CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. 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. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and Natively when running a fully local, offline meeting assistant via ollama for sensitive discussions matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
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.
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
Natively is an open-source AI meeting assistant maintained by the Natively-AI-assistant project and actively developed through 2025 and 2026. It runs as a desktop application on macOS (Apple Silicon and Intel) and Windows, capturing meeting audio directly on the device rather than joining calls as a visible participant. Built with a Rust-based audio pipeline, it provides low-latency real-time transcription and generates structured, searchable meeting notes that include action items, decisions, and key moments, alongside an on-demand AI assist triggered by a keyboard shortcut. It offers several meeting modes for different contexts and works alongside major platforms such as Zoom, Google Meet, and Microsoft Teams. Natively is bring-your-own-key and supports providers including Google Gemini, OpenAI, Anthropic Claude, and Groq, plus a fully local option through Ollama so transcription and analysis can stay offline on the user's machine; meeting data is stored locally by default. As an indie, community-driven tool it positions itself as a free alternative to paid commercial assistants, though it relies on user-supplied API keys for cloud models and is still evolving. Verify current features and any policies on the official site. Pricing varies by plan. Check the official website for current pricing.
Best suited for
CallMiner is custom pricing (contact sales); Natively is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallMiner | Natively |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | Real-time transcription with a low-latency Rust-based audio pipeline |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | Structured, searchable meeting notes with action items and decisions |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | On-demand AI assist via keyboard shortcut during calls |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | Fully local/offline option through Ollama with local data storage by default |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot |
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.
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.
CallMiner
Natively
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while Natively is strong for capturing real-time transcripts and structured notes from calls without a visible bot. Both transcribe and summarize meetings.
CallMiner is custom pricing and Natively is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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