Decagon streamlines customer service with AI agents

Decagon, co-founded by Jesse Zhang and Ashwin Sreenivas, has developed an AI-powered customer service system that handles routine tasks for companies like Notion and Duolingo. After a year of rigorous competition, Decagon’s chatbot consistently outperformed rivals in “bake-off” evaluations against tools from competitors like Salesforce.

The startup has recently raised $65 million in a Series B funding round, bringing its total valuation to $650 million, reports Fortune. This funding will support team expansion, new customer acquisition, and the addition of a voice feature to its product.

The rise of AI agents capable of performing complex tasks is driving interest in this technology, with experts predicting widespread use in the near future. Companies utilizing Decagon’s chatbots seem to have significantly reduced their human support staff, leading to substantial cost savings.

Decagon’s AI agents leverage large language models and enterprise data, with a focus on maintaining up-to-date information. The company emphasizes transparency and control, allowing customers to understand and modify chatbot responses. Unlike traditional chatbots, Decagon aims to resolve customer issues without human intervention, addressing previous frustrations with AI systems.

Related posts:

Stay up-to-date: