Before founding this company in 2018, I spent 13 years at JR East (East Japan Railway Company), managing technology development and working on the frontlines as a train conductor and driver. In 2005, my first year in the industry, the tragic JR Fukuchiyama Line derailment and another major railway accident in Germany occurred. Later, shortly after transferring to Tokyo, I experienced the Great East Japan Earthquake.
Following the post-disaster restoration, when local communities welcomed us saying, "We are so glad the trains are back," I realized firsthand that the mobility services we take for granted are built on a complex web of precise technologies and business frameworks.
At the same time, I realized that in a graying Japan facing rapid population decline, integrating fragmented mobility services via a digital network would create a more resilient society. While attending international transport conferences in 2016, I encountered the concept of "MaaS" (Mobility as a Service). I resolved to connect Japan's transport systems—railways, buses, aviation, and taxis—under a unified digital network, establishing a next-generation infrastructure for our country.
Japan is home to approximately 200 railway companies and tens of thousands of bus and taxi operators, each running siloed, legacy systems. While optimized individually, integrating their data has historically failed due to inconsistent formats and incompatible connection methods.
To break this bottleneck, we have invested approximately 500 million JPY in R&D to develop a robust "Mobility Data Integration Platform." This middleware cleanses, converts, stores, and outputs diverse transport datasets. While it is behind-the-scenes engineering, this robust infrastructure is what enables us to connect any operator's data seamlessly. Much like a rocket launch pad must be perfectly stable, our data platform is the rock-solid foundation for Japan's urban mobility DX.
First, "SeeMaaS" (See Mobility as a Service) is our proprietary visualization and analytics tool.
Municipal urban planners and transport departments struggle to align public transport networks with resident mobility needs due to fragmented operator datasets.
In municipalities like Ishigaki (Okinawa) and Kanazawa (Ishikawa), we established local consortia comprising city halls and transport operators. We integrated railway, bus, and share-cycle usage metrics, smart card transactions, and anonymized passenger demographic data within SeeMaaS.
This allows city planners to instantly simulate optimal policies, such as determining where to place transport hubs or deploy articulated bus lines. It reduces the lead time for data gathering and analysis—which historically took six months to a year via paper surveys or external consultancies—down to minutes, enabling rapid, data-driven PDCA cycles. We are also deploying generative AI models specialized for public infrastructure analysis.
Second, our consumer-facing LINE Mini App service integrates route searches and digital ticketing with peer-to-peer communication features.
Users can organize group trips, coordinate schedules, and manage reminders within LINE. Whether coordinating a school sports trip or a group leisure outing, the app resolves travel coordination issues—such as who is driving or how to split costs—enhancing community-based mobility.
We serve numerous local governments and are the only player in Japan that has successfully implemented a standardized, functional transport database.
To accelerate expansion, we are raising a 500 million JPY Series A round (comprising 300 million JPY in equity and 200 million JPY in debt) by October 2026. We are currently holding active discussions with venture capital and financial institutions.
The proceeds will fund continued R&D and scale our sales organization. Currently operating as a lean team of 15, we face a massive bottleneck: incoming inbound demand from municipalities far exceeds our sales capacity. We need talent to manage client relationships and drive nationwide integration.
We invite software engineers, sales professionals, municipalities, and investment partners who share our mission of rebuilding public infrastructure through data to connect with us.
Interviewer (Mr. Fujiki): Mr. Hidaka, thank you. You have remained dedicated to the MaaS vision since we last met four years ago.
Around 2018, "MaaS" and "Smart Cities" were major buzzwords. Recently, however, we hear these terms less frequently in the VC community. As someone on the frontlines of transport DX, what is the current reality of the MaaS market?
Mr. Hidaka: Mr. Fujiki, it is great to see you again. That is a very sharp question.
In 2018, during the smart city bubble, we were flooded with requests for high-level consulting and thought leadership, driven by projects like Toyota's Woven City or Google's Sidewalk Labs.
However, after COVID-19 restricted travel and hit transport operators financially, the market shifted. The hype cycle cleared, and we entered a phase of "real demand" focusing on actual database integrations and functional app deployments. While the media excitement has cooled, practical, on-the-ground implementation is at an all-time high. MaaS Tech Japan is currently busier than ever. Since transport infrastructure must be reliable, the end of the hype cycle has allowed us to focus on real engineering.
Interviewer (Mr. Fujiki): I see. So the market has matured past the hype into a phase of actual implementation driven by real demand.
You described your "500 million JPY data integration platform" as a "behind-the-scenes technology." Could you explain your competitive advantage and why your data cleansing capabilities are difficult for competitors to replicate?
Mr. Hidaka: While data-driven optimization is standard in web and ad-tech sectors, public transport has lagged due to paper records and legacy databases.
Our platform is the only middleware in Japan capable of converting highly inconsistent, legacy datasets from thousands of operators into a clean, standardized format compatible with SeeMaaS. Without this cleansing capability, even advanced generative AI models cannot output accurate insights. By securing this data layer, we have positioned ourselves as the indispensable infrastructure for Japan's public transport analytics.
Interviewer (Mr. Fujiki): Securing that foundational data layer is indeed a powerful moat.
Finally, regarding your 500 million JPY funding round: from an investor's perspective, there may be concerns about the ratio of one-off consulting revenues. How will you use this funding to scale your recurring SaaS revenues?
Mr. Hidaka: That is a critical point. While we use initial consulting to build relationships and map municipal transport networks, this process serves as the onboarding funnel to integrate client data into our platform. Once integrated, clients transition to recurring monthly SaaS fees for SeeMaaS and API access.
We have proven this conversion playbook. The primary purpose of this Series A round is to hire sales executives to replicate this playbook nationwide, moving away from my founder-led sales model, while expanding our engineering team to support rapid onboarding. This will scale our recurring software margins.
Interviewer (Mr. Fujiki): Onboarding clients via consulting and converting them to high-margin recurring SaaS is a highly logical playbook. With a stronger sales team, you are well-positioned to dominate this niche. I look forward to seeing you reshape Japan's infrastructure. Best of luck.
Mr. Hidaka: Thank you very much. Our team of 15 is committed to driving the digital transformation of public transport nationwide. We appreciate your support.