Defense programs are asked to move quickly, prove assurance, and field software that behaves under real conditions. Lab time is scarce, hardware is evolving, and security evidence can lag behind engineering progress. Our digital-engineering approach closes that gap with high-fidelity processor digital twins that run real binaries and firmware, tie into simulation and hardware-in-the-loop, and produce the security artifacts programs need.

The result is a single, repeatable workflow that lets teams design, validate, and deploy with confidence—without waiting on a full hardware stack or bolting on security at the end. Developers see issues earlier, integrators keep schedules moving, and reviewers receive clear, consistent evidence.

How it works in program terms

• Build the digital twin. We model mission-relevant processors, peripherals, and timing so real software (including AI components) executes as it will on platform.

• Validate in context. Connect to simulation and HIL benches to exercise sensors, RF paths, and comms; capture timing, memory, and interface behavior under realistic loads.

• Integrate security early. Plan partitioning and isolation, prove secure/ measured boot chains, and host zero-trust communications and cryptography within the workflow.

• Automate the evidence. Generate SBOM, control selections, test results, and traceability to requirements—packaged to streamline RMF/ATO reviews. Reproducible builds and signed artifacts come standard.

• Deploy direct to hardware. The same configurations and images used in the twin flash onto target hardware with minimal changes, tightening the lab-to-range loop.

• Close the loop. Field telemetry and attestation feed back into the twin to reproduce issues quickly and validate fixes before redeploying.

Why it’s different
This isn’t a generic IT pipeline or a one-off simulation. It’s a mission-system-first workflow that preserves hardware realism, embraces mixed-criticality software, and treats security as a design constraint—not an afterthought. Teams keep momentum while accumulating the evidence that matters.

Where it helps
New capability spins, software re-hosting, cyber survivability reviews, spectrum-aware systems, and any effort that benefits from earlier risk discovery and shorter, more predictable paths to fielding.

Digital engineering also ties the rest of our stack together: insights from AI-enabled RF/cyber analysis feed tests and mitigations here, and final builds deploy on trusted execution foundations when protections must live on-platform.

Download the data sheet to see how a scoped pilot and toolchain integration would work for your program.