Sendbird

Sendbird

Sendbird is an AI chatbot builder that enables businesses to create custom conversational AI for customer engagement without coding.

Screenshots

Sendbird screenshot

About Sendbird

Sendbird empowers businesses to build and deploy custom AI chatbots directly from an intuitive dashboard, requiring no coding expertise. Users can design chatbot interfaces to match their brand, train bots using proprietary data, and thoroughly test functionality before live deployment. This no-code approach democratizes chatbot creation, allowing marketing, sales, and support teams to launch conversational AI independently. The platform supports diverse use cases across industries, including lead generation, e-commerce shopping assistance, customer service, legal consultation, recruitment screening, and healthcare appointment scheduling. Multi-functional capabilities enable a single chatbot to handle multiple business processes, reducing the need for separate tools and streamlining customer interactions across departments. Sendbird provides powerful customization options through suggested replies, custom response templates, and workflow automation. These features allow businesses to maintain consistent messaging, accelerate response times, and guide conversations toward desired outcomes. Built-in analytics track bot engagement, measure user sentiment, and monitor AI performance metrics, delivering actionable insights to refine customer experience and inform business strategy. Integration with Salesforce enables seamless data flow between chatbot interactions and CRM systems. Multi-language support extends reach to global audiences, making Sendbird suitable for businesses operating across different markets and regions.

Pros

👍 No coding required—build chatbots via intuitive dashboard 👍 Train bots with your own data for accurate, branded responses 👍 Supports multiple use cases from sales to customer support 👍 Built-in analytics track engagement and user sentiment 👍 Salesforce integration syncs chatbot data with CRM systems

Cons

👎 Pricing and plan details not publicly specified 👎 May require technical support for complex workflow customization 👎 Limited information on conversation complexity handling 👎 Multi-language support scope not clearly defined