Telebiz launches AI-powered CRM for Telegram to help teams manage sales, partnerships, and customer relationships

Telegram has become the place where many startups close deals, pitch investors, recruit talent, and build partnerships. Yet much of that business activity still lives inside chat threads, forcing teams to juggle spreadsheets, CRMs, reminders, and note-taking apps to keep track of conversations. Telebiz wants to change that.

The Tel Aviv-based startup on Thursday introduced an AI-powered CRM built directly into Telegram, giving teams a way to manage sales pipelines, partnerships, customer relationships, and follow-ups without leaving the messaging app. Instead of asking users to adopt another business platform, Telebiz integrates with their existing Telegram account and layers CRM and AI features onto the conversations they already use every day.

The company says the platform is already being used by more than 10 organizations, including crypto startups, venture capital firms, and remote-first companies that rely on Telegram as their primary communication channel.

Why Startups Are Turning Telegram Into Their Business Hub

The launch reflects a broader shift in how startups operate. For many companies, especially those in crypto and venture investing, Telegram has evolved beyond messaging into a central hub for business development, fundraising, customer support, and partnership discussions. Keeping those conversations organized has become increasingly difficult as teams grow.

Telebiz attempts to solve that problem by connecting Telegram conversations with business workflows. Users can link chats to deals and contacts, schedule follow-ups, synchronize activity with CRM platforms such as HubSpot and Pipedrive, and keep customer records up to date without switching between multiple applications.

The platform includes an AI agent that works directly inside Telegram. It can draft replies in the user’s writing style, identify leads and business opportunities across conversations, summarize group chats, and remind teams to follow up on stalled deals without leaving their existing Telegram account.

Privacy is another area where Telebiz is trying to separate itself from many AI-powered workplace tools. The company says it does not store or access Telegram messages. Devices connect directly to Telegram’s servers, and AI requests are sent from the user’s browser to the selected AI model provider, using the customer’s API key and the provider’s privacy policies. Stored metadata is encrypted using AES-256-GCM encryption, authentication is handled through Telegram’s passwordless login system, and the client is open source, allowing developers to inspect the code.

How Telebiz Turns Telegram Conversations Into Business Workflows

The product takes a different approach from many business tools built around chatbots or external dashboards. It runs primarily in Telegram Web on the user’s device, allowing teams to keep working in the interface they already know rather than moving conversations into a separate workspace.

“Managing partnerships at the scale of Ether.fi means juggling dozens of active conversations across Telegram and constantly looking for new clients,” said Tyson of ether.fi. “Telebiz gave us the structure we were missing: deals tracked, follow-ups managed, and our CRM synced with how our team actually communicates.”

“Telegram is where our partnerships are born and deals move fast,” said Albert, Founder of GenLayer. “Telebiz changed how we manage our BD workflows. Everything lives in one place, the CRM stays current on its own, and the AI agent means a follow-up never falls through the cracks.”

“As an early-stage fund, our deal flow lives in Telegram,” added Eylon, Partner at Collider Ventures. “Telebiz built a connection into the platform our team already uses every day. It has made our business process sharper and meaningfully faster.”

Telebiz enters a growing market of companies building software around messaging platforms instead of asking businesses to replace the tools employees already use. Its bet is that CRM systems should fit into existing communication habits rather than forcing teams to leave the conversations where sales, partnerships, and customer relationships actually begin.