Designed with AI or code
Start with natural-language intent, engineering requirements, or code-defined inputs and keep the resulting models structured and reviewable.
One product. One runtime. Endless possibilities.
From protocol simulation to AI-assisted digital twins
SPX combines real protocol simulation with AI-assisted, code-defined digital twins, so engineering teams can create, run, connect, validate, and automate system behavior before hardware is ready.
Device catalog
Why SPX exists
Build and validate system behavior before hardware is ready.
SPX gives engineering teams a live digital twin runtime for earlier integration, protocol testing, and validation.
Simulate protocols with real behavior
Connect software to MQTT, BACnet, Modbus, OPC UA, or KNX behavior instead of testing against static protocol mocks.
Run everything in one runtime
Instantiate the twin, inspect live state, replay scenarios, validate faults, and automate the checks from one product.
Runtime proof
Inspect a running digital twin, not a static mock.
SPX exposes live instances, values, scenarios, communication endpoints, and debugging evidence while the twin is running.
Runtime dashboard with active digital twins, live values, and observability.
Live twin instances
Inspect endpoints, values, state, and health for each running digital twin in one place.
Runtime scenarios and snapshots
Recreate timing-sensitive flows and restart from known baselines without rebuilding your whole test environment.
Observability while behavior is live
Diagnose faults, drift, and communication behavior from runtime evidence instead of inferring from incomplete stubs.
Protocols
Protocol simulators connected to running digital twins.
Use the same SPX product to validate MQTT, Modbus TCP, OPC UA, BACnet, KNX, OCPP, SCPI, CoAP, and BLE integrations against controllable twin behavior.
Simulate connected devices, topic flows, and reconnect behavior with live twin state.
Validate nodes, namespaces, subscriptions, and client behavior against live twin state.
Test registers, scaling, timing, reads, writes, and faults against live device behavior.
Test objects, properties, schedules, alarms, and building behavior before commissioning.
Validate group addresses, sensors, actuators, schedules, and automation behavior.
Test charge points, CSMS flows, transactions, meter values, and reconnect behavior.
Validate short-range device links, characteristic updates, and embedded integration behavior.
Test resource trees, constrained devices, observe flows, and LwM2M integration.
Validate instrument commands, measurements, state changes, and firmware test flows.
Developers
From runnable models to CI/CD workflows.
Start with a protocol simulator or AI-assisted digital twin, then drive repeatable scenarios, protocol checks, and regression tests from Python, Docker, and CI/CD.
Install SPX
Getting Started
A quick onboarding page for installing SPX, checking requirements, connecting MCP, and running the first example.
Develop SPX Library
SPX Examples on GitHub
Runnable examples, tests, profiles, and implementation patterns for SPX SDK and server workflows.
MCP-ready workflows
MCP Workflow
Local MCP guidance for agent-assisted model inspection, validation, runtime control, and repository work.
CI/CD-ready workflows
CI/CD Workflows
Run scenarios, protocol checks, and regression tests against the same digital twins in repeatable engineering pipelines.
Ready to start
One product for protocols, twins, validation, and CI/CD.
Simulate real communication, design behavior-rich twins with AI, validate the whole system, and automate proven checks before hardware is ready.