Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Némos: An Apple-focused "second brain" app that records and auto-transcribes voice memos and meeting notes entirely on-device using Apple Intelligence. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Némos when capturing spoken thoughts as voice memos and converting them to searchable, formatted notes 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.
An Apple-focused "second brain" app that records and auto-transcribes voice memos and meeting notes entirely on-device using Apple Intelligence.
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
Némos is a personal knowledge management ("second brain") app for the Apple ecosystem that captures and automatically organizes many content types, including voice memos that it records and transcribes on-device. Rather than joining video calls as a bot, it captures audio directly from the iPhone or Apple Watch and converts speech to text locally using Apple Intelligence Foundation Models, so data stays on the device. Transcribed audio becomes fully searchable, and recordings can be turned into formats such as bullet points, summaries, meeting notes, emails, or journal entries. Beyond voice, Némos handles screenshots with OCR, links, PDFs, notes, photos, and more, naming and filing them automatically without manual tagging. It runs on iPhone and iPad (with Apple Watch recording, Siri commands, and Chrome, Safari, and Firefox extensions), and offers two-way sync with Apple Reminders, Calendar, Notes, Photos, Files, Maps, and iCloud. It is aimed at students, researchers, writers, and professionals who want private, low-effort capture of voice and other notes. As of mid-2026 it is in private beta.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Némos is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Némos |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | On-device voice memo recording and automatic speech-to-text transcription |
| Standout feature | Data tagging and note organization | Local AI processing via Apple Intelligence Foundation Models (data stays on device) |
| Team usage | Theme and pattern identification across research | Auto-formatting of recordings into summaries, meeting notes, bullets, email, or journal entries |
| Integrations | Insight creation and report generation | Full-text search across transcribed audio and other captured content |
| Languages & capture | Consistent taxonomy across projects for large repositories | Apple Watch voice recording and Siri voice command support |
| Best-fit workflow | Multi-team collaboration with research history and archival | Two-way sync with Apple Reminders, Calendar, Notes, Photos, Files, Maps, and iCloud |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Némos
Choose Némos if you need recording and transcribing in-person meetings or lectures on an iphone or apple watch — strengths include privacy-focused: voice transcription and ai run fully on-device, with no cloud upload.
Aurelius
Némos
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Némos is strong for recording and transcribing in-person meetings or lectures on an iphone or apple watch. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Némos is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
More head-to-head comparisons involving Aurelius and Némos.
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.