GaiaWM · Data Room

03 · Business model

The category

We sell world simulation infrastructure, not an AI-NPC platform — and not a “digital twin dashboard” either.

The engine is one artifact (01): the same versioned world substrate, rules language, fork machinery, and calibration surface underneath every deployment. What changes between markets is only the data plane — which geography loads as the world, which rules corpus governs it, and who the minds are. That single fact is the capital-efficiency story of this document: the three markets below are three go-to-markets over one maintained engine, not three products. An engineering week spent on the overlay, the rules language, or calibration lands in all three simultaneously.

Market The world is The rules are The minds are The buyer’s real alternative
Games Fictional geography (Toril, Golarion, …) Designer-authored world law NPC populations Eighteen months of internal platform work their engine team doesn’t want to own
Urban digital twins A real city — open data, sensors, OSM geometry Traffic, mobility, and policy dynamics Synthetic citizens Dashboard “twins” that describe but cannot answer what if; traffic simulators with no behaviour in them
Defence & disaster resilience Real geography plus a scenario Doctrine, crisis dynamics, propagation Civilian populations + responder units, per-side Exercise contractors, spreadsheet MSELs, and constructive sims whose civilians are scripted

Games (unchanged, and still first)

The AI-NPC shelf is crowded and structurally doomed: every wrapper’s value shrinks with each model release, and studios know it. The shelf we occupy is older and duller — the systems studios already build in-house and dread maintaining: quest databases, faction state machines, schedule systems, the lore bible nobody updates. Nobody sells this layer commercially for the generative era, and studios are currently rebuilding it badly, one in-house wiki at a time.

Urban digital twins

Most products sold as “digital twins” are visualisation: sensor feeds rendered onto a 3D city, descriptive and mute. Ours is populated and falsifiable. The engine ingests a city’s open data as observed metrics (our running pilot ingests Bologna’s municipal traffic-sensor feed), runs synthetic citizens against the same streets, and — this is the product — measures its own divergence from reality, per rule. The first calibration run against Bologna produced the sentence “the model has no morning rush”: the engine diagnosing, quantitatively, exactly where its behavioural model departs from the measured city. A twin that can tell you where it is wrong is a twin you can responsibly base a policy decision on; a twin that can’t is a rendering.

On top of that honesty sits the counterfactual machinery: any world can be forked copy-on-write, injected with a change — close this bridge, pedestrianise this quarter, reroute this bus line — and run forward at compressed time under a fixed seed, with the fork’s divergence from the baseline measured by the same calibration surface. The methodology is published: the underlying agent/unit/map-rule model is our SMARTGREENS 2025 paper (see 04); the engine is its implementation.

Defence & disaster resilience

Exercise design today means spreadsheet MSELs, scripted role-players, and constructive simulations whose civilian populations are decorative. Our population is the point: embodied agents that perceive locally, metabolise stress, forget, and pass information agent-to-agent — so evacuation compliance, rumour dynamics, and the behaviour of people in smoke are simulated phenomena, not facilitator assertions.

The engine primitives map one-to-one onto exercise practice:

We enter through disaster and civil protection — dual-use in the benign direction, softer procurement, publishable results — and let defence work arrive through partners under the guardrails below.

Who pays

Games — the studio CTO / technical director of teams building open-world or systemic games with persistent state — especially teams whose generative-NPC prototype didn’t survive contact with shipped game state. Their creative director is the second audience: designers define a world’s laws once, and the runtime enforces them everywhere. We deliberately let three segments go: “AI NPC plug-in” shoppers, F2P live-ops shops measuring DAU lift, and indies needing turnkey this quarter — those get the free tier as goodwill and funnel, not as strategy.

Urban twins — the municipality’s mobility/planning department and the engineering consultancies that already sell it twins. Cities rarely buy engines; they buy studies and systems from consultancies they trust. The consultancy is therefore a channel, not a competitor: they keep the client relationship and the domain modelling, we supply the behavioural engine their dashboard-twin lacks. Direct adjacents: utilities and mobility operators (their networks are already first-class objects in the world model), and insurers, who want the counterfactual machinery pointed at exposure.

Defence & disaster — civil-protection agencies and exercise/training organisations first; defence primes and training integrators as the channel into defence proper. This buyer’s non-negotiables — sovereignty, on-premises deployment, no data leaving the building, bring-your-own-models — are not a compliance retrofit for us: BYOK and self-hosted runners are the architecture (see the ownership layer in 01). A distributed exercise where each cell runs its own minds against a shared world is the same deployment shape our independent ghost runner ships today.

Commercial shapes

Games keeps the four-tier structure:

Tier What it is What it’s for
Free indie Full engine for small teams Goodwill, ecosystem seeding, tomorrow’s mid-size customers
World licence Monthly per-world licence for the production-supported engine: hosted or on-prem, maintained internals, integration support, SLA The core revenue line: priced so build-vs-buy favours buying for any studio whose engineering time costs more than the licence
Per-NPC / per-player usage Usage-based component on top of the licence Captures value as a shipped game’s population and player base grow
Enterprise BYOK Custom deployment, private adapters, designer tooling Large studios

Urban twins follow a build → run → ask arc:

Defence & disaster is episodic plus standing:

Numbers stay in the BD conversation by design; the shape is public so the conversation starts honest.

We do not monetise inference — ever. Agents run on the customer’s model keys (BYOK). This removes the “lock-in to your inference provider” objection, keeps our margin structure clean of token-price exposure, means every model-provider price war makes our layer relatively more valuable — and, in the public-sector verticals, it is the difference between passing and failing a sovereignty review.

The academic branch stays non-revenue

“Analysis of the absence” (04) — searching simulated historical contexts for those consistent with a visible phenomenon — is deliberately not a revenue line. It is grant- and collaboration-funded, buys method citations and credibility, and matters more now, not less: it is the same abductive machinery the urban twin sells (“which contexts are consistent with what we can measure?”) pointed at the past, and every published, peer-reviewed use hardens the methodology the paying verticals stand on.

The OSS ↔ commercial seam

Open infrastructure attracts believers; the commercial licence monetises integrated scale. The line between the two is explicit and durable:

The cannibalisation question, answered honestly: yes, a sufficiently determined engineer could rebuild a passable engine from our published architecture. Defensibility is not secrecy — it is that the maintained version, the affordance schema as a product, the per-engine integrations, the world-data adapters, and the compounding calibration dataset are a specialised team’s full-time roadmap. Guardrail: nothing ships to the OSS layer if it removes a reason to license.

Dual-use guardrails

Entering the defence-adjacent market obliges us to say what we will and will not build, before a customer asks us to:

This section is a diligence asset, not a disclaimer: the customers worth having ask.

Why this survives the model wars

The moat is shaped like infrastructure, not like a model:

  1. The ontology layer doesn’t commoditise. Better models make integration cheaper and world-law enforcement more valuable — smarter ghosts need better shells.
  2. Standards gravity. Every geomqtt client, Foundry install, ghostkit haunt, and open-data importer makes our formats the path of least resistance.
  3. The calibration dataset compounds — now across three ground truths. Fictional worlds at population scale, a real city’s sensors, and exercise outcomes all feed the same behaviour-vs-prediction dataset. Nobody else has longitudinal calibration data from embodied LLM populations against measured reality; it improves the product in every vertical at once and is unforgeable by a fast follower.
  4. BYOK neutrality. Whichever model provider wins, we are the layer that makes their model useful in a persistent world — we don’t compete with any of them, and we pass every sovereignty review they fail.
  5. Public reference customers compound differently. A shipped game logos a slide; a city that renews its calibration report, or an agency that re-books next year’s exercise, is a reference that procurement officers call.

Go-to-market

Founder-led engineering credibility plus a dedicated business-development lead, with a strict seam between them: marketing artifacts (talks, technical deep-dives, public demos, the OSS floor) make outreach land warm and arm the internal champion; BD owns the list, the qualification, the pricing conversation, and the close. The motion measures itself on next-steps-booked, not compliments collected.

Each market gets its own wedge, anchored to what already exists:

Sequencing is portfolio logic, not a pivot: games funds and proves the engine at population scale; urban twins is grant-fundable now on running evidence; defence enters through disaster at its own procurement pace. One engine roadmap underneath all three — and per 02, a vertical pulls its Horizon-3 items forward the moment a partner or grant lands. The year-by-year version — targets, hires, funding, and the kill criteria for each motion — is the business plan.