Systems
Independent parts, coherent systems.
Research is useful only when it runs reliably. We engineer the systems that carry evidence from observation to decision — explicit about their state, narrow in their interfaces and predictable when something goes wrong.
A reversible system
What the cube stands for
- Independent components
- Each cubie is simple and self-contained. None of them knows the state of the whole.
- Interaction
- A single turn moves nine cubies at once. Local actions have system-wide consequences.
- State transitions
- Every turn is a discrete, recorded transition. The system can always say how it reached its current state.
- Coherence
- Because the record is complete, applying it in reverse restores the original state exactly — every time.
The cube restores itself only because it replays its own recorded history. It does not analyse an arbitrary scrambled state, and it is not a general solver. That limitation is the point: in the systems we build, recovery depends on a complete record, not on inference after the fact.
What we build
- Evidence pipelines
- Data enters through versioned, validated pipelines. Each observation carries where it came from, when it became known and what was done to it.
- Orchestration
- Research jobs, simulations and scheduled work run under an orchestrator that records what ran, with which inputs and on which version of the code.
- State
- Consequential state has one authoritative home. It changes only through explicit, recorded transitions, and can be replayed.
- Evaluation
- Models are evaluated continuously against held-out data and simple baselines, and retired when they stop earning their place.
- Execution boundaries
- Research, simulation and live operation are separated by hard boundaries. Nothing crosses from one to another without an explicit, attributable decision.
- Observability
- Systems report their own health, latency and data freshness, and say so plainly when their inputs are stale or incomplete.
- Governance and safeguards
- Limits, approvals and shutdown paths are enforced by the systems themselves, not by convention, and are tested like any other feature.
How we build
Deterministic replay
The same inputs produce the same outputs, so experiments can be reproduced and incidents reconstructed.
Narrow interfaces
Components communicate through small, typed interfaces, so each can be tested, replaced and reasoned about on its own.
Fail closed
When inputs are missing, stale or inconsistent, systems stop rather than guess.
Human authority
Consequential actions require explicit, attributable authorization.