Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Natively: A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support. 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 Natively when running a fully local, offline meeting assistant via ollama for sensitive discussions matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support.
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
Natively is an open-source AI meeting assistant maintained by the Natively-AI-assistant project and actively developed through 2025 and 2026. It runs as a desktop application on macOS (Apple Silicon and Intel) and Windows, capturing meeting audio directly on the device rather than joining calls as a visible participant. Built with a Rust-based audio pipeline, it provides low-latency real-time transcription and generates structured, searchable meeting notes that include action items, decisions, and key moments, alongside an on-demand AI assist triggered by a keyboard shortcut. It offers several meeting modes for different contexts and works alongside major platforms such as Zoom, Google Meet, and Microsoft Teams. Natively is bring-your-own-key and supports providers including Google Gemini, OpenAI, Anthropic Claude, and Groq, plus a fully local option through Ollama so transcription and analysis can stay offline on the user's machine; meeting data is stored locally by default. As an indie, community-driven tool it positions itself as a free alternative to paid commercial assistants, though it relies on user-supplied API keys for cloud models and is still evolving. Verify current features and any 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); Natively is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Natively |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Real-time transcription with a low-latency Rust-based audio pipeline |
| Standout feature | Data tagging and note organization | Structured, searchable meeting notes with action items and decisions |
| Team usage | Theme and pattern identification across research | On-demand AI assist via keyboard shortcut during calls |
| Integrations | Insight creation and report generation | Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq |
| Languages & capture | Consistent taxonomy across projects for large repositories | Fully local/offline option through Ollama with local data storage by default |
| Best-fit workflow | Multi-team collaboration with research history and archival | Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Natively
Choose Natively if you need capturing real-time transcripts and structured notes from calls without a visible bot — strengths include free and open source with active development.
Aurelius
Natively
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Natively is strong for capturing real-time transcripts and structured notes from calls without a visible bot. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Natively is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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