Koji and Luster are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. Luster: AI Predictive Enablement platform that pairs realistic sales roleplay with live-call analysis to find and close rep skill gaps. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants workflows, shortlist Koji when running exploratory discovery interviews without scheduling live calls matters most, and Luster when letting sdrs and aes rehearse cold calls and discovery conversations with ai buyers before live calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
AI Predictive Enablement platform that pairs realistic sales roleplay with live-call analysis to find and close rep skill gaps.
Koji 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 | Koji | Luster |
|---|---|---|
| Core capability | AI interviewer that runs asynchronous voice and text discovery conversations at scale | AI roleplay environment for rehearsing discovery, objection handling, and other high-stakes scenarios |
| Standout feature | AI research agent that drafts research goals and interview guides from a brief | Buyer personas configurable by sales stage, persona type, and deal size |
| Team usage | Automatic per-interview analysis with key moments and sentiment | EchoIQ live-call analysis that reviews real customer conversations for skill application |
| Integrations | Cross-interview synthesis into study-wide themes, patterns, and recommendations | Predictive insights that flag rep readiness risk and skill gaps |
| Languages & capture | Insights traceable back to specific participant quotes | AI-assisted coaching tools for managers to scale feedback |
| Best-fit workflow | MCP integrations with Claude, ChatGPT, Cursor, and Notion | Certification and onboarding workflows for enablement teams |
Koji
Choose Koji if you need running exploratory discovery interviews without scheduling live calls — strengths include removes scheduling overhead by running many interviews in parallel and asynchronously.
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.
Koji
Luster
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, 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.
Koji 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 and the budget is justified.