Decagon

A recent experience with an AI bot: I filed a support ticket with Rippling regarding a benefits question and recieved an immediate response that articulated the problem back to me clearly, provided a 24 hour SLA, and then signed the ticket "Rippling Support AI". 3 hours later a human support agent resolved and closed the ticket for me. Problem solved. This AI -> human handoff was perfect for my use case which required 1) a timely response, and 2) the option to go deeper depending on the answer. Fun to see AI use cases that are making the users life better AND making the employees life better (in this case the support rep)

We're thrilled to welcome our newest GTM members to the Decagon team! • Breuer Bass, Sales Engineer • Kyle Egan, Account Executive • Hayden Conrad, Account Executive These talented hires will be key players in supporting Decagon's expansion through 2025 and beyond. Interested in joining us? Head on over to our careers page! We're hiring across all departments. ➡️ https://lnkd.in/gwvw-VGJ

Lovely shoutout from our friends at Wealthsimple about our deployment of AI customer service agents! We're very grateful to be working with the exceptional Wealthsimple team (Laura Lampe, Timur Kalimov, and many more). Among other things, the article discusses the difference between newer Gen AI approaches and the previous generation. Sam Talasila also has some great quotes: “It’s a very typical build versus buy decision. It was really important for us to take the data scientists and the devs that were working on the chatbot and figure out if we can reposition them into [the] business itself.” https://lnkd.in/gxE6mZ9w

Our engineering team is growing quickly! We're so excited to welcome this talented group aboard, they're already making an impact. Shoutout to Sahib Singh Pandori and Marcus Schorow, two new senior engineers joining our technical staff! If you're looking for our next play, check out our careers page. We're hiring across all departments! ➡️ https://lnkd.in/gwvw-VGJ

One interesting topic these days is how you continuously improve AI agents once they are live in production. 🌀 Here's one way we approach it at Decagon. As our AI agent has more and more conversations with customers, it can identify areas that get escalated to a human agent or topics where the knowledge/processes are lacking. From there, the next step is to suggest improvements. You can use LLMs to read every conversation, categorize the biggest themes, and then read how the human agents solve these issues to draft new knowledge articles or new procedures for the AI agent to follow. Over time, this feedback loop will continuously improve the AI's ability to answer new questions and handle various situations. LLMs can be used both to power the AI agent itself and to drive improvements. Of course, this example is specific to customer support, but you can easily imagine how similar mechanisms can exist for other AI agents. I predict this will be an increasingly important theme as more AI agents get deployed to production.

We're thrilled to be listed as #2 on the 2025 Enterprise Tech 30 mid-stage list! 🎉 The Enterprise Tech 30 names the most promising private companies in enterprise technology with the most potential to meaningfully shift how tech enterprises operate. A huge thank you for the recognition to Wing Venture Capital, Newcomer, and all the institutional investors who participated. Check out Decagon's profile and the full #ET30 list in the comments. 👇 Excited about building the future of conversational AI agents for customer experience? We’re hiring across the board! Check out our open positions in the comments. 🚀

Honored that Decagon has been named on the 2025 Enterprise Tech 30 list! We're ranked #2 among all mid-stage companies. Thanks to all the institutional investors who voted. Our team is hard at work building the best AI customer experience agents. Reach out if interested! Full list below 👇

We worked with OpenAI to test their latest GPT-4o-powered speech-to-text model, and the improvements in transcription accuracy were promising. The tests achieved nearly 30% greater accuracy in noisy environments and across diverse accents— key challenges for voice agents. Integration was also straightforward. We incorporated the new model into Decagon's voice pipeline in just one day with minimal prompt-tuning. We're continuing to explore the new model's potential for enhancing Decagon's voice AI capabilities...more to come soon! And if you're excited about working with the latest AI technology, join us! We’re hiring across the board. Check out our careers page on https://decagon.ai/

Great shoutout from Figma on our use of Figma Slides!

+70% dos nossos atendimentos são resolvidos usando AI Estamos muito animados em anunciar a nossa parceria com a Decagon e os resultados positivos que estamos alcançando! A NG.CASH agora é a primeira empresa na América Latina a adotar essa tecnologia com foco em atendimento ao cliente. Jesse Zhang, Ashwin Sreenivas thanks for the partnership! Parabéns Nilton Oliveira e Fernanda Villa Nova de Almeida pela implementação. Mais detalhes sobre o que estamos construindo no link a seguir: https://lnkd.in/disSZQ9H