Engineered from data to execution.
A modular infrastructure stack connects applications, APIs, market systems, intelligence models and secure data operations.
Modular boundaries make complex real-time products easier to test, secure and evolve.
The reference architecture separates data, intelligence, market and application responsibilities. This lets each capability develop independently while common observability and security controls follow information through the stack.
Modular architecture
Streaming data, model inference, market services and user-facing applications are designed as clear service domains with explicit interfaces.
- Streaming services
- Model services
- Market and portfolio services
Observable by default
Real-time reliability means knowing the freshness of data, the state of models and the health of systems—not just optimizing for speed.
- Freshness checks
- Service monitoring
- Replayable event logs
Governed operations
Restricted access, encryption, traceability and review are intended to protect data and consequential actions throughout the platform.
- Least-privilege access
- Encryption
- Auditable actions
A signal’s path through the stack
Each layer has one responsibility and a clear contract with the next.
Validate the input
Check identity, timestamp, completeness and permitted use.
Generate context
Apply versioned model services with monitoring and traceability.
Support participation
Connect pricing, execution, portfolio and risk capabilities.
Deliver the experience
Serve focused interfaces and APIs with consistent permissions.
Reliability is part of the product.
The intended architecture makes degraded conditions visible and defines how systems recover before they return to normal operation.
“The architecture is designed to turn high-velocity information into reliable product experiences.”
Capabilities designed for reliable operation.
Intelligence systems
Prediction models and streaming data processing create the intelligence foundation for EX products.
A model output needs its input snapshot, version and evaluation context. The design should support replaying an earlier assessment, comparing revisions and identifying missing inputs before a result reaches a product surface.
- Prediction models
- Real-time processing
- Model monitoring
Market systems
Trading infrastructure is separated into clear services for pricing, execution, portfolio and controls.
Clear boundaries make failures easier to contain. Order state, execution events and portfolio records should be reconcilable, with explicit handling for retries, interrupted requests and delayed downstream updates. These are reference-design requirements, not announced operating guarantees.
- Market engine
- Risk systems
- API layer
Trusted foundations
Cloud security and operational resilience are treated as product capabilities, not afterthoughts.
Access should follow the needs of each role, with reviewable changes and documented recovery procedures. Before an integration, partners should confirm data handling, incident contacts, service dependencies and the actual evidence available for security review.
- Cloud security
- Observability
- Access controls