CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and Koji when building personas and validating early product concepts at scale matters most. Run both through a week of actual calls to see which suits your workflow.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
CallMiner is an enterprise speech and conversation analytics platform, built around its Eureka product, that captures and analyzes customer interactions across voice and digital channels. It records and transcribes calls into text, then applies acoustic and linguistic AI to surface sentiment, emotion, intent, and behavioral signals — quantifying frustration, effort, satisfaction, and confidence rather than sampling a fraction of conversations. Designed for contact centers and large enterprises, it spans modules for analysis, automated agent scoring and coaching, real-time guidance during live calls, automated redaction of sensitive data, multilingual translation, and interactive dashboards. CallMiner ingests voice, chat, email, surveys, social media, and screen recordings, applying scoring models to isolate compliance risks, fraud, quality issues, and sales outcomes. It also includes generative and agentic AI features such as automatic category creation, contact summarization, and natural-language discovery. The platform is used across healthcare, finance, retail, insurance, and BPO sectors, and was named a leader in The Forrester Wave: Conversation Intelligence Solutions for Contact Centers, Q2 2025.
Best suited for
Koji is an AI-native customer research platform built around an AI interviewer that conducts natural, in-depth conversations with research participants at scale, removing the need to schedule and moderate live discovery calls one at a time. Teams describe what they want to learn, and an AI research agent helps define goals and generate an interview guide. The AI then runs the interviews asynchronously in either a text chat or spoken voice format, asking adaptive follow-up questions and probing for depth as a human moderator would. Each completed conversation is analyzed automatically for key moments and sentiment, and findings are synthesized across all interviews into study-wide reports surfacing themes, patterns, and recommendations, with every insight traceable back to the participant quote that supports it rather than presented as a black-box summary. Koji is used for exploratory work such as discovery, persona development, and market strategy, as well as concept and messaging testing. The product is operated from Amsterdam with EU data residency and GDPR compliance, offers a freemium entry point, and integrates with tools including Claude, ChatGPT, Cursor, and Notion via an MCP server. Pricing varies by plan. Check the official website for current pricing.
Best suited for
CallMiner is custom pricing (contact sales); Koji is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallMiner | Koji |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | Insights traceable back to specific participant quotes |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | AI interviewer that runs asynchronous voice and text discovery conversations at scale |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | AI research agent that drafts research goals and interview guides from a brief |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | Automatic per-interview analysis with key moments and sentiment |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | Cross-interview synthesis into study-wide themes, patterns, and recommendations |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | MCP integrations with Claude, ChatGPT, Cursor, and Notion |
CallMiner
Choose CallMiner if you need contact centers monitoring agent performance and automating quality scoring and coaching — strengths include analyzes 100% of interactions rather than a sampled subset, reducing blind spots.
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.
CallMiner
Koji
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while Koji is strong for running exploratory discovery interviews without scheduling live calls. Both transcribe and summarize meetings.
CallMiner is custom pricing and Koji is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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