At Zorost Intelligence, systems engineering isn’t just documentation—it’s the disciplined art of turning complex, high-stakes goals into integrated, testable, and evolvable solutions.
We manage technical complexity across the full lifecycle—from concept and architecture through deployment, verification, and support. Our methodology blends structured modeling, model-based systems engineering (MBSE), risk-driven analysis, and agile adaptation—all grounded in real-world domains like aviation, defense, and healthcare.
Whether you’re modernizing air traffic control systems, integrating mission telemetry, or engineering cross-domain simulation platforms, Zorost delivers system architectures that are modular, resilient, and built to scale.
What We Deliver:
Mission Requirements Engineering
Capture, validate, and trace complex multi-stakeholder requirements using tools like Jama Connect, DOORS, or Azure DevOps.System Architecture Design
Engineer modular, scalable architectures using SysML, UML, and model-based tooling—aligned to mission outcomes and compliance needs.System Integration Planning
Define interfaces, protocols, timing, and test requirements across subsystems, edge devices, and cloud-native environments.Verification & Validation (V&V)
Align every stage of development with testable metrics, safety-critical constraints, and regulatory validation protocols.Lifecycle Support & Change Management
Implement governance frameworks for system evolution, documentation control, versioning, and CI/CD for embedded or hybrid systems.Safety-Critical Engineering & Redundancy Design
Apply fault tolerance, failure mode analysis (FMEA), and risk mitigation design patterns in aviation and defense settings.
Zorost’s Edge:
Built for Cloud + Physical Systems:
Zorost unites embedded systems with real-time cloud telemetry using platforms like Azure Digital Twins, AWS Greengrass, and Kafka-Event Hub bridges.Digital Thread Integration:
Seamlessly connect engineering artifacts—from requirements to deployment logs—with GitOps, DLT metadata pipelines, and Fabric observability layers.Compliance-Aligned Architecture:
Meet standards like DO-178C, ARP4754A, ISO 26262, and NIST SP 800-160—critical in aviation, medical, and government systems.Unified with AI & Simulation Tools:
Integrate systems engineering into model-based simulations, digital twin prototypes, and AI lifecycle monitoring for truly intelligent infrastructure.
Engineer robust, testable systems for aircraft scheduling, traffic control, terrain alerting, and onboard diagnostics.
Build secure, modular architectures for mission telemetry, control centers, and C4ISR systems using standards-based MBSE.
Design interoperable, compliant systems that integrate IoT sensors, EMR platforms, imaging pipelines, and safety diagnostics.
Engineer end-to-end SCADA and smart grid systems, from sensor data capture to cloud-based command-and-control platforms.
Model system behaviors, failure points, and modular control patterns for automation and industrial robotics ecosystems.
