Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Pluely: A lightweight open-source desktop AI meeting assistant that captures system audio for live transcription and on-call answers without joining as a visible bot. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Pluely when running a privacy-conscious, locally processed meeting helper via ollama 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.
A lightweight open-source desktop AI meeting assistant that captures system audio for live transcription and on-call answers without joining as a visible bot.
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
Pluely is an open-source AI meeting assistant created by independent developer Srikanthnani and released in 2025 as a privacy-first, bot-free alternative to commercial in-meeting copilots. Built with Tauri, the app is roughly 10MB and launches quickly, running as an always-on-top overlay on macOS (Apple Silicon and Intel), Windows, and Linux. Rather than sending a participant into your call, Pluely captures system audio and microphone input directly on your device, converts speech to text, and can surface AI responses and notes during a meeting, interview, or presentation. It is bring-your-own-key, so users connect their own provider credentials; it supports a wide range of large language models, including OpenAI, Anthropic Claude, Google Gemini, Grok, Mistral, Cohere, Ollama, and custom endpoints, alongside multiple speech-to-text engines such as Whisper, Deepgram, ElevenLabs, Groq, and Azure. Because it is GPL-licensed and fully inspectable, teams can audit or modify the code, and local model options via Ollama allow processing to stay on the machine. As an indie project it depends on external API keys for most capabilities and is still maturing. Confirm features and any usage policies on the official site. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Pluely is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Pluely |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Bot-free capture of system audio and microphone for live transcription |
| Standout feature | Data tagging and note organization | Always-on-top overlay app for macOS, Windows, and Linux |
| Team usage | Theme and pattern identification across research | Bring-your-own-key support for many LLMs (OpenAI, Claude, Gemini, Grok, Mistral, Cohere, Ollama, custom) |
| Integrations | Insight creation and report generation | Multiple speech-to-text providers (Whisper, Deepgram, ElevenLabs, Groq, Azure, and others) |
| Languages & capture | Consistent taxonomy across projects for large repositories | Lightweight (~10MB) and fast to launch |
| Best-fit workflow | Multi-team collaboration with research history and archival | Open source under GPL with optional local processing via Ollama |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Pluely
Choose Pluely if you need getting live transcription and ai assistance during meetings without a visible bot in the call — strengths include free and open source with fully inspectable code.
Aurelius
Pluely
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Pluely is strong for getting live transcription and ai assistance during meetings without a visible bot in the call. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Pluely 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 Pluely.
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.