Optimize energy use and reduce downtime with real-time data.
Prevent failures early with AI-driven monitoring.
Operational challenges related to safety, efficiency, and resource allocation are growing in complexity and impact.
Today’s operational hurdles—ranging from safety to resource management to regulatory paperwork—are more demanding than ever, requiring innovative approaches that drive efficiency and informed decision-making.
AI-powered tools to cut costs and boost nuclear efficiency.
AI that strengthens strategy and mitigates security risks.
Harness the power of your data with our proven AI solutions to reduce operational risk, boost productivity, and optimize outcomes at scale.
We tackle challenges once thought impossible – using advanced AI and deep industry expertise to deliver solutions where others can’t.










See how our AI helps clients boost efficiency and reduce costs.
Senior Manager of BWR Design and Methods Constellation Energy
For a fuel cycle with high MCO, the total radiological cost for elevated MCO can exceed $1M for a refueling outage. The predictive capability of MCO.ai ensures that operating conditions and the core designs are established to maintain low MCO levels. The fleet total cost savings (fuel and dose) attributed to Blue Wave’s MCO predictive tool are at least $4 million annually.
Join leading energy innovators already using Blue Wave AI to cut costs, increase efficiency, and drive smarter decisions. Let’s talk about your goals.

We use the most advanced techniques in AI and Machine Learning to transform your data and documents into unprecedented visibility and game-changing solutions that solve real-world, complex problems. Our experts will help you evaluate and mitigate risk, increase efficiency to save time and money, and optimize performance.
Our Nuclear-Grade AI™ software uses artificial intelligence (AI), machine learning algorithms, and neural networks that provide predictive analytics, complex modeling, simulations, complex calculations, and agentic workflows, as well as large language models for document comparison, analysis, editing, and synthesis.
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