Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Klu: AI meeting notetaker and automation platform that records, transcribes, and summarizes meetings, then logs outcomes and action items to CRMs and team tools. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Klu when teams that want meeting follow-ups auto-assigned and routed into slack or notion 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.
AI meeting notetaker and automation platform that records, transcribes, and summarizes meetings, then logs outcomes and action items to CRMs and team tools.
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
Klu (klu.so) is an AI meeting assistant that positions itself as a meeting automation platform for modern teams rather than a transcription-only tool. It captures meetings through a browser extension that can auto-join calls, a Mac desktop app, and offline capture for in-person conversations. During and after a meeting, Klu produces a transcript with speaker recognition, generates bullet-point summaries, surfaces action items, and supports custom note sections, alongside a smart-search and Ask AI capability for retrieving details from past conversations. A Deep Dive feature lets users ask questions that span multiple meetings, such as what was committed to with a particular account over a period of time. On the workflow side, Klu detects follow-ups, assigns them to owners with deadlines, and can push them into tools like Slack and Notion. For CRM users, Klu logs meeting outcomes to HubSpot, Salesforce, and Pipedrive on the relevant record, and connects to additional CRMs such as Attio and Affinity through Zapier, helping keep deals and accounts current without manual data entry. It maintains comparison pages against established notetakers and supports multilingual transcription. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Klu is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Klu |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Browser extension auto-join, Mac desktop app, and offline in-person capture |
| Standout feature | Data tagging and note organization | Real-time transcription with speaker recognition and multilingual support |
| Team usage | Theme and pattern identification across research | AI-generated bullet-point summaries, action items, and custom note sections |
| Integrations | Insight creation and report generation | Follow-up detection with owner assignment and deadlines, pushed to Slack or Notion |
| Languages & capture | Consistent taxonomy across projects for large repositories | CRM logging to HubSpot, Salesforce, and Pipedrive; Attio/Affinity via Zapier |
| Best-fit workflow | Multi-team collaboration with research history and archival | Cross-meeting Deep Dive and Ask AI search across past meetings |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Klu
Choose Klu if you need sales teams keeping hubspot, salesforce, or pipedrive records updated after calls — strengths include combines meeting notes with follow-up assignment and crm logging in one tool.
Aurelius
Klu
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Klu is strong for sales teams keeping hubspot, salesforce, or pipedrive records updated after calls. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Klu is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
More head-to-head comparisons involving Aurelius and Klu.
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.