Learns from your sources
Uses documents, your website, catalogs, FAQs, and policies as its knowledge base.
Mattear · Intelligent customer service
AI assistants trained on your company’s real content. They respond to your customers 24/7 with accuracy, context, and your brand voice.
No code · Web and WhatsApp · Fast setup
Illustrative example
How it works
The agent learns from documentation, your website, catalogs, and policies. Its scope is defined from the start, and it integrates with the channels your customers already use.
Uses documents, your website, catalogs, FAQs, and policies as its knowledge base.
Responds only from approved sources and in the brand’s tone of voice.
Works as an embedded website widget and can also operate on WhatsApp.
Hands off to a person when needed and measures conversations and satisfaction.
Key capabilities
A smooth customer experience and transparent operations for your team.
Responds from catalogs, documentation, policies, or FAQs without going beyond the defined scope.
Available on web and WhatsApp, in the channels your customers already use.
Understands your company’s products, policies, and communication style.
Escalates the conversation to a human agent when needed.
Conversation and satisfaction visibility to continuously improve customer service.
Source changes are reflected without retraining processes.
Channels and integration
An embeddable widget for your website or platform, WhatsApp integration, and seamless handoff to human agents.
Delivery model
A plan based on expected query volume. If exceeded, only actual additional usage is charged, with a detailed report.
Documents, your website, catalogs, or company policies. During the assessment we select the sources, channel, and scope of the first pilot.
It can be embedded as a widget on your website and operate on WhatsApp. Human handoff and the cases requiring intervention are defined for your operation.
The plan is sized around the expected volume of inquiries. Additional usage is reported separately, according to the agreed scope.
Next step
In an initial conversation, we identify the source, channel, and a high-value use case for a focused pilot.