Building the CMS for Next-Gen Mobility: Our Approach to Scalable Transit Software Architecture
A transparent look at the architecture behind our mobility domains — a multi-market content and booking framework designed so a single codebase serves Tokyo ground transit and three eVTOL metros.
Most domain assets are parked pages. Ours are not, and the difference matters to any acquirer evaluating what they would actually be buying. This post is a straight description of the technical framework we are building behind robotaxi.tokyo, evtol.sydney, evtol.london and evtol.osaka — what exists, what is designed, and what deliberately does not exist yet.
Design constraint: one framework, four markets
The four assets share a category structure — an intent-heavy audience arriving from search, a booking flow, an operator-agnostic inventory model, and an editorial layer that establishes authority in the market. They differ in language, regulator, modality and demand shape.
So the architecture separates three things cleanly:
• Market configuration — locale, currency, regulatory copy, operator set, modality.
• Domain logic — itineraries, inventory, pricing, settlement, disruption handling.
• Presentation — per-market editorial content and conversion surfaces.
The content and authority layer
The editorial system is not a blog bolted on for SEO theatre. It is the mechanism that builds topical authority before any transaction exists, and it is structured accordingly: typed post schemas, per-post metadata and canonical handling, structured data for article and organisation entities, category clustering, and full multilingual routing with hreflang alternates.
On robotaxi.tokyo this already runs in production across a large post catalogue with English and Japanese locale routes at /en and /ja, per-locale canonicals, and dynamic language attribution.
The booking and routing layer
Under design and partial build, with the model deliberately chosen to fit both ground and aerial modalities:
• Itinerary as the primary object, with legs derived rather than authored.
• Operator-agnostic inventory adapters, so adding a fleet or an aircraft operator is a configuration task.
• Slot-aware capacity for aerial legs, dispatch-aware capacity for ground.
• Micro-transaction settlement with per-party splits and reconciliation.
• Deterministic disruption logic including automatic ground substitution.
• AI concierge routing as a planning service that consumes the same inventory API as the booking UI.
What is not built, stated plainly
No live rider bookings. No signed operator integrations. No fleet, no aircraft, no vertiport agreements. We are an independent development team building the digital layer and holding the category namespaces it would run on.
We say this explicitly because an acquirer's diligence will establish it anyway, and because the value proposition does not depend on overstating it. What is being offered is a defensible digital position plus a working framework — not a revenue-generating operator.
Technical brief on request
For operators, airlines or consortiums who want the architecture documentation, repository walkthrough and asset schedule: andrew.mc@nousdomains.com.
Sources & references
Primary material, official filings, and operator publications referenced while researching this article.
- Schema.org structured data vocabularyschema.org/
- Google Search Central documentationdevelopers.google.com/search/docs
- Tier IV — open-source autonomous driving (Japan)tier4.jp/en/
Strategic Asset
robotaxi.tokyo is open for acquisition or seed partnership.
The canonical URL for Tokyo's autonomous mobility layer. Talk to us before a competitor does.
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