Koji and Quantified are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. 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 Koji when running exploratory discovery interviews without scheduling live calls 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.
AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
AI interviewer that runs asynchronous voice and text discovery conversations at scaleAI research agent that drafts research goals and interview guides from a briefAutomatic per-interview analysis with key moments and sentiment
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
Koji 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.
AI interviewer that runs asynchronous voice and text discovery conversations at scale
AI role-play for high-stakes sales conversations
Standout feature
AI research agent that drafts research goals and interview guides from a brief
AI Field Coach for pre-call prep, post-call reflection, and live-call analysis
Team usage
Automatic per-interview analysis with key moments and sentiment
AI Readiness Coach for onboarding and certification
Integrations
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Compliance-aware guardrails for regulated selling
Languages & capture
Insights traceable back to specific participant quotes
Adaptive AI that personalizes coaching to each rep
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Insights agent reporting on readiness, proficiency, and adherence
Best for
Koji
Choose Koji if you need running exploratory discovery interviews without scheduling live calls — strengths include removes scheduling overhead by running many interviews in parallel and asynchronously.
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
Koji
+ Removes scheduling overhead by running many interviews in parallel and asynchronously
- AI-moderated async format is less suited to deep rapport-driven live interviews
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 Koji or Quantified better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Quantified is strong for onboarding and certifying reps in life sciences or financial services. Both transcribe and summarize meetings.
How do Koji and Quantified compare on price?
Koji 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 Koji and Quantified?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.