Physical AI Product Verification & Validation Safety Case Analysis

Safety Case Analysis for High-Reliability Systems

System safety assessment backed by clear evidence, structured reasoning, and rigorous testing.

Safety Case Analysis Services for Regulated & Mission-Critical Physical AI

DDD helps you build, organize, and maintain safety cases that demonstrate your system is safe, well-tested, and aligned with appropriate standards. We ensure your safety case is evidence-driven, auditable, and ready for internal approval or external certification.

Our Safety Case Analysis Use Cases

Autonomous System Safety Cases

Demonstrate safe behavior across ODDs, scenarios, sensor failures, edge cases, and uncertain environments.

Safety arguments and structured evidence packages
Hazard identification and misuse analysis
Scenario-based risk mapping for AVs, drones, AMRs, and industrial robots
Sensor fusion failure analysis and fallback strategy validation
Safety case updates for continuous deployment and OTA changes

Defense & Mission-Critical Systems

Document safety and reliability for systems where human life, operational tempo, and mission outcomes depend on predictable behavior.

Hazard assessments and mission risk evaluations
Human-machine teaming safety arguments
Autonomous ISR / UAS safety justification
Fail-safe and degraded-mode behavior documentation

Medical Device Software & Clinical AI

Map evidence and verification results and broader clinical safety expectations.

Algorithm change impact assessments
Bias, robustness, and drift documentation for clinical AI
Risk control verification and traceability to clinical harms
Pre-submission safety case support for regulatory filings

Industrial & Service Robotics

Show compliance and interaction safety requirements for human–robot collaboration.

Workspace hazard mapping and protective measure justification
Power-and-force limiting analysis for collaborative robots
Emergency stop, speed, and separation monitoring verification
Safety evidence for warehouse, factory, and commercial service robots

Aviation & Unmanned Aircraft Systems (UAS)

Support airworthiness and operational safety justification for autonomous and semi-autonomous aviation systems.

Ground risk and airspace integration assessments
Failure mode and redundancy argumentation

Smart Environments

Ensure safe operation of AI systems embedded in buildings, cities, and industrial sites.

Safety case development for AI-controlled access, monitoring, or energy systems
Risk analysis for sensor networks and distributed decision-making
Evidence for fail-safe transitions and emergency behaviors

Industries We Support

Autonomous Driving

Safety-case construction for ADAS/AV systems, including scenario risk modeling.

Defensetech

Hazard analysis, risk justification, and mission-safety argumentation for defense systems and autonomous platforms.

Healthcare

Safety documentation aligned with clinical evidence requirements.

Robotics

Safety cases for collaborative robots, mobile robots, and autonomous systems in dynamic environments.

Fully Managed Safety Case Analysis

DDD manages the end-to-end lifecycle:

Discovery & risk scoping

Define hazards, failure modes, operational design domains, and system boundaries.

Safety requirements & framework alignment

Map product requirements to standards.

Hazard analysis & risk modeling

Perform reviews, scenario risk mapping, and severity-likelihood scoring.

Evidence gathering & organization

Connect verification and validation results, test logs, telemetry insights, and mitigations into structured safety evidence.

Safety argumentation & case construction

Build safety arguments with claims, subclaims, evidence references, and rationale.

Review, auditing & updates

Support internal safety reviews, external assessments, and continuous updates as products evolve.

What Our Clients Say

DDD transformed our fragmented evidence into a clean, defensible safety case that accelerated internal approval.

— VP Safety Engineering, Autonomous Vehicle Company

Their hazard analysis was instrumental in securing a key defense audit.

— Program Safety Lead, Defense Contractor

Our medical device submission went smoother thanks to DDD’s structured safety argumentation.

— Director of Regulatory Affairs, MedTech Firm

We now have a repeatable safety-case process for every new release cycle.

— Project Manager, Autonomous Systems Manufacturer

Why Choose DDD?

Human-in-the-Loop

Expert analysts review every hazard, claim, and evidence link for completeness and clarity.

Scalable Evidence Synthesis

Our teams handle large volumes of test data, hazard logs, and scenario evidence, turning complexity into clarity at scale.

Transparent & Auditable Workflows

Every claim, hazard, and evidence link is traceable, reviewable, and version-controlled—built for audit and regulatory scrutiny.

Collaborative, Engineering-Driven Approach

We work directly with your safety, validation, and engineering teams, integrating seamlessly into your product lifecycle

Blogs

Read expert articles, insights, and industry benchmarks across physical AI.

How Data Labeling and Real‑World Testing Build Autonomous Vehicle Intelligence

This blog outlines how data labeling and real-world testing complement each other in the Autonomous Vehicle development lifecycle.

Building Digital Twins for Autonomous Vehicles: Architecture, Workflows, and Challenges

In this blog, we will explore how digital twins are transforming the testing and validation of autonomous systems, examine...

How to Conduct Robust ODD Analysis for Autonomous Systems

This blog provides a technical guide to conducting robust ODD analysis for autonomous driving, detailing how to define, structure,...

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Expert-Led Safety Analysis for Physical AI Systems

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Frequently Asked Questions

What is a safety case, and why do I need one?

A safety case is a structured argument that your system is acceptably safe for its intended use, backed by evidence. It is often required for regulatory approvals, customer assurance, or deployment of high-risk systems in the real world.

What types of systems does DDD support in safety case development?

We work across AI-driven systems, autonomous vehicles, defense and mission-critical platforms, medical device software, industrial robotics, service robots, and other high-reliability technologies.

How do you gather and organize safety evidence?

We connect test results, hazard analyses, mitigations, scenario data, and design documentation into a traceable structure, creating a clear, defensible narrative for regulators and stakeholders.

What role does human expertise play in your safety case process?

Every hazard, claim, causal chain, and evidence link is reviewed by trained safety analysts, ensuring contextual understanding and rigor that automated tools alone cannot provide.

Can DDD help update or maintain a safety case over time?

Yes. We support continuous updates as your system evolves, new scenarios, new software versions, additional mitigations, or updated risk assessments.

How scalable are your safety case operations?

Our global evaluation and safety teams scale from small expert reviews to large, complex, multi-system safety case builds, depending on your product lifecycle and regulatory needs.