Hi, we're Decagon :) The conversational AI platform to build, optimize, and scale AI agents that deliver concierge CX.

At Decagon, we believe AI agents shouldn’t be black boxes. That's why we built Trace View — an agent observability platform with full visibility into an agent's step-by-step reasoning, instructions, and decisions. Blog post here: https://t.co/bavtbW5lv9

We are excited to welcome Chloe Mark to Decagon as our new SVP of Operations and People. Chloe has led people and operations functions at Splunk and Proofpoint, and has spent years working directly with CEOs during pivotal moments of growth. She’s thoughtful, direct, and deeply

Decagon employees have taste. 🤌 What was your top song this year?

There's never a dull moment in our office. 🧡

We’re officially moved into our new office in NYC! After just a few months, we’ve outgrown our first NYC office and moved into a new space that gives our teams more room to collaborate and build.

Best customer experience in a long time! my @ouraring's battery is getting weak... went to the website, talked to the bot, the bot verified my credentials, checked the hardware logs, confirmed the issue, checked for availability of a replacement model (of course it knew my model

Big congrats to these BCV-backed founders for landing on this year’s @Forbes Under 30 list 🏆 A well-earned spotlight on the defining work they’re building — across AI, devtools, support infra & creative tech👇

https://t.co/QKAL2FyxLG

It’s an amazing time to be at Decagon. We’re honored to be working with incredible customers who choose our platform for our AI-native product. Instead of the traditional SaaS approach, which is heavy on configuration and technical resources, the biggest brands in the world are

https://t.co/QKAL2FyxLG

We’re excited to share that our cofounder and CEO, @thejessezhang , has been named to the @Forbes AI 30 Under 30 AI list. This recognition highlights the work our team is doing to redefine how companies engage with their customers using AI agents. Full article in the thread.

The future of customer support isn't hiring more humans—it's training one AI agent that handles millions of conversations.⁣ ⁣ @decagonAI's CEO explains how support managers are shifting from supervising teams to becoming "agent improvers."⁣ ⁣ https://t.co/xQDJqVMLPo

At Decagon, we fine-tune models in-house to make better, more specialized decisions, as opposed to prompt tuning which only gets you so far. Our agents break every interaction into a series of micro judgments, from choosing the right AOP to understanding when to stay on topic,

@DecagonAI is building human-level AI support for customer-facing teams. @natarajsindam sat down with @AshwinSreenivas on to talk about 1. scaling to $1.5B in 2 years 2. approach to finding PMF 3. evolution of voice agents & a lot more. Snippet here, full links in comments

Most enterprise AI fails for one reason: business teams can't control it. During #ConnectedStack, @AshwinSreenivas from @DecagonAI shared how they let non-technical users fix AI in 20 minutes. No engineering. No tickets. No waiting. This is the unlock that speeds org-wide

Interested in joining Decagon? Check out our careers page!

The team keeps growing, and we couldn’t be more excited. At our new-hire mixer this week, we asked everyone what their first impression of Decagon has been so far.

More in our blog:

Fast, reliable AI agents start with a specialized architecture built for real-world performance. At Decagon, we fine-tune smaller models for the many sub-tasks involved in resolving a customer’s request.

Execute fast, then plan slow. @thejessezhang (CEO of @DecagonAI, a $1.5B AI unicorn) went through a true hero's journey. Painful first startup → intentional customer discovery → innovation in Agent Operating Procedures And, of course, the hill he'll die on: Commercial