Grava AI and Koji are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Grava AI: Brazilian AI meeting recorder app (by MeuGuru) that records, transcribes with speaker identification, summarizes meetings and answers questions about recordings. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Grava AI when recording and transcribing in-person business meetings on a phone matters most, and Koji when running exploratory discovery interviews without scheduling live calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Brazilian AI meeting recorder app (by MeuGuru) that records, transcribes with speaker identification, summarizes meetings and answers questions about recordings.
AI-generated summaries with automatically detected topicsAudio recording with automatic transcription and speaker identificationAutomatic pause and resume during incoming phone calls
AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
AI interviewer that runs asynchronous voice and text discovery conversations at scaleAI research agent that drafts research goals and interview guides from a briefAutomatic per-interview analysis with key moments and sentiment
Grava AI is a free tier with paid upgrades (freemium); Koji is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Audio recording with automatic transcription and speaker identification
Insights traceable back to specific participant quotes
Standout feature
AI-generated summaries with automatically detected topics
AI interviewer that runs asynchronous voice and text discovery conversations at scale
Team usage
Interactive chat to ask questions about a recording
AI research agent that drafts research goals and interview guides from a brief
Integrations
To-Do feature that turns recordings into editable task lists
Automatic per-interview analysis with key moments and sentiment
Languages & capture
Professional PDF report generation
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Best-fit workflow
Automatic pause and resume during incoming phone calls
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Best for
Grava AI
Choose Grava AI if you need recording and transcribing in-person business meetings on a phone — strengths include transcription engine oriented to brazilian portuguese, with spanish and english support.
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.
Pros & cons
Grava AI
+ Transcription engine oriented to Brazilian Portuguese, with Spanish and English support
+ Mobile-first capture for in-person meetings, classes and conversations
- Mobile app focused rather than a desktop or meeting-platform integration
Koji
+ Removes scheduling overhead by running many interviews in parallel and asynchronously
- AI-moderated async format is less suited to deep rapport-driven live interviews
FAQ
Is Grava AI or Koji better for AI meeting notes?
It depends on your workflow. Grava AI is strong for recording and transcribing in-person business meetings on a phone, while Koji is strong for running exploratory discovery interviews without scheduling live calls. Both transcribe and summarize meetings.
How do Grava AI and Koji compare on price?
Grava AI is a free tier with paid upgrades and Koji is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both Grava AI and Koji?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.