Conveo: AI-led qualitative research platform that runs video, voice, and text interviews and analyzes every signal for insights at speed. 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 Conveo when continuous consumer and ux research using video interviews at scale 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.
AI-led qualitative research platform that runs video, voice, and text interviews and analyzes every signal for insights at speed.
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.
Conveo is an AI qualitative research platform that handles the full interview workflow, from recruiting participants to moderating conversations to analyzing results, with the goal of compressing research timelines from weeks to days. Its AI interviewer conducts real video, voice, and text conversations asynchronously, adapts the discussion guide in real time, and probes with contextual follow-up questions based on each participant's responses, supporting interviews across 50-plus languages end to end including the interviewer, transcripts, and reports. Researchers can upload a brief or business objective and have Conveo generate an interview guide, then begin fielding within roughly half an hour. Because it captures video alongside voice and text, the platform performs multi-signal analysis, reading tone, emotional cues, and behavior in addition to spoken content, and it links findings back to the source video moments so insights can be validated and shared. Automated outputs include executive summaries, thematic analysis, emotional insights, and quantitative data extraction. Conveo positions itself as an end-to-end platform for continuous research across consumer insights, UX, marketing, and product workflows. 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
Conveo 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 | Conveo | joinly |
|---|---|---|
| Core capability | AI interviewer conducting asynchronous video, voice, and text interviews | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Real-time discussion-guide adaptation with contextual follow-ups | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Multi-signal analysis of voice, video, tone, and behavior | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Automated executive summaries, thematic analysis, and quantitative extraction | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Findings linked back to source video moments | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | End-to-end recruiting, interviewing, and analysis in 50+ languages | Docker-based self-hosting with optional CUDA GPU image |
Conveo
Choose Conveo if you need continuous consumer and ux research using video interviews at scale — strengths include video capture enables emotional and behavioral analysis beyond transcript text.
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.
Conveo
joinly
It depends on your workflow. Conveo is strong for continuous consumer and ux research using video interviews at scale, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Conveo 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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