Connecting with HyperFlow partners

On-site highlights from the 2026 HyperFlow Partner Seminar

On March 16, 2026, a special seminar for HyperFlow partners was held at the KSPO Training Center in the Olympic Hall, located at 424 Olympic-ro, Songpa-gu, Seoul. This seminar went beyond a simple introduction to features and was designed as a hands-on, training-focused session where partners could directly learn, apply HyperFlow, and share their experiences with one another. Partners from diverse backgrounds, both developers and non-developers, gathered in one place to explore how to use HyperFlow and experience its latest features firsthand.

Learning HyperFlow through hands-on practice

The seminar began with an introduction to the core structure of HyperFlow. Participants were first introduced to its nodes, followed by an overview of the IDE environment and workflow design approach. This was then followed by a hands-on session where they built a document-based RAG chatbot themselves. By creating workflows using HyperFlow, participants experienced the process of building an AI system firsthand. Through this, they were able to see that HyperFlow is an intuitive platform that can be easily used not only by developers but also by non-developers.

Introducing the enterprise chatbot “HyperWorks”

In the following session, “HyperWorks,” an enterprise chatbot built on the HyperFlow engine, was introduced. HyperWorks is designed for real business environments, offering advanced features integrated with internal organizational data. The session provided an overview of its key capabilities and explored how it can be applied in enterprise settings. In particular, participants learned how to implement a RAG system using internal data simply through file uploads and how to apply it in practice, helping deepen practical understanding. This demonstrated that HyperFlow is not just a development tool, but a flexible platform that can be expanded into various AI systems.

AI demos connecting diverse industries

Another highlight of the seminar was a series of demos built with HyperFlow. Four agents were showcased on-site: an Instagram post generation agent, an audio analysis-based medical chart generation agent, a stock analysis agent, and a pork price prediction agent. Although each demo addressed different industries and challenges, they all shared the common feature of being rapidly built on HyperFlow. This clearly demonstrated that HyperFlow is not limited to a specific domain, but is a scalable platform that can be flexibly applied across various business environments and use cases.

Sharing the latest updates and bug reporting method

The seminar also introduced new updates to HyperFlow. Various new features, including an HWP parser, were unveiled, along with insights into future improvements aimed at enhancing practical usability. In addition, guidance on bug reporting and the feedback process was provided, encouraging partners to actively participate in identifying issues and suggesting improvements while using the product. Overall, the seminar created an opportunity to collaboratively evolve the product together with partners.

Real-time global Q&A session

The seminar concluded with a Q&A session with partners. CTO John Wainwright, who was on a business trip in the U.S., joined online and led a live Q&A, creating a meaningful opportunity to connect the on-site audience with a global perspective. Participants freely asked questions on a wide range of topics, from feature usage to technical architecture, followed by in-depth answers and discussions. It was a valuable session that expanded both practical understanding and insights.

Learn together, build together with HyperFlow

This seminar went beyond a one-time event, serving as a platform to define how HyperFlow and its partners will collaborate and grow together moving forward. The questions and discussions shared on-site are already laying the groundwork for future PoCs and projects. HyperFlow will continue to expand these hands-on touchpoints, supporting partners in effectively applying and scaling AI within their own business environments.