Koji and Pluely 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. 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. 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 Pluely when getting live transcription and ai assistance during meetings without a visible bot in the call 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.
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.
Koji 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 | Koji | Pluely |
|---|---|---|
| Core capability | AI interviewer that runs asynchronous voice and text discovery conversations at scale | Bot-free capture of system audio and microphone for live transcription |
| Standout feature | AI research agent that drafts research goals and interview guides from a brief | Always-on-top overlay app for macOS, Windows, and Linux |
| Team usage | Automatic per-interview analysis with key moments and sentiment | Bring-your-own-key support for many LLMs (OpenAI, Claude, Gemini, Grok, Mistral, Cohere, Ollama, custom) |
| Integrations | Cross-interview synthesis into study-wide themes, patterns, and recommendations | Multiple speech-to-text providers (Whisper, Deepgram, ElevenLabs, Groq, Azure, and others) |
| Languages & capture | Insights traceable back to specific participant quotes | Lightweight (~10MB) and fast to launch |
| Best-fit workflow | MCP integrations with Claude, ChatGPT, Cursor, and Notion | Open source under GPL with optional local processing via Ollama |
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.
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.
Koji
Pluely
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, 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.
Koji 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 and the budget is justified.