Resources

Pricing enterprise AI agents is different from traditional SaaS models. Here's how we think about it.

Cynthia is an engineer at Decagon. Here's her reflection on why she joined after graduating from Harvard.

At Decagon, we envision transparent AI as the foundation for widespread enterprise AI adoption.

Explore how leading fintech companies are using Decagon to transform their customer service.

Presenting Decagon's comprehensive system architecture for the deploying production-ready AI agents.

Poor support leads to silently unhappy customers. The solution? Exceptional customer support experiences.

Read on OpenAI's blog: Decagon and OpenAI deliver high-performance, fully automated customer support at scale.

Read on Anthropic's blog: Decagon delivers white-glove customer service at scale with Claude.

We've raised a $65m Series B led by Bain Capital Ventures to bring our total funding to $100m.

What are generative AI agents and how are they different from older solutions? Why partner with a modern AI company?

We're excited to share our $35M Series A from Accel and a16z to bring AI agents to the enterprise.

Three criteria for AI agents to achieve commercial viability in a specific use case and serve real customers today.