Trust Runtime™
A declarative execution engine that transforms business intent into running applications through files, events, and recipes.
No frameworks to learn. No infrastructure to assemble. No lock-in to inherit. It is just a server.
Grounded in fifteen years of research and production, from the GALE declarative engine at TU Eindhoven in 2012 to privacy-by-design in high-volume data processing today.
Four Pillars. One Coherent System.
Each layer is independently understandable, and together they eliminate the gap between business intent and running software.
Trust Runtime
CoreExecute Business Intent
The declarative execution engine. Reads recipes, processes events, runs your application. It is just a server, with no agents to install and no orchestrator to babysit.
Trust Fabric
Event Processing & Persistence
Event-sourced state and CQRS by default. Every change is a fact, every read is a projection. Full audit trail, time travel, and real-time projections built in.
Trust Recipes
Declarative Business Models
Your domain expressed as files: commands, events, projections, and policies. Versioned with your code, reviewable by humans, executable by the Runtime.
Trust Factory
AI-Powered Development
AI-assisted authoring of recipes, projections, and integrations. The Factory turns intent into Recipes; the Runtime makes them real.
Trusted 9 Platform
├── Trust Runtime
│ Execute Business Intent
│
├── Trust Fabric
│ Event Processing & Persistence
│
├── Trust Recipes
│ Declarative Business Models
│
└── Trust Factory
AI-Powered DevelopmentIt Is Just a Server
The Trust Runtime is a single process you run anywhere a server runs: your laptop, your datacenter, a VM, a container, the EU cloud of your choice. It reads Recipes, talks to the Fabric, and serves your application. No framework lock-in. No proprietary orchestrator. No hidden control plane.
Declarative, not imperative
You describe what should happen. The Runtime decides how, consistently and observably.
Files, events, recipes
Three primitives. Everything else is composition. Easy to read, easy to reason about, easy to evolve.
Runs where you run
On your own infrastructure, in the EU, or on-premise. Your data stays yours, your runtime stays yours.
Trust Runtime
Business intent in, running application out. The Runtime does the rest.
Every Change Is a Fact
The Fabric is the event-sourced backbone underneath the Runtime. Commands produce events, events build projections, projections serve your reads. You get a full history of why your system is in the state it is in, not just what state it is in.
Event sourcing, by default
State is derived from a stream of immutable events. Nothing is lost, nothing is overwritten, everything is auditable.
- Append-only event log
- Time travel and replay
- Audit-ready out of the box
CQRS without ceremony
Commands and queries are first-class and separate. Writes stay consistent, reads stay fast, and AI workloads plug in naturally on either side.
- Real-time projections
- Hot-swappable read models
- Native fit for AI pipelines
Declarative Business Models
Recipes describe your domain in plain, versioned files: the commands you accept, the events you emit, the projections you serve, the policies you enforce. The Runtime reads them and executes them. Your domain experts can read them. Your reviewers can review them. Your AI can help author them.
AI-Powered Development
The Factory is where business intent becomes Recipes. AI-assisted authoring, structured review, and continuous iteration. Frontend, backend, and AI evolve together, against a Runtime that does not change underneath you.
Intent in, Recipes out
AI helps draft commands, events, projections, and policies from business conversations. Humans review, refine, and approve. The Runtime executes.
From conversation to running system, without losing the thread.
Frontend, backend, AI in sync
The Factory aligns the entire delivery lifecycle. The Runtime stays stable; the Recipes evolve; the UI and AI integrations follow.
Delivery becomes faster and more predictable. Quality and trust remain central.
The next trillion-dollar AI question is who runs it, not who trained it.
Anthropic and Blackstone answered that question by funding Ode, a 1.5 billion dollar joint venture that sends forward-deployed engineers into enterprises to hand-wire AI, one company at a time. The bet is that implementation is the trillion-dollar category, not the model itself. We agree with the diagnosis. We disagree with the cure.
You do not need an army of grown-up generalists rewriting your business by hand. You need a runtime that already knows how, and skilled assistants that operate it for you.
The Consulting Bet
Buy engineers by the hour.
- Forward-deployed engineers, billed by the hour
- Elite generalists, in short supply
- Custom code per customer, custom to maintain
- Model-first, wired into vendor APIs
- Value trapped inside a consulting engagement
The Runtime Bet
Buy a runtime, operated by skills.
- Trust Runtime, deployed on day one, on your infrastructure
- Skilled runtime assistants operating through the Trusted 9 CLI
- Recipes, not bespoke codebases: readable, versioned, portable
- Runtime-first, model-agnostic, no vendor lock-in
- Value compounds inside your organisation, not a services firm
The playbook decides which skills your runtime needs.
The Runtime Playbook is not a fixed skill menu. It is a runtime system that inspects your context, composes the skills your implementation actually requires, deploys the configuration, provisions the servers, runs the tests, and reports back on what is still missing. If something is unclear, it opens the discussion instead of assuming. The skills you end up with are the ones your business-logic runtime needs, not the ones a template suggests.
Assess
The playbook reads your intent, your Fabric, and your infrastructure, then decides which skills your implementation actually needs.
Compose
It assembles skills on the fly: design, develop, deploy, test, operate, integrate, and any specialised skill the context demands.
Provision
The runtime deploys configuration, spins up servers, wires adapters, and prepares the environment as a runtime action.
Verify
Recipes are replayed, projections asserted, policies validated. The playbook checks what is missing before it hands control back.
Discuss
If a skill is missing, a decision is unclear, or a trade-off needs a human, the playbook opens the conversation instead of guessing.
Evolve
New skills are added, existing skills refined, and the playbook learns which combinations belong to your runtime, not a template.
The Investment Question
Why raise billions to hand-wire AI, if a runtime can run it?
Ode needs 1.5 billion dollars to scale a boutique of elite generalists, because every customer becomes a bespoke project. That is the cost of an implementation model built on people, not on a runtime.
Trusted 9 delivers the same outcome, an AI strategy in production, through a declarative runtime and skilled assistants that operate it. You get design, development, deployment, testing, backup, and restore as runtime actions, not as billable hours. That is what dependency-free implementation looks like.
