ColdCALR: AI cold-call roleplay and training tool where reps practice scripts against AI prospects and get scored on technique. 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 ColdCALR when new reps rehearsing cold-call scripts before dialing real prospects matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Run both through a week of actual calls to see which suits your workflow.
AI cold-call roleplay and training tool where reps practice scripts against AI prospects and get scored on technique.
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.
ColdCALR is an AI-powered cold-call training tool that simulates realistic outbound calling scenarios so sales professionals can practice their scripts and objection handling against AI-generated prospects. The AI plays the role of a prospect that raises objections, asks questions, and reacts in a way meant to mirror real conversations, letting reps rehearse repeatedly on demand without scheduling a live partner. After a practice session, ColdCALR provides objective, automated feedback and scoring on cold-calling technique and objection handling, helping reps see where their delivery and responses can improve. The tool includes a script builder for creating and refining cold-calling scripts, an analytics dashboard for tracking progress and appointment-setting metrics over time, and industry-specific templates with prebuilt scenarios for sectors such as real estate, SaaS, insurance, and recruiting. Notably, ColdCALR focuses on practice against AI rather than recording real prospect calls, which the product positions as a way to sidestep dual-consent recording concerns. It is aimed at individual reps, account executives, sales teams, and training directors who want low-pressure, repeatable cold-call practice. 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
ColdCALR 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 | ColdCALR | joinly |
|---|---|---|
| Core capability | AI roleplay simulations of cold-call conversations with responsive AI prospects | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Automated scoring and feedback on cold-calling technique and objection handling | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Script builder for creating and refining cold-call scripts | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Analytics dashboard tracking practice progress and appointment-setting metrics | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Industry-specific scenario templates for real estate, SaaS, insurance, recruiting, and more | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | On-demand, around-the-clock practice without a live partner | Docker-based self-hosting with optional CUDA GPU image |
ColdCALR
Choose ColdCALR if you need new reps rehearsing cold-call scripts before dialing real prospects — strengths include low-pressure environment for repeatable cold-call practice.
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.
ColdCALR
joinly
It depends on your workflow. ColdCALR is strong for new reps rehearsing cold-call scripts before dialing real prospects, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
ColdCALR 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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