Loka Note and Quantified are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Loka Note: AI meeting notes tool built for Nigerian users, transcribing and summarizing conversations across English, Hausa, Yoruba, and Nigerian Pidgin. 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 Loka Note when capturing client meetings conducted in mixed english and nigerian languages 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 meeting notes tool built for Nigerian users, transcribing and summarizing conversations across English, Hausa, Yoruba, and Nigerian Pidgin.
Action item extraction and structured summariesAsk Loka natural-language chat over past meeting transcriptsBrowser-based recording with no bot, app, or plugin required
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
Loka Note 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.
Transcription and summaries with support for English, Hausa, Yoruba, and Nigerian Pidgin
AI role-play for high-stakes sales conversations
Standout feature
Handling of code-switching between languages within a conversation
AI Field Coach for pre-call prep, post-call reflection, and live-call analysis
Team usage
Browser-based recording with no bot, app, or plugin required
AI Readiness Coach for onboarding and certification
Integrations
Capture of both remote calls and in-person meetings
Compliance-aware guardrails for regulated selling
Languages & capture
Action item extraction and structured summaries
Adaptive AI that personalizes coaching to each rep
Best-fit workflow
Ask Loka natural-language chat over past meeting transcripts
Insights agent reporting on readiness, proficiency, and adherence
Best for
Loka Note
Choose Loka Note if you need capturing client meetings conducted in mixed english and nigerian languages — strengths include strong support for nigerian languages including mixed-language speech.
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
Loka Note
+ Strong support for Nigerian languages including mixed-language speech
+ Works without a bot joining the call, which suits confidential discussions
- Language focus is tailored to Nigeria rather than broad global coverage
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 Loka Note or Quantified better for AI meeting notes?
It depends on your workflow. Loka Note is strong for capturing client meetings conducted in mixed english and nigerian languages, while Quantified is strong for onboarding and certifying reps in life sciences or financial services. Both transcribe and summarize meetings.
How do Loka Note and Quantified compare on price?
Loka Note 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 Loka Note and Quantified?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.