AI-Native Requirements Management for Defense Engineering

Trace.Space keeps ITAR-restricted and classified requirements data inside your environment by deploying fully air-gapped, with no external network calls at any point. The AI runs inside your security perimeter, so requirements, traces, and verification evidence never leave the controlled environment. Programs governed by export controls or classification can run the platform on-premise or in a private VPC without routing data to outside services.

The AI features work in a fully air-gapped deployment because the models run locally inside your perimeter and make no external calls, even for inference. Gap detection, trace suggestions, and requirement analysis behave the same offline as they do in a connected environment, so nothing degrades when you cut network access. Classified programs get AI assistance without opening any path to outside networks.

Trace.Space maintains traceability across prime contractors and subcontractors by managing requirement allocations to each organization and tracking their deliverables against the assigned requirement sets. Traces hold across organizational boundaries instead of breaking when requirements move between teams through documents or spreadsheets. The AI flags missing or broken links, so allocation gaps surface before a milestone review rather than during one.

Trace.Space supports DoD acquisition milestones by structuring traceability from capability needs through system requirements, design, and test, then generating the evidence artifacts DoDI 5000 series reviews ask for. Teams lock requirement baselines at each milestone and compare versions across increments with full change history. Milestone reviews become a record you produce on demand instead of a last-minute traceability scramble.

Trace.Space supports defense specification standards including MIL-STD-961 and MIL-STD-881, security and privacy controls under NIST SP 800-53, and DO-178C where programs involve airborne software. The platform itself is SOC 2 Type II certified and ISO 27001 compliant. Traceability structures adapt to the standards your auditors actually check rather than forcing one fixed template onto every program.

Trace.Space scales across multi-decade programs by handling hundreds of thousands of interconnected requirements and traces across multiple system increments without performance degradation. A change introduced years into the program still shows its full downstream impact across hardware, software, and systems domains. The AI keeps scanning for broken traces and incomplete decompositions as the requirement set grows.