Koji and Natively 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. 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. 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 Natively when capturing real-time transcripts and structured notes from calls without a visible bot 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 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.
Koji 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 | Koji | Natively |
|---|---|---|
| Core capability | AI interviewer that runs asynchronous voice and text discovery conversations at scale | Real-time transcription with a low-latency Rust-based audio pipeline |
| Standout feature | AI research agent that drafts research goals and interview guides from a brief | Structured, searchable meeting notes with action items and decisions |
| Team usage | Automatic per-interview analysis with key moments and sentiment | On-demand AI assist via keyboard shortcut during calls |
| Integrations | Cross-interview synthesis into study-wide themes, patterns, and recommendations | Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq |
| Languages & capture | Insights traceable back to specific participant quotes | Fully local/offline option through Ollama with local data storage by default |
| Best-fit workflow | MCP integrations with Claude, ChatGPT, Cursor, and Notion | Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot |
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.
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.
Koji
Natively
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Natively is strong for capturing real-time transcripts and structured notes from calls without a visible bot. Both transcribe and summarize meetings.
Koji 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.