Vink is an AI sales assistant that lives in WhatsApp and does a salesperson's CRM data entry for them. The workflow is simple: finish a customer call, open the Vink chat, and talk. Vink transcribes the voice note, extracts the facts that matter — the deal stage, the amount, the timeline, who said what — and writes them straight into the CRM record, logging the full note alongside them. It then confirms what it changed in the chat, so nothing ever updates silently. Salespeople get 30 to 60 minutes a day back, and sales leaders get a CRM that reflects reality the same day instead of the end of the week.
Because it runs inside WhatsApp, there is nothing to install and nothing to learn. Vink answers questions in the same thread: ask what you know about a prospect before a call, move a deal forward, or set a follow-up reminder for Friday. It is currently available as a free, invite-only beta — join the waitlist on the home page.
After a sales call, you send Vink a voice note or text message in WhatsApp describing what happened. Vink transcribes the note, understands the deal details — stage, value, next steps, sentiment — writes them to the CRM it's connected to, logs the note on the right record, and confirms everything it did back in the chat.
No. Vink runs entirely inside WhatsApp, so if you can send a message, you can use it. There is no separate app, dashboard, or password to manage.
You can ask it to move a deal to a new stage, tell you what you know about a specific prospect, research a company before your next call, or remind you to follow up on a chosen day. Everything happens in plain language in the same chat.
Vink connects to your existing CRM and keeps its records up to date, so your team's existing pipeline, reports, and forecasts stay the source of truth. Setup takes minutes, and you can reach out through the contact page to ask about your specific setup.
Salespeople commonly spend 30 to 60 minutes a day typing notes into a CRM after calls. Because a voice note takes seconds, most of that time comes back — and the CRM ends up more accurate, since notes are captured while the call is fresh.