INTEROP Tokyo 2026 Recap: Understanding Emerging Industries Through Structured Intelligence
Connectionary participated in INTEROP Tokyo 2026, introducing AID, its Structured Intelligence platform, and presenting "Recent Trends in Space Data Centers" at the Data Center Summit. The company generated inbound leads from 141 professionals across 119 Japanese organizations.
Connectionary participated in INTEROP Tokyo 2026, held from June 10–12, 2026, at Makuhari Messe in Japan.
During the event, Connectionary operated a booth at the Internet × Space Summit Pavilion (Hall 7 · 7S32). The company also delivered a seminar titled "Recent Trends in Space Data Centers" as part of the Data Center Summit.
At the booth, Connectionary introduced AID (Atomic Intelligence Decomposition), a Structured Intelligence platform that transforms fragmented information into decision-ready intelligence, along with industry analysis use cases. The seminar shared insights into the latest developments in the space data center industry, including its value chain and the broader process of market formation, based on analyses conducted with AID.
Presentation · Recent Trends in Space Data Centers
The presentation delivered by Connectionary CEO Jiwon Lee reached full capacity with 210 pre-registered attendees, and attracted more than 100 additional participants on-site during the event.
The session explored the rapidly emerging space data center industry amid growing demand for AI infrastructure. It examined key technological, energy, and infrastructure challenges shaping the sector, as well as broader market developments.
The presentation also analyzed how launch systems, energy infrastructure, data centers, space technologies, and national policies interact to shape the industry. By structuring relationships among companies, technologies, policies, and investment activities, the session provided a broader perspective on the industry's current position and future trajectory.
The presentation materials were built on industry analyses conducted using AID. Through a structured view of the industry's value chain and major bottlenecks, the session demonstrated an approach to understanding complex industrial change in a more comprehensive and contextualized way.
"Many organizations are searching for better models and more data, but much of the challenge lies not in the model itself, but in the structure of information. For AI to understand relationships and context within an industry, information must first be organized into a form that AI can utilize.
Under the principle of 'Structure Before Inference,' Connectionary focuses on building structured knowledge systems that help people understand the flow of change, rather than simply providing more information."
Jiwon Lee · CEO, Connectionary
Attendance and Inbound Interest
During the event, Connectionary generated inbound leads from 141 professionals representing 119 Japanese organizations.
- Industry Distribution: Approximately 74% from manufacturing, technology, ICT, and data center sectors; approximately 6% from financial institutions; approximately 5% from research organizations
- Types of Requests: Presentation materials, AID product demonstrations, 14-day trials, and follow-up meetings
- Customer Segments: Global ICT and data center companies, major Japanese manufacturers, space and telecommunications research organizations, financial and industry research institutions, and government/public R&D organizations
Interest was particularly strong among participants from manufacturing, technology, ICT, and data center sectors. Requests for presentation materials were accompanied by inquiries regarding AID demonstrations, trial access, and follow-up discussions.
The event also provided opportunities to engage with professionals from corporate strategy and new business teams, financial institutions, industry research firms, and research organizations. These organizations included major Japanese manufacturers, ICT providers, telecommunications operators, financial institutions, research organizations, and public-sector technology agencies.
Beyond interest in AI itself, many conversations focused on how organizations can continuously understand rapidly changing industries, technologies, policies, supply chains, and competitive landscapes.
This reinforced a broader observation from the event: organizations are not simply looking for more information. They are looking for ways to transform fragmented information into structured understanding that can support long-term decision-making.
Looking Ahead
Through INTEROP Tokyo 2026, Connectionary confirmed growing demand in Japan for structured approaches to understanding and leveraging industry change.
Many of the discussions at INTEROP highlighted the need for deployment flexibility, particularly among organizations operating under strict security, compliance, and governance requirements.
To support these environments, Connectionary provides both SaaS and Sovereign AI (on-premise) deployment models and plans to expand collaboration with organizations across Japan.
These conversations also reinforced Connectionary's belief that the next stage of AI adoption requires more than access to information. Organizations increasingly need systems that can structure relationships, context, and change over time, helping decision-makers understand not only what is happening, but why it matters.
Looking ahead, Connectionary will continue expanding its Industrial Intelligence capabilities across emerging technology sectors such as AI infrastructure, semiconductors, data centers, and space technologies. The company also plans to extend its analytical framework into investment research and investment decision support.
Media Coverage
Structure before inference
Intelligence that computes,
not just retrieves.
Structured state preserves relationships, conditions, timelines, and evidence across fast-changing technology domains before inference begins.