Agent Versioning brings CI/CD discipline to AI agent development, so every change is tracked, tested, and deployed with confidence.

At Decagon, we don’t rely on a single, monolithic model to power our agents.

Authentication is one of the hardest and most underestimated problems in voice AI.

Decagon has raised a fresh $250 million in funding, led by new investors Coatue Management and Index Ventures.

The way every business interacts with its customers is fundamentally changing.

Decagon is proud to announce that we’ve conducted our first employee tender offer.

Introducing Proactive Agents

Today, we're announcing Decagon Duet, an AI partner that enables teams to build self-improving agents.

Today, over 80% of all model traffic at Decagon runs on models we trained ourselves. They outperform the best foundation models on our real-world use cases.