Quantified and Skribby 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. Skribby: Developer-focused meeting bot API by Skribe VOF that deploys recording and transcription bots to Zoom, Microsoft Teams, and Google Meet with bring-your-own-key transcription. 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 Skribby when adding meeting recording and transcription to a saas product via api 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
Developer-focused meeting bot API by Skribe VOF that deploys recording and transcription bots to Zoom, Microsoft Teams, and Google Meet with bring-your-own-key transcription.
Bot authentication for joining restricted meetingsBring-your-own-key support for 10+ transcription providers (Deepgram, Whisper, AssemblyAI, Soniox, ElevenLabs)Meeting bots that join and record Zoom, Microsoft Teams, and Google Meet
Quantified is a free tier with paid upgrades (freemium); Skribby is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Meeting bots that join and record Zoom, Microsoft Teams, and Google Meet
Standout feature
AI Field Coach for pre-call prep, post-call reflection, and live-call analysis
Real-time transcription over WebSocket plus asynchronous transcripts
Team usage
AI Readiness Coach for onboarding and certification
Bring-your-own-key support for 10+ transcription providers (Deepgram, Whisper, AssemblyAI, Soniox, ElevenLabs)
Integrations
Compliance-aware guardrails for regulated selling
Webhook notifications for transcripts and bot events
Languages & capture
Adaptive AI that personalizes coaching to each rep
Speaker identification (diarization) and 30+ language support
Best-fit workflow
Insights agent reporting on readiness, proficiency, and adherence
Bot authentication for joining restricted meetings
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.
Skribby
Choose Skribby if you need adding meeting recording and transcription to a saas product via api — strengths include pay-as-you-go api with no monthly minimums or contracts.
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
Skribby
+ Pay-as-you-go API with no monthly minimums or contracts
+ Provider-agnostic transcription via bring-your-own-key across many engines
- Cloud-only managed service with no self-hosting or open-source option
FAQ
Is Quantified or Skribby 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 Skribby is strong for adding meeting recording and transcription to a saas product via api. Both transcribe and summarize meetings.
How do Quantified and Skribby compare on price?
Quantified is a free tier with paid upgrades and Skribby 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 Skribby?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.