Orum and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Orum: AI-powered parallel and power dialer for sales teams with automatic call recording, real-time assist, AI scoring, and roleplay coaching. 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 Orum when increasing live connect rates for sdr outbound calling 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.
AI-powered parallel and power dialer for sales teams with automatic call recording, real-time assist, AI scoring, and roleplay coaching.
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.
Orum 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 | Orum | joinly |
|---|---|---|
| Core capability | Power and parallel dialing with live-answer detection | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Automatic call logging and recording with timestamps | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Real-time Assist surfacing objection and competitor responses | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | AI call scoring against proven criteria | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Scenario-based AI roleplay and coaching portals | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Power and parallel dialing with live-answer detection | Docker-based self-hosting with optional CUDA GPU image |
Orum
Choose Orum if you need increasing live connect rates for sdr outbound calling — strengths include parallel dialing maximizes live conversations per session.
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.
Orum
joinly
It depends on your workflow. Orum is strong for increasing live connect rates for sdr outbound calling, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Orum 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.