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Entergram

Entergram is a CRM and customer support platform built on real personal Telegram accounts. It lets teams manage chats from multiple Telegram accounts in one shared inbox, without using bots. Core capabilities include: turning Telegram conversations into CRM leads (with support for custom fields, stages, and assignees), converting chats into tickets that can be linked to source message IDs, providing analytics that Telegram natively lacks (response time, reply rate, message volume, activity heatmaps), and sending targeted broadcasts to existing chats. It connects with existing tools through native integrations with Slack, Notion, Make.com, and a REST API, and offers a Telegram MCP that lets AI assistants such as Claude and ChatGPT route chats across accounts and draft replies. Entergram runs on users' existing real accounts, and for privacy it isolates messages by connected seat by default, with optional shared accounts to enable a shared inbox. A free 3-day trial is available, no credit card required.

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About this tool

Entergram is a CRM and customer support platform for Telegram, whose core feature is that it runs on users' existing real personal Telegram accounts rather than using bots. The official description states that it can run more than 100 real personal Telegram accounts in one shared inbox, with support for pipelines, tickets, broadcasts, and analytics.

Main capabilities:

  • Shared inbox: Connect the personal Telegram accounts customers already use, manage chats in one shared workspace, with support for CRM records, tickets, assignment, and team analytics.
  • Telegram CRM: Turn chats into a full CRM. Add custom columns such as stages, assignees, and deal amounts, manage inbound leads from multiple accounts in one shared inbox, and turn any chat into a ticket. The official description calls this a real Telegram CRM pipeline, with no bots or exports needed.
  • Analytics and response time tracking: Provide analytics that Telegram itself does not offer, including response time, reply rate, and message volume, view the busiest periods through heatmaps, and compare each member's performance against the SLA; enabled automatically after connecting.
  • Customer support tickets: Run Telegram support from one shared help desk. Assign conversations, set status, priority, assignee, and SLA, and every ticket links back to the corresponding Telegram chat and exact source message ID, so the team always has full context.
  • API and integrations: Provide a workspace-level REST API, as well as native apps for Slack, Notion, and Make.com; HubSpot is officially labeled as "coming soon (in progress, not yet released)." The API uses least-privilege scopes, is rotatable, can restrict IPs, and keeps audit logs, and supports listing and searching chats, reading history, managing contacts and custom fields, creating tickets, and sending broadcasts.
  • Slack integration: Telegram conversations flow into Slack, and replies written in Slack are sent through the real personal account that owns the chat, not a bot. Each connected account maps to a Slack channel.
  • Notion integration: Connect bidirectionally with Notion, and new Telegram chats are automatically written to a Notion database, with no manual copying or exporting.
  • Make.com integration: Connect Entergram to hundreds of apps through visual scenarios, using the same permission scope model as the API, with no code required.
  • Telegram MCP: Connect real Telegram accounts to Claude, ChatGPT, n8n, or Make.com through a secure Model Context Protocol endpoint, with no bots, API keys, or code. It lets AI triage chats, draft replies, or pull customer history across all connected accounts.

How it works: After users connect their personal Telegram accounts, chats enter a shared workspace. Teams can share a CRM layer (columns, tags, tickets, templates, and internal comments), but message content is not shared by default: each person can only see chats from their own connected Telegram account. If a shared inbox is needed, a second member can connect the same Telegram account from their own seat, and the two can then handle the same chats in real time from the same real account. The official description says sessions are stored encrypted with AES-256-GCM, each session runs through a proxy with its own independent IP, and 2FA is held by the account owner.

Use cases: The following scenarios are officially listed:

  • Agencies and communities: manage client accounts, communities, and campaigns in one Telegram workspace without switching phones.
  • Sales and CRM teams: turn conversations into a visible pipeline with owners, stages, custom columns, and reminders.
  • Customer support: run a shared inbox on a real Telegram account, with assignment, SLA tickets, and response time tracking.
  • Web3 or crypto CRM: for crypto projects, DAOs, NFT communities, and trading desks, to tag and segment members, track group and channel attribution, publish broadcasts, and turn support requests into tickets.

Limitations and notes:

  • The HubSpot integration has not yet been released, and the official recommendation is to temporarily move Telegram leads into HubSpot via the REST API or Make.com scenarios.
  • Entergram does not store message history in its database and keeps only a short-term cache; messages are fetched from Telegram in real time to display to users and teammates permitted to view that chat.
  • Message text is processed in order to send notifications.
  • Team members can completely exclude personal chats from the workspace; only the chats they choose to share will appear.
  • Data analysis capabilities include message volume, response time, activity heatmaps, and team performance comparisons.
  • Billing-related information: the official page mentions a free 3-day trial with no credit card required; the specific plan and pricing page only lists feature items (such as 5 Telegram accounts, +€5/month for each additional one; agency-dedicated IP; chat reminders; Notion, Make.com, and Slack integrations, etc.), and does not provide a complete price table or billing details.
  • The company says its measurement data comes from product usage data and in-app customer surveys, and has not been independently audited.

Information not yet provided: specific pricing plans, free plan feature limits, supported languages, enterprise-level compliance certifications, independent third-party security audit results, etc. are not clearly provided in the materials.

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