Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Luster: AI Predictive Enablement platform that pairs realistic sales roleplay with live-call analysis to find and close rep skill gaps. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Luster when identifying which reps are at risk of underperforming on upcoming deals 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.
AI Predictive Enablement platform that pairs realistic sales roleplay with live-call analysis to find and close rep skill gaps.
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
Luster is a sales enablement platform that describes its approach as Predictive Enablement, combining AI-powered roleplay practice with analysis of real sales conversations. Reps rehearse high-stakes scenarios such as discovery calls and objection handling against AI buyer personas tuned to different sales stages, personas, and deal sizes, and receive feedback designed to surface where they are likely to struggle before those weaknesses show up in live deals. The platform pairs this practice environment with a live-call analysis capability the company calls EchoIQ, which reviews actual customer calls to detect how well reps apply the skills they have been practicing and where execution gaps remain. For managers and enablement leaders, Luster provides predictive insights into skill readiness, prescriptive guidance for onboarding and hiring, certification workflows, and AI-assisted coaching so that practice can be scaled across a go-to-market team. Luster is aimed at sales reps, frontline managers, and enablement teams who want to connect roleplay performance to real revenue outcomes rather than treating training as a one-off event. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Luster is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Luster |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | AI roleplay environment for rehearsing discovery, objection handling, and other high-stakes scenarios |
| Standout feature | Data tagging and note organization | Buyer personas configurable by sales stage, persona type, and deal size |
| Team usage | Theme and pattern identification across research | EchoIQ live-call analysis that reviews real customer conversations for skill application |
| Integrations | Insight creation and report generation | Predictive insights that flag rep readiness risk and skill gaps |
| Languages & capture | Consistent taxonomy across projects for large repositories | AI-assisted coaching tools for managers to scale feedback |
| Best-fit workflow | Multi-team collaboration with research history and archival | Certification and onboarding workflows for enablement teams |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Luster
Choose Luster if you need letting sdrs and aes rehearse cold calls and discovery conversations with ai buyers before live calls — strengths include connects practice performance with analysis of real live calls rather than roleplay alone.
Aurelius
Luster
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Luster is strong for letting sdrs and aes rehearse cold calls and discovery conversations with ai buyers before live calls. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Luster 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.
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