Velaris and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Velaris: Customer success platform that analyzes meeting transcripts and customer conversations into actionable 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. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants workflows, shortlist Velaris when cs managers turning customer calls into structured follow-ups matters most, and joinly when building custom ai meeting agents that answer questions and run tasks during live calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Customer success platform that analyzes meeting transcripts and customer conversations into actionable 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.
Velaris 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 | Velaris | joinly |
|---|---|---|
| Core capability | Analysis of customer meeting transcripts and conversations | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Automatic follow-up task creation from meetings | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Conversation summaries that reduce manual recap work | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Topic and signal dashboards for churn and expansion cues | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Integrations with many customer success and communication tools | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Analysis of customer meeting transcripts and conversations | Docker-based self-hosting with optional CUDA GPU image |
Velaris
Choose Velaris if you need cs managers turning customer calls into structured follow-ups — strengths include connects meeting insights to overall account health.
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.
Velaris
joinly
It depends on your workflow. Velaris is strong for cs managers turning customer calls into structured follow-ups, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Velaris 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 and the budget is justified.