daisee: Daisee is an AI voice analytics and contact centre quality assurance platform that transcribes and automatically scores 100% of customer calls and chats. 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 daisee when automating quality assurance and agent scoring across an entire contact centre's call volume 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.
Daisee is an AI voice analytics and contact centre quality assurance platform that transcribes and automatically scores 100% of customer calls and chats.
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.
Daisee is an Australian (Sydney-based) AI software company offering a cloud-based voice analytics and contact centre quality assurance platform. It captures audio by having organisations upload call recordings to a secure cloud endpoint, then transcribes the conversations using speech-to-text technology. Rather than reviewing only a sample of interactions, Daisee analyses 100 percent of calls and chat sessions, applying natural language processing and sentiment analysis to surface why customers are getting in touch. Core capabilities include a Programmable Scorecard that automates agent evaluation, daisee Essence for categorising call reasons and root-cause drivers, daisee Predictors for flagging likely complaints and churn, plus a Scorecard Builder and Report Builder for custom QA workflows. It supports both voice and chat channels and integrates with platforms such as Genesys Cloud, with partnerships listed including Microsoft and AWS. Daisee is aimed at contact centres and customer-experience teams in regulated sectors like financial services and insurance that need compliance monitoring, agent coaching insights, and automated quality assurance at scale.
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
daisee is custom pricing (contact sales); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | daisee | joinly |
|---|---|---|
| Core capability | Automated transcription of 100% of voice calls | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Programmable Scorecard for automated agent quality evaluation | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Sentiment analysis and emotion detection across interactions | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Compliance monitoring that flags high-risk and non-compliant calls | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Chat interaction analysis alongside voice | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Custom Report Builder and Scorecard Builder with industry templates | Docker-based self-hosting with optional CUDA GPU image |
daisee
Choose daisee if you need automating quality assurance and agent scoring across an entire contact centre's call volume — strengths include analyses every interaction rather than a manual sample, reducing qa workload.
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.
daisee
joinly
It depends on your workflow. daisee is strong for automating quality assurance and agent scoring across an entire contact centre's call volume, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
daisee is custom pricing 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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