Part of Arc Suite
Drives mission workflows machine-to-machine across multi-vendor services, and validates what actually executed against what was expected
Arc Orchestrator drives a mission workflow across many vendors' services, calling each one machine-to-machine in dependency order, so you can build and exercise the whole flow before it reaches operations.
Services plug in through a standard adapter, so a real provider progressively replaces any simulated step. Our launch-weather go/no-go engine, L-WANE, is the first live service wired into a workflow. Because a single workflow definition drives both execution and the expected view, Arc Orchestrator continuously compares what actually ran against what should have run, so operators see what executed, what degraded, and what failed, in the same place they already monitor compliance and data lineage.
The same engine runs entirely simulated, so developers can stand up a full multi-vendor workflow and build and test new integrations before live services are in place. Arc Orchestrator is the newest Arc Suite capability, built on the observability platform proven in production for nearly a year at the USSF Space Domain Awareness (SDA) TAP Lab.
Sequences multi-vendor service calls in dependency order, machine-to-machine, and keeps the workflow moving when a service is slow or unavailable instead of stalling
Integrate any provider through a standard adapter (REST, Kafka, or another interface). Adding one is a single adapter plus one config entry, with no change to the execution core
One workflow definition drives both execution and the expected view, so every run is compared against expectation, surfacing what ran, what degraded, and what failed
Stand up an entire multi-vendor workflow in a fully simulated environment to develop and validate integrations before live services are available
Model the mission as a graph of services and their dependencies. One definition is the single source of truth for both execution and the expected view
Walks the graph in dependency order, calling real services over their standard interfaces and synthesizing any step that is not yet backed by a live provider
If a required input arrives too slowly or not at all, that step is treated as missing and the workflow keeps moving, with each step stamped with its execution status
Executed workflows are compared against the expected definition and surfaced through the Arc Suite dashboards alongside compliance and data lineage
Orchestrate detection, weather, and processing workflows across many providers in a single mission thread, adding each provider as its own service node.
Developers build and validate new service integrations against a realistic, fully simulated federation, then swap in the live provider one node at a time, with no change to the execution core.
Extensible to any reachable service ecosystem where workflows span multiple vendors and resilience matters, from defense programs to industrial and infrastructure networks.
See how Arc Orchestrator drives multi-vendor workflows machine-to-machine and validates every run against expectation