Klu and Rafiki are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Klu: AI meeting notetaker and automation platform that records, transcribes, and summarizes meetings, then logs outcomes and action items to CRMs and team tools. Rafiki: AI sales intelligence platform that records, transcribes, and analyzes sales conversations to surface deal and coaching insights. 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 Klu when sales teams keeping hubspot, salesforce, or pipedrive records updated after calls matters most, and Rafiki when automatically capturing notes and action items from sales calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI meeting notetaker and automation platform that records, transcribes, and summarizes meetings, then logs outcomes and action items to CRMs and team tools.
AI-generated bullet-point summaries, action items, and custom note sectionsBrowser extension auto-join, Mac desktop app, and offline in-person captureCRM logging to HubSpot, Salesforce, and Pipedrive; Attio/Affinity via Zapier
AI sales intelligence platform that records, transcribes, and analyzes sales conversations to surface deal and coaching insights.
AI-generated meeting summaries and follow-up email draftsAI role play for rep training and a natural-language 'Ask Rafiki' query toolCall scoring against MEDDIC and BANT frameworks
Klu is a free tier with paid upgrades (freemium); Rafiki is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Browser extension auto-join, Mac desktop app, and offline in-person capture
Records and transcribes calls across Zoom, Google Meet, Teams, and phone
Standout feature
Real-time transcription with speaker recognition and multilingual support
AI-generated meeting summaries and follow-up email drafts
Team usage
AI-generated bullet-point summaries, action items, and custom note sections
Call scoring against MEDDIC and BANT frameworks
Integrations
Follow-up detection with owner assignment and deadlines, pushed to Slack or Notion
Deal and pipeline-level conversation analysis
Languages & capture
CRM logging to HubSpot, Salesforce, and Pipedrive; Attio/Affinity via Zapier
CRM integrations with Salesforce, HubSpot, Zoho, and Pipedrive
Best-fit workflow
Cross-meeting Deep Dive and Ask AI search across past meetings
AI role play for rep training and a natural-language 'Ask Rafiki' query tool
Best for
Klu
Choose Klu if you need sales teams keeping hubspot, salesforce, or pipedrive records updated after calls — strengths include combines meeting notes with follow-up assignment and crm logging in one tool.
Rafiki
Choose Rafiki if you need automatically capturing notes and action items from sales calls — strengths include combines note-taking, coaching, and revenue intelligence in one platform.
Pros & cons
Klu
+ Combines meeting notes with follow-up assignment and CRM logging in one tool
+ Multiple capture methods including offline in-person meetings
- Some CRM connections (e.g., Attio, Affinity) rely on Zapier rather than native integrations
Rafiki
+ Combines note-taking, coaching, and revenue intelligence in one platform
- Some advertised capabilities are listed as upcoming rather than fully shipped
FAQ
Is Klu or Rafiki better for AI meeting notes?
It depends on your workflow. Klu is strong for sales teams keeping hubspot, salesforce, or pipedrive records updated after calls, while Rafiki is strong for automatically capturing notes and action items from sales calls. Both transcribe and summarize meetings.
How do Klu and Rafiki compare on price?
Klu is a free tier with paid upgrades and Rafiki 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 Klu and Rafiki?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.