Midgard's architecture brings evidence, operational context and human authority together. NESFA organizes NORNS workflows for defense, counter-UAS and critical infrastructure protection. Yggdrasil Core provides the shared technical foundation across the portfolio.
Target architecture. Implementation and validation scope varies by capability.
01 · FUSION ARCHITECTURE
NORNS EVIDENCE-STATE FUSION ARCHITECTURE
NORNS Evidence-State Fusion Architecture keeps sensor reports connected to their evidence and assessed state. Operators can inspect confidence, contradictions and provenance without confusing an observation with an assessment or a possible future.
The same organizing principles apply to counter-UAS assessments; sensor support and validation scope are confirmed per capability.
02 · CONTROL BOUNDARIES
CONTRIBUTION · DECISION · INFORMATION RELEASE
The initial NORNS deployment model serves one customer operational domain per instance. Contribution, decision and information-release permissions are defined for that domain.
Multi-site scope is agreed during technical evaluation. Multi-customer federation remains a planned capability.
03 · PLATFORM FOUNDATION
SHARED TECHNICAL FOUNDATION
The shared technical foundation supports identity, controlled information access, evidence records and auditability.
Platform capabilities and supported integrations are confirmed for the agreed deployment scope.
AI · ANALYTICS · PREDICTION
We develop AI-assisted methods to analyze patterns and explore possible future states. Neural-network models form part of our prediction and simulation development. Observed evidence, analytical assessments and simulated outcomes remain distinct.
IMPLEMENTED METHODS
EVIDENCE-STATE ORGANIZATION
Reports, assessed state and authority context kept distinct and traceable.
MULTI-SOURCE CORRELATION
Sensor reports combined into one operational picture with confidence and provenance.
BEHAVIORAL ANALYTICS
AI-assisted review of patterns, relationships and changes across available information.
HUMAN DECISION GATES
Assessment output is reviewed and authorized by operators; actions remain human-controlled.
RESEARCH & PLANNED
NEURAL-NETWORK PREDICTION
Models for prediction are in development; validation scope is not yet confirmed.
SCENARIO SIMULATION
Exploration of possible future states under development, reviewed against observed evidence.
PERFORMANCE VALIDATION
Evaluation and acceptance criteria agreed per deployment before operational use.
NESFA organizes evidence, assessed state and authority. It is not a neural-network model, and sensor fusion is not presented as a neural algorithm.
Predictive and simulation capabilities are in development. Implementation and validation scope are confirmed per capability.
Discuss the architecture against your operational requirements.
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