EvaluAgent: EvaluAgent is a contact-center quality assurance platform that automatically transcribes, scores, and analyzes customer conversations across calls, chats, emails, and tickets. 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. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist EvaluAgent when automatically score and audit 100% of customer service calls and chats for quality and compliance matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
EvaluAgent is a contact-center quality assurance platform that automatically transcribes, scores, and analyzes customer conversations across calls, chats, emails, and tickets.
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.
EvaluAgent is a UK-based quality assurance and performance-improvement platform built for contact centers, BPOs, QA leads, team managers, and frontline agents. It captures interactions from connected CCaaS, CRM, and helpdesk systems, then transcribes voice calls to text and processes chats, emails, and tickets so every conversation can be reviewed rather than just a manual sample. Its AutoQA engine uses customizable drag-and-drop scorecards to automatically evaluate interactions, applying auto-fail logic and weighting that mirror how a team grades quality. A conversation-intelligence layer adds sentiment analysis, reason-for-contact classification, intent detection, summarization, predictive metrics, and customer-vulnerability signals. Insights flow into coaching plans, performance tracking, and agent feedback. The platform also offers AI-agent observability to detect issues in automated conversations, plus calibration and reporting tools. It integrates with systems such as Genesys, Five9, NICE CXone, Talkdesk, Amazon Connect, Salesforce, and Zendesk, and lists enterprise security credentials including SOC 2 Type II and ISO 27001.
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
EvaluAgent 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 | EvaluAgent | joinly |
|---|---|---|
| Core capability | Automatic voice-call transcription with multi-language support | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | AutoQA scoring of 100% of conversations using customizable drag-and-drop scorecards | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Conversation intelligence: sentiment analysis, intent detection, and summarization | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Reason-for-contact classification and predictive metrics (CSAT/NPS/resolution) | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | AI-agent observability to flag hallucinations, missed intents, and quality issues | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Coaching workflows, calibration, and dashboards built on QA insights | Docker-based self-hosting with optional CUDA GPU image |
EvaluAgent
Choose EvaluAgent if you need automatically score and audit 100% of customer service calls and chats for quality and compliance — strengths include transcribes and analyzes every interaction across voice, chat, email, and tickets rather than 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.
EvaluAgent
joinly
It depends on your workflow. EvaluAgent is strong for automatically score and audit 100% of customer service calls and chats for quality 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.
EvaluAgent 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.
You can — some teams pair them when each covers a different part of the meeting workflow.
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