Orix Platform: Executive Overview
Orix Platform: Executive Overview
Version: 1.0 Date: 2026-01-06 Audience: Technical and Business Leadership
What is Orix?
Orix is a deterministic simulation platform that guarantees identical behavior across all devices, operating systems, and runs when given the same inputs. Built on five immutable laws (Determinism, Discreteness, Causality, Schema Authority, and Traceability), Orix enables applications that require perfect reproducibility: multiplayer games with predictable state synchronization, financial systems with auditable calculations, distributed simulations with verifiable outcomes, and time-travel debugging for complex systems.
The Problem
Modern applications face three critical challenges when building simulations or distributed systems:
Cross-Platform Inconsistency: Floating-point arithmetic produces different results on different CPUs and operating systems. A physics calculation on Windows may not match the same calculation on Linux or mobile devices, breaking multiplayer games and distributed simulations.
Non-Reproducible Behavior: Most systems depend on wall-clock time, random number generation, and hash-based collections that produce different results on each run. This makes bugs impossible to reproduce, audits unreliable, and testing non-deterministic.
Data Model Drift: Hand-written data models diverge from specifications over time. API contracts break silently. Storage formats become incompatible. Version migrations fail because the source of truth is scattered across code, databases, and documentation.
These issues compound in distributed systems where multiple nodes must agree on state, in financial applications where calculations must be auditable, and in games where client predictions must match server authority.
The Solution
Orix replaces non-deterministic primitives with deterministic equivalents and enforces schema-first development through code generation. The platform consists of nine integrated products:
┌─────────────────────────────────────────────────────────────┐│ PACKS ││ (Domain Extensions) │├─────────────────────────────────────────────────────────────┤│ AIRLOCK │ FLUX │ NEXUS │ ECHO │ LUMEN │ ARBITER │├───────────┴────────┴─────────┴────────┴─────────┴───────────┤│ LATTICE ││ (Storage + Query) │├─────────────────────────────────────────────────────────────┤│ AXION ││ (Schema + Codegen) │├─────────────────────────────────────────────────────────────┤│ ATOM ││ (Deterministic Primitives) │└─────────────────────────────────────────────────────────────┘Core Architecture
Atom provides deterministic primitives that replace standard library types. Instead of float and double (platform-dependent), Atom provides DFixed64 (Q32.32 fixed-point). Instead of DateTime.Now (wall-clock time), Atom provides Tick (discrete time units). Instead of System.Random (non-deterministic), Atom provides OrixRandom(seed) (deterministic randomness). Collections like UnsafeMap and UnsafeSet ensure stable iteration order.
Axion is a schema language and code generator that serves as the single source of truth for all data types. Instead of hand-writing models that drift from specifications, developers define entities in .axion files and generate C# (and TypeScript, Python) code. Schema changes are versioned, validated, and migrated automatically. All data crossing boundaries (API, storage, network) must originate from Axion schemas.
Lattice provides deterministic storage with time-travel capabilities. The Chronicle subsystem records every state change, enabling rewind to any prior tick. CRDTs (Conflict-free Replicated Data Types) enable distributed consensus without coordination. Full-text search, replication, and encryption are built-in. Storage format is binary (Axion-generated) for efficiency and schema enforcement.
Flux is the simulation runtime built on Entity-Component-System (ECS) architecture. Simulations advance in discrete ticks. Systems process entities in deterministic order. State changes are isolated to tick boundaries. This enables predictable multiplayer synchronization and reproducible physics.
Nexus handles networking with deterministic state synchronization. Delta compression minimizes bandwidth. Authority models (client-predicted, server-authoritative, peer-to-peer) are configurable. All network messages are validated against Axion schemas. Network partitions and race conditions are handled deterministically.
Echo provides recording and playback for simulations. Record a session at tick granularity, replay it identically on any platform. Time-travel debugging lets developers rewind to any tick, inspect state, and fast-forward. Input recordings serve as integration tests that verify determinism.
Lumen offers observability without breaking determinism. Metrics, logs, and traces are emitted asynchronously (outside simulation tick). Distributed tracing correlates events across nodes. Performance profiling identifies hot paths. All instrumentation is marked [Ambient] to indicate non-deterministic operations.
Arbiter is the testing framework that verifies determinism guarantees. Property-based tests run scenarios with different random seeds to find edge cases. Determinism tests ensure the same seed produces identical results across platforms. Benchmarks measure performance and detect regressions.
Airlock manages secrets and credentials for distributed deployments. Hierarchical namespaces separate concerns. Shamir secret sharing enables threshold-based access. All cryptographic operations use deterministic algorithms where appropriate (signing) and true randomness where required (key generation), properly marked with [Ambient].
Products at a Glance
| Product | Purpose | Key Feature |
|---|---|---|
| Atom | Foundation primitives | DFixed64 replaces float/double for deterministic math |
| Axion | Schema system | Code generation from .axion schemas eliminates model drift |
| Lattice | Storage and query | Chronicle time-travel: rewind to any tick in history |
| Flux | Simulation runtime | Tick-based ECS ensures reproducible state transitions |
| Nexus | Networking | Delta compression + deterministic state sync |
| Echo | Replay system | Record once, replay identically on any platform |
| Lumen | Observability | Non-intrusive metrics/logs that preserve determinism |
| Arbiter | Testing framework | Property-based tests + determinism verification |
| Airlock | Secrets management | Threshold-based secret sharing for distributed systems |
Use Cases
Gaming
Multiplayer games require all clients to agree on game state. Orix’s deterministic primitives ensure physics calculations match across platforms. Flux ECS provides frame-rate-independent simulation. Nexus handles client-side prediction with server reconciliation. Echo enables match replays and demo recording. Lattice Chronicle allows rewind for spectating or investigation.
Example: A competitive multiplayer game records tournament matches with Echo. Replays are bit-identical to live gameplay. Players can rewind to any moment. Anti-cheat systems verify state transitions match server authority.
Finance
Financial calculations must be auditable and reproducible. DFixed64 eliminates floating-point rounding errors that cause discrepancies across platforms. Axion schemas define calculation rules as code. Arbiter verifies properties like “sum of transactions equals account balance.” Chronicle provides complete audit trails. Lumen traces transactions across distributed ledgers.
Example: A trading platform executes order matching with deterministic price calculations. Regulators can replay any trading session and verify compliance. Chronicle records every state change for audit. Time-travel debugging identifies the exact tick where anomalies occurred.
IoT and Distributed Simulations
Sensor networks and distributed simulations require coordinated state across unreliable networks. Lattice CRDTs enable eventual consistency without coordination. Deterministic tick-based processing ensures nodes converge to identical state. Nexus handles network partitions gracefully. Echo enables post-mortem analysis of distributed failures.
Example: A smart grid simulation models power distribution across thousands of nodes. Each node runs Flux simulations in parallel. Lattice replication syncs state changes. Chronicle records grid state at one-second intervals. Engineers replay outage scenarios to test mitigation strategies.
Distributed Systems
Backend services require consistent behavior across deployments. Axion schemas define API contracts that cannot drift. Deterministic processing enables reproducible integration tests. Lattice provides distributed storage with time-travel debugging. Airlock manages credentials across environments. Arbiter verifies system properties hold under chaos engineering.
Example: A payment processor handles millions of transactions daily. Axion schemas define transaction formats. Deterministic processing enables exact replay of production traffic in staging. Chronicle records all state changes. Time-travel debugging identifies the exact sequence of events that caused a failure.
Getting Started
For Developers
Begin with the product-specific documentation to understand each layer. The Atom Foundation document covers deterministic primitives. Axion Schema explains schema-first development.
For Business Leaders
Start with the Business Overview for market positioning and value propositions. Review product documents for capabilities and use cases.
For Operators
Airlock covers secrets management. Lumen provides observability guidance. Arbiter ensures determinism verification.
Meeting Documents
| Document | Purpose |
|---|---|
| 01 - Atom Foundation | Deterministic math, collections, primitives |
| 02 - Axion Schema | Schema language and code generation |
| 03 - Serialization | Binary encoding and compression |
| 04 - LatticeDB | Storage, queries, and CRDTs |
| 05 - Chronicle | Time-travel database |
| 06 - Airlock | Secrets management |
| 07 - Flux | ECS simulation runtime |
| 08 - Nexus | Networking and sync |
| 09 - Echo | Recording and replay |
| 10 - Lumen | Observability |
| 11 - Arbiter | Testing framework |
| 12 - Technical Deep-Dive | Architecture details |
| 13 - Business Overview | Non-technical summary |
Summary
Orix solves cross-platform consistency, reproducibility, and data model drift through deterministic primitives and schema-first development. The platform supports gaming, finance, IoT, and distributed systems where predictable behavior is non-negotiable. Built on five immutable laws enforced by code analyzers and CI, Orix guarantees that same inputs produce identical outputs across all platforms, all runs, forever.
Contact: For questions, create an issue in the repository or consult the governance documentation.
Document Version: 1.0 Last Updated: 2026-01-06