Adopt AI
Without Surrendering
Engineering Control.
Adopt AI within safety-critical engineering programs through governance, human authority preservation, and enterprise-controlled deployment.
The Future Is Not Just AI.
It Is Governed Intelligence.
Safety-critical engineering requires more than analytical capability. It requires governance, accountability, traceability and preserved human authority.
Human Authority
Is Absolute.
AI investigates AI analyzes. AI informs.
Humans review. Humans decide. Humans remain accountable.
Governed Intelligence
For Safety-Critical Engineering.
AERIS enables organizations to adopt AI without surrendering engineering governance, human authority or enterprise control.
Governed Operation
AI operates within defined engineering boundaries and review constraints.
Human Authority
Human review, decision making and accountability remain preserved.
Air-Gapped Deployement
Deploy inside enterprise-controlled and air-gapped environments.
Built For Complex Engineering Investigation
AERIS provides a governed engineering workspace for requirements review, verification assessment, traceability investigation and cross-artefact analysis across the engineering lifecycle.
Built Around Understanding.
AERIS establishes context, investigates engineering relationships, applies governed intelligence and produces informed observations for human review.
Context
Engineering questions rarely exist in isolation. AERIS establishes relevant engineering context before analysis begins.
Investigation
Relationships, dependencies and engineering evidence are explored to establish a deeper understanding of the problem.
Governed Intelligence
Analysis operates within defined engineering boundaries and human authority constraints.
Informed Observations
Structured observations are produced to support engineering review, investigation and human decision making.
AERIS Understands Before It Investigates.
AERIS establishes engineering context before investigation, creating a structured understanding of relationships across the lifecycle.
AERIS builds engineering understanding before investigation begins.
A Unified Environment For Engineering Intelligence.
Bringing engineering knowledge together across the lifecycle.
Investigated within a governed engineering workspace designed for safety-critical programs.
Better Understanding. Better Investigation. Better Outcomes.
AERIS establishes engineering understanding before review and investigation begin. This enables earlier insight, improved visibility and higher quality engineering outcomes.
More Consistent Engineering Reviews
Earlier Identification Of Engineering Risks
Improved Lifecycle Visibility
Reduced Manual Investigation Effort
Better Prepared Review Activities
Engineering understanding provides the foundation for effective investigation. AERIS helps teams establish that understanding before decisions are made.
Built Around Human Authority.
AERIS is designed for safety-critical engineering environments where governance, accountability, data control and human authority cannot be delegated to AI systems.
Built For Safety-Critical Engineering
AERIS was designed to solve the AI adoption problem for safety-critical engineering environments.
Governed Intelligence
AI operating inside controlled engineering boundaries.
- ✓ Policy Enforcement
- ✓ Controlled Scope
- ✓ Audit Visibility
- ✓ Review Boundaries
- ✓ Lifecycle-Aware Operation
Human Authority Preservation
Human initiates. AERIS analyzes. Human decides.
Air-Gapped Deployment
Enterprise-controlled appliance deployment.
- ✓ Air-Gapped Operation
- ✓ Local LLM Support
- ✓ Enterprise Authentication
- ✓ Audit Logging
- ✓ Workspace Isolation
Lifecycle Awareness
Engineering artifacts analyzed as a connected system.
Explore How AERIS Fits Into Your Engineering Environment.
Whether you are evaluating AI adoption, improving engineering review quality or exploring deployment within a safety-critical program, AERIS can operate within your existing engineering and governance environment.
Engineers remain responsible for all decisions, approvals and review outcomes.
Deploy within enterprise-controlled infrastructure and security boundaries.
Supports isolated and offline deployment environments when required.
Architectural boundaries preserve accountability and governance.