RxQore AI Platform
Foundational AI for Nuclear Reactor Intelligence
RxQore Pre-Training
RxQore's foundational model is pre-trained on millions of high-fidelity simulations, decades of experimental reactor truth data, and thousands of regulatory filings condensed into one foundational model.
Nuclear's First Unified Physics Engine
RxQore's neural architecture models the reactor as a single, fully unified physical system — capturing the natural coupling between neutronics, thermal hydraulics, and structural mechanics that defines real reactor behavior
PHYSICS-INFORMED AI
RxQore employs Physics-Informed Neural Networks to embed governing reactor physics equations directly into the model’s learning objective. This architectural constraint assures that every inference-based simulation strictly obeys fundamental conservation laws, rather than approximating them statistically.
LEARNED COUPLING
Advanced reactors derive safety and performance from tightly coupled multi-physics phenomena. RxQore encodes these interactions within a unified neural framework, eliminating fragmented multi-code handoffs. It is a learned and embedded coupling that captures feedback effects in a single, coherent computational inference.
SIMULATION PERFORMANCE
RxQore’s GPU-based inference engine accelerates reactor analysis by up to 10,000×, transforming how engineers explore and validate advanced reactor designs.
MONTHS TO MINUTES
A single high-fidelity design campaign that once consumed months of simulation runtime can now be completed in minutes. Engineers can evaluate thousands of configurations in a single session, identify limiting safety margins early, and surface critical uncertainty before it becomes regulatory friction.
EFFICENT COMPUTE | IP PROTECTION
RxQore was designed from the ground up for modern GPU compute, replacing thousands of CPU-years of simulation runtime with inference that runs on commodity hardware accessible to any engineering organization. Such compute can be deployed fully on-prem, enabling secure, sovereign design workflows without reliance on 3rd party, cloud-based infrastructure.
A TRUE DIGITAL TWIN
RxQore provides the computational foundation to run continuously alongside your reactor, ingesting live sensor data, predicting system state in real time, and staying ahead of developing conditions.
REAL-TIME SENSOR FUSION
RxQore’s Digital Twin continuously ingests live reactor sensor feeds and fuses them with its model to produce a continuously updated, high-fidelity picture of the actual reactor state. This enables dynamic safety margin tracking, early anomaly detection, and proactive performance optimization.
AUTONOMOUS OPERATIONS
Next-generation reactors, particularly micro space reactors and remote surface power, require autonomous or semi-autonomous operational capability. RxQore’s real-time modeling and sensor fusion supports predictive control, scenario forecasting, and resilient operation in environments where immediate human intervention is limited.
REGULATORY-READY AI
RxQore's Patent-Pending, Explainable AI is purpose-built for the most regulated engineering environment in the world, delivering transparent, verifiable outputs aligned with licensing workflows.
TODAY'S REGULATORY NEED
RxQore natively supports the requirements of today’s licensing framework by embedding traceability, verification pathways, and documented computational procedures directly into the platform. This QA strategy ensures data lineage and validation pathways are auditable at every stage of the analysis.
ENABLING THE FUTURE
Modernizing licensing requires adopting a risk-informed, performance-based framework based on thousands of scenario simulations and uncertainty quantification campaigns. Legacy CPU-bound tools cannot execute these workflows at practical speed. RxQore provides the computational scale required to codify licensing modernization.