Allego: Conversation intelligence within a broader sales enablement platform that records, transcribes, and analyzes sales calls for coaching and deal insights. 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. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Allego when coaching reps using insights and showreels drawn from real calls matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Conversation intelligence within a broader sales enablement platform that records, transcribes, and analyzes sales calls for coaching and deal insights.
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.
Allego provides conversation intelligence as part of its broader sales enablement and revenue-enablement platform. The conversation intelligence module automatically records and transcribes sales calls and meetings across common dialers and video platforms, supporting multiple languages, then analyzes those conversations to surface key topics, buyer sentiment, objections, competitor mentions, and successful selling behaviors. Transcripts are searchable, and the system generates summaries and action items from each call. Because it sits inside Allego's enablement suite, the analysis connects directly to coaching and learning workflows: managers can build showreels from top-performing calls, apply consistent scoring to identify coaching opportunities, and link reps to relevant training and practice modules. On the deal side, Allego ties conversation data to CRM context, providing early warning signals when deals lose momentum and visibility into buyer engagement across calls, email, content, and digital sales rooms. Allego is aimed at mid-market and enterprise revenue organizations that want conversation intelligence unified with onboarding, content, and coaching rather than as a standalone tool. It was recognized as a Leader in the Gartner Magic Quadrant for Revenue Enablement Platforms. Pricing varies by plan. Check the official website for current pricing.
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
Allego is a free tier with paid upgrades (freemium); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Allego | joinly |
|---|---|---|
| Core capability | Automated call recording and multilingual transcription | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Searchable transcripts surfacing pricing, competitor, and objection mentions | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Call scoring and creation of showreels from top-performing calls | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Integration with coaching, learning, and practice modules | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Deal intelligence with CRM context and momentum warning signals | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Automated call recording and multilingual transcription | Docker-based self-hosting with optional CUDA GPU image |
Allego
Choose Allego if you need coaching reps using insights and showreels drawn from real calls — strengths include conversation intelligence is unified with coaching and enablement workflows.
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.
Allego
joinly
It depends on your workflow. Allego is strong for coaching reps using insights and showreels drawn from real calls, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Allego 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.
Often yes: teams combine tools when one handles capture and another handles analysis.
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