Natively and Quantified are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Natively: A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support. Quantified: AI sales coaching and role-play platform for regulated industries, with simulations plus pre-call prep, post-call reflection, and live-call analysis. 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 Natively when capturing real-time transcripts and structured notes from calls without a visible bot matters most, and Quantified when onboarding and certifying reps in life sciences or financial services matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support.
Bring-your-own-key support for Gemini, OpenAI, Claude, and GroqFully local/offline option through Ollama with local data storage by defaultOn-demand AI assist via keyboard shortcut during calls
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
Natively is a free tier with paid upgrades (freemium); Quantified is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Real-time transcription with a low-latency Rust-based audio pipeline
AI role-play for high-stakes sales conversations
Standout feature
Structured, searchable meeting notes with action items and decisions
AI Field Coach for pre-call prep, post-call reflection, and live-call analysis
Team usage
On-demand AI assist via keyboard shortcut during calls
AI Readiness Coach for onboarding and certification
Integrations
Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq
Compliance-aware guardrails for regulated selling
Languages & capture
Fully local/offline option through Ollama with local data storage by default
Adaptive AI that personalizes coaching to each rep
Best-fit workflow
Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot
Insights agent reporting on readiness, proficiency, and adherence
Best for
Natively
Choose Natively if you need capturing real-time transcripts and structured notes from calls without a visible bot — strengths include free and open source with active development.
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.
Pros & cons
Natively
+ Free and open source with active development
+ Can run entirely offline and store data locally for privacy
- Cloud models require user-supplied API keys and incur external usage costs
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
FAQ
Is Natively or Quantified better for AI meeting notes?
It depends on your workflow. Natively is strong for capturing real-time transcripts and structured notes from calls without a visible bot, while Quantified is strong for onboarding and certifying reps in life sciences or financial services. Both transcribe and summarize meetings.
How do Natively and Quantified compare on price?
Natively is a free tier with paid upgrades and Quantified 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 Natively and Quantified?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.