Kendo AI and Speakr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Kendo AI: AI sales training and management platform with human-like roleplay, automated call scoring, and targeted coaching. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. 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 Kendo AI when practicing cold calls and discovery against tailored ai prospects matters most, and Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI sales training and management platform with human-like roleplay, automated call scoring, and targeted coaching.
Analysis of winning call recordings to surface success patternsAnalytics on ramp time, close rates, and coaching efficiencyAutomated call review using custom scorecards (BANT, MEDDPICC, etc.)
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Configurable AI models compatible with OpenAI, OpenRouter, and local modelsCustomizable summaries plus an action-items view for decisions and tasksMulti-user support with SSO, group workspaces, and admin dashboard
Kendo AI is a free tier with paid upgrades (freemium); Speakr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Human-like AI roleplay with a custom prospect builder
Self-hosted transcription with automatic language detection
Standout feature
Automated call review using custom scorecards (BANT, MEDDPICC, etc.)
Optional AI-powered speaker diarization
Team usage
Analysis of winning call recordings to surface success patterns
Customizable summaries plus an action-items view for decisions and tasks
Integrations
Centralized context system for calls, scripts, and objections
Per-recording chat and an Inquire Mode for semantic search across the whole library
Languages & capture
Targeted coaching assignments based on individual rep weaknesses
System and browser-tab audio capture
Best-fit workflow
Multi-language and multi-accent practice support
Multi-user support with SSO, group workspaces, and admin dashboard
Best for
Kendo AI
Choose Kendo AI if you need practicing cold calls and discovery against tailored ai prospects — strengths include unifies roleplay practice, live-call scoring, and coaching in one platform.
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
Pros & cons
Kendo AI
+ Unifies roleplay practice, live-call scoring, and coaching in one platform
+ Custom prospect builder allows highly specific practice scenarios
- Methodology-based scorecards require setup to reflect a team's process
Speakr
+ Runs entirely on the user's own infrastructure for full data control
+ Action-item extraction and per-recording chat go beyond plain transcripts
- Current releases are alpha-stage and may not be production-stable
FAQ
Is Kendo AI or Speakr better for AI meeting notes?
It depends on your workflow. Kendo AI is strong for practicing cold calls and discovery against tailored ai prospects, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
How do Kendo AI and Speakr compare on price?
Kendo AI is a free tier with paid upgrades and Speakr 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 Kendo AI and Speakr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.