If you're looking for a platform that uses generative AI to understand and respond to customer requests in a human-like way, Decagon is a top contender. It offers enterprise-grade generative AI for customer support, with always-on AI support agents and fully generative responses. The platform learns from conversations, can auto-resolve customer issues, and integrates with existing tools, so it's a good fit for companies looking to modernize their customer support.
Another top contender is Ada, which automates customer service with AI-powered agents that can handle more than 70% of customer inquiries. Ada connects to existing knowledge bases and data from other business systems, so it can offer personalized and accurate help across multiple channels. It's been shown to cut operational costs and improve customer satisfaction, and it's good for e-commerce, fintech and other businesses.
Quiq is another top contender, a conversational AI platform for enterprise businesses. Quiq uses generative AI and large language models to provide customers with fast and accurate help while protecting customer data. It handles asynchronous conversations, integrates with multiple CRM systems, and offers features like call-to-text conversion and outbound messaging, so it's a good fit for big businesses.
If you're looking for something a bit more focused, Conversica is geared for revenue teams with more advanced AI models that can mimic human conversation. Conversica handles lead engagement and qualification, supports multilingual and omnichannel conversations, and integrates with popular CRM and customer success platforms. It's good for qualifying leads, reactivating opportunities and improving customer retention.