PANDAS Platform
A 4-Dimensional Enterprise Management Engine. Six tiers of capability. Each builds on the last.
PANDAS is an autonomous system that receives natural language, typed or spoken, and executes real-world actions across multiple departments simultaneously. It generates validated work products, routes enterprise communications, builds resource-loaded schedules, evaluates regulatory compliance, and produces professional engineering deliverables. All from a single input. All in parallel.
The engine operates across four dimensions. The first dimension works within a single department, producing validated work orders, compliance forms, and documentation. The second dimension coordinates across departments, triggering operations, maintenance, engineering, and management workflows from one input. The third dimension reaches beyond the organization into regulatory interfaces, vendor coordination, and external stakeholder deliverables. The fourth dimension extends across time, using historical failure data, fleet operating experience, and economic modeling to drive predictive maintenance decisions.
Every safety-critical output is produced through deterministic pipelines. Every output is held for human review. Every action is logged. Every decision is traceable. Nothing becomes a plant record without human approval.
A field operator speaks into their phone. The entire organizational response chain fires.
A field observation triggers a cascade that flows vertically through the entire organization. Operations assessment through engineering evaluation through regulatory screening through work planning through scheduling through management notification. All autonomous. All parallel. All from a single voice input.
Complete event response from natural language field observations, including voice input
Condition Reports with system classification, immediate actions, and priority
Operability Determinations with full Technical Specification alignment across the operating fleet
NRC reporting evaluation against 10 CFR 50.72 and 50.73 thresholds
Automatic downstream chaining through work orders, compliance forms, schedules, and communications
Complete design change packages across organizational and regulatory boundaries.
From a natural language modification description, PANDAS autonomously classifies the design change, determines all applicable regulatory requirements, and generates a complete package of professional engineering deliverables with regulatory citations, metadata tables, and signature blocks. Safety classification, quality group, ASME class, seismic category, environmental qualification, and 50.59 screening. All evaluated against the applicable regulatory basis.
Autonomous safety classification, quality group, ASME class, and seismic category determination
10 CFR 50.59 screening with all eight criteria technically justified
Codes and standards identification including ASME, IEEE, and NRC Regulatory Guides
Interface review across thermal, hydraulic, electrical, structural, and I&C disciplines
Support for CE, Westinghouse, and B&W plant designs
Everything before this reacts to the present. This tier adds the dimension of time.
The engine looks backward at equipment operating history, maintenance trends, and past failures. It looks at the present: current condition, open issues, recent inspection findings. It looks forward: time to next outage, failure probability, economic consequence of failure versus cost of proactive action. The output is plant-specific, component-specific, and economically grounded. Differentiated by actual operating history, not industry averages.
Industry failure rate data across all applicable failure modes with common-cause analysis
Fleet operating experience synthesis from peer plant events
Plant-specific condition adjustment based on actual maintenance and operating data
Economic framework comparing reactive failure cost against proactive replacement with outage risk modeling
Actionable recommendations oriented to plant schedule and operational window
The Autonomy Staircase
Nuclear domain knowledge, document search across the full technical library, email and Teams automation, document generation, and voice input for field workers in PPE. The floor, not the ceiling.
Validated nuclear work orders with step-by-step instructions, safety precautions, and hold points. Compliance forms generated from work order context. Vision AI extracts component data from drawings.
A single natural language input triggers simultaneous execution across all capability categories. Work orders, compliance forms, schedules, emails, and meetings. Complete work packages from one sentence.
A field observation triggers the complete organizational response. Operations assessment, engineering evaluation, regulatory screening, work planning, scheduling, and management notification. No hand-offs.
Workflows that cross organizational and regulatory boundaries. Design engineering, vendor interfaces, regulatory submissions, and external stakeholder coordination.
Component reliability across time. Industry failure data, fleet operating experience, plant-specific condition adjustment, and economic comparison of reactive failure cost against proactive replacement.
Operations. Engineering. Regulatory. Planning. Scheduling. Management. All in parallel. All traceable. All held for human approval.
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