, Microsoft Teams, and Webex |
| Best-fit workflow | Multi-team collaboration with research history and archival | On-premise deployment option for enterprise security |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
MoAI Note
Choose MoAI Note if you need korean enterprises documenting internal and client meetings — strengths include strong focus on korean-language transcription and meeting documentation.
Aurelius
MoAI Note
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while MoAI Note is strong for korean enterprises documenting internal and client meetings. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and MoAI Note is a free tier with paid upgrades. 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.
More head-to-head comparisons involving Aurelius and MoAI Note.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Auris AI: Southeast Asia–built AI platform for transcribing audio and video, generating subtitles, and producing meeting and lecture notes across regional languages. The right pick comes down to team size, budget, and the workflows you want to automate.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. AutoMemo: Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares. Below, they line up on price, capture method, and how each fits a real meeting stack.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Ava: AI live captioning and transcription app for accessibility, providing real-time captions for conversations and video meetings. This comparison weighs them on pricing, features, and everyday workflow fit.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Aviso AI: End-to-end AI revenue platform whose conversation intelligence records and analyzes sales calls and meetings for B2B revenue teams. The right pick comes down to team size, budget, and the workflows you want to automate.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. BB Recorder: A 100% local, no-bot meeting recorder for Mac and iOS that records, transcribes, and summarizes entirely on-device, built by the BuildBetter team. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Backtrack: An AI meeting intelligence tool for trade shows and hosted buyer events that captures 1:1 conversations and turns them into CRM-ready notes and insights. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Balto: Real-time AI guidance and agent-assist platform that coaches contact-center and sales agents live during calls. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. BarRaiser: AI interview intelligence platform that records interviews and coaches interviewers for better hiring. The right pick comes down to team size, budget, and the workflows you want to automate.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Basil AI: On-device AI note taker for Apple devices that transcribes and summarizes meetings entirely offline, with no cloud upload. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. BeAware Conference Captioning: AI real-time captioning and translation app for live in-person and hybrid events, with on-screen overlays and multilingual attendee access. Below, they line up on price, capture method, and how each fits a real meeting stack.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Bee: Wearable AI device that captures spoken conversations and turns them into transcripts, summaries, and reminders. This comparison weighs them on pricing, features, and everyday workflow fit.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Beey: Web app for automatic transcription, subtitle creation, translation, and live transcription. Below, they line up on price, capture method, and how each fits a real meeting stack.