Quantified and Speakr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Quantified: AI sales coaching and role-play platform for regulated industries, with simulations plus pre-call prep, post-call reflection, and live-call analysis. 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 Quantified when onboarding and certifying reps in life sciences or financial services 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 coaching and role-play platform for regulated industries, with simulations plus pre-call prep, post-call reflection, and live-call analysis.
Adaptive AI that personalizes coaching to each repAI Field Coach for pre-call prep, post-call reflection, and live-call analysisAI Readiness Coach for onboarding and certification
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
Quantified 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.
Self-hosted transcription with automatic language detection
Standout feature
AI Field Coach for pre-call prep, post-call reflection, and live-call analysis
Optional AI-powered speaker diarization
Team usage
AI Readiness Coach for onboarding and certification
Customizable summaries plus an action-items view for decisions and tasks
Integrations
Compliance-aware guardrails for regulated selling
Per-recording chat and an Inquire Mode for semantic search across the whole library
Languages & capture
Adaptive AI that personalizes coaching to each rep
System and browser-tab audio capture
Best-fit workflow
Insights agent reporting on readiness, proficiency, and adherence
Multi-user support with SSO, group workspaces, and admin dashboard
Best for
Quantified
Choose Quantified if you need onboarding and certifying reps in life sciences or financial services — strengths include purpose-built for compliance-sensitive regulated industries.
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
Quantified
+ Purpose-built for compliance-sensitive regulated industries
+ Covers the full rep lifecycle from onboarding to field coaching
- Enterprise and regulated-industry focus may not fit small generalist teams
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 Quantified or Speakr better for AI meeting notes?
It depends on your workflow. Quantified is strong for onboarding and certifying reps in life sciences or financial services, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
How do Quantified and Speakr compare on price?
Quantified 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 Quantified and Speakr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.