What is Relevance AI?
- Founders: Daniel Vassilev, Jacky Koh, Daniil Palmer
- Launch: December 2020
- Use Cases: Sales automation, marketing personalization, customer support, CRM enrichment, SEO content generation
- Technology: No-code platform, multi-agent AI systems, AI orchestration, over 2,000 integrations
Relevance AI is an AI-powered customer support platform that allows businesses to develop and manage AI agents without writing any code. Launched in December 2020 by Daniel Vassilev, Jacky Koh, and Daniil Palmer, the platform seeks to automate repetitive workflows while increasing time for human teams to work on high-value tasks. Users can create AI agents for sales automation, marketing campaigns, customer service, CRM enrichment, and SEO written content.
The platform works with over 2,000 different tools and multi-agent systems to help organizations scale quickly. A non-technical user can easily start using it thanks to its no-code interface. But Relevance AI's strong AI orchestration is also capable of providing businesses with specialized AI agents for their unique business requirements. Relevance AI right now is a favorable fit for startups and enterprises; it is flexible, automated, and scalable, and will help organizations execute on intelligent business outcomes faster.
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