Enthu.AI: Enthu.AI is a conversation intelligence platform that transcribes, auto-scores, and analyzes contact-center and sales calls for quality assurance and agent coaching. joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Enthu.AI when auto-scoring contact-center agent calls for quality assurance and compliance matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Run both through a week of actual calls to see which suits your workflow.
Enthu.AI is a conversation intelligence platform that transcribes, auto-scores, and analyzes contact-center and sales calls for quality assurance and agent coaching.
Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP.
Enthu.AI is a conversation intelligence and quality-assurance platform built for contact centers and calling teams across industries such as financial services, insurance, healthcare, and utilities. It transcribes every customer conversation into searchable speech-to-text with speaker labels and timestamps, then layers automated analysis on top: GenAI-powered auto-QA that evaluates calls without manual review, customizable scorecards that score agents on parameters like empathy, compliance, and script adherence, and AI summaries that surface key points and next steps. The platform also provides sentiment detection, a searchable call library for storing and organizing recordings, dashboards and reporting to spot trends, and personalized coaching tools for improving agent performance. PII redaction automatically removes sensitive data for privacy and compliance, and the product connects to existing contact-center stacks through 30+ integrations (such as NICE CXone, Five9, Salesforce, RingCentral, and Aircall). It is aimed at QA managers, sales leaders, and compliance teams who want to evaluate full call volume rather than a manual sample.
Best suited for
joinly is an open-source middleware project (by joinly-ai) that makes meetings accessible to AI agents. It runs as a Model Context Protocol (MCP) server that equips any agent with the tools to join a live video call, capture a real-time transcript, and interact by voice or chat during the meeting. Rather than being a finished notetaker app, joinly is a framework developers use to build interactive meeting agents that can listen, answer, search the web, draft documents, and post chat messages while the meeting is in progress. It works cross-platform across Google Meet, Zoom, and Microsoft Teams (and browser-based calls), and is model-agnostic, supporting OpenAI, Anthropic, and local models through Ollama. Speech-to-text and text-to-speech are modular, with Whisper or Deepgram for transcription and Kokoro, ElevenLabs, or Deepgram for synthesis. The project is MIT licensed and deployed via Docker (with a separate CUDA GPU image), giving teams full data sovereignty. The MCP server exposes join/leave controls, transcript and participant access, audio control, chat messaging, and video snapshots, making it a building block for custom, privacy-first meeting automation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Enthu.AI is a free tier with paid upgrades (paid); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Enthu.AI | joinly |
|---|---|---|
| Core capability | Speech-to-text transcription of calls with speaker labels and timestamps | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | GenAI-powered automated QA and call scoring across full call volume | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Customizable scorecards for empathy, compliance, and script adherence | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | AI-generated call summaries extracting key points and next steps | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Sentiment analysis and agent coaching dashboards | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | PII redaction and 30+ contact-center integrations (NICE CXone, Five9, Salesforce, RingCentral, Aircall) | Docker-based self-hosting with optional CUDA GPU image |
Enthu.AI
Choose Enthu.AI if you need auto-scoring contact-center agent calls for quality assurance and compliance — strengths include automates qa across 100% of calls instead of a small manual sample.
joinly
Choose joinly if you need building custom ai meeting agents that answer questions and run tasks during live calls — strengths include fully open source (mit) and self-hostable for complete data control.
Enthu.AI
joinly
It depends on your workflow. Enthu.AI is strong for auto-scoring contact-center agent calls for quality assurance and compliance, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Enthu.AI is a free tier with paid upgrades and joinly 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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