Tag: Nuclear

Why New Entrants Validate What We’ve Already Built

Posted on by sondra

The energy industry is experiencing a long-overdue shift—one where AI is no longer a novelty but a necessity. And in the nuclear and utility sectors, we’re beginning to see something we welcome: more vendors entering the space.

It’s a positive sign. The growing interest from startups, enterprise AI labs, and newly formed nuclear-focused technology companies is a clear signal that the market is ready to modernize. Everyone—from operators to regulators—is looking for smarter, faster, and more secure ways to manage highly regulated, high-impact work.

But here’s the truth: not all solutions are created equal.

Some new entrants are offering early-stage beta tools. Others are repackaging general-purpose AI under the banner of “nuclear transformation.” What many still lack is what we’ve spent the last four years building at Nuclearn—deep operational understanding, embedded security architecture, and proven use cases deployed at scale.

Validation of the Mission

We’re not threatened by more players in the space. We welcome them. Every new entrant, every investor conversation, every “nuclear AI” LinkedIn post is validating what we’ve already proven: AI is no longer optional in this industry—it’s essential.

Since 2021, we’ve been supporting real-world operations across 48+ nuclear and utility sites in the U.S., Canada, and the U.K. We’ve worked inside secure environments, with live operational data, building tools that move the needle on efficiency, accuracy, and safety.

In other words, we’re not experimenting. We’re executing.

How Nuclearn Sets the Standard

Nuclearn wasn’t adapted for nuclear—it was built for it. Our team of nuclear engineers, planners, and outage veterans knew that generic AI couldn’t meet regulatory, compliance, or cultural requirements. So we designed a platform that could.

Here’s what differentiates Nuclearn in an increasingly noisy space:

  • Field-Proven Deployment: Our tools are actively in use at commercial nuclear sites—not in simulation, not in “pilot purgatory.”
  • Part 810 Compliant: Our system architecture was designed with export control, cyber resilience, and data sovereignty in mind from day one.
  • On-Prem & GovCloud Options: We know what IT, security, and operations teams need—and we offer deployment flexibility to match.
  • Designed for Real Workflows: Procedure updates, FSAR crosswalks, outage readiness, tagging validation, safety documentation—these aren’t buzzwords. They’re everyday challenges we solve.

While others are still preparing for the work, Nuclearn is already helping teams:

  • Cut hours from outage document prep
  • Reduce the review burden on procedure writers
  • Accelerate tagging accuracy during planning
  • Analyze safety observations and generate reports in real-time
  • Our platform doesn’t just talk about nuclear. It speaks fluently.

Why Competition Matters

Yes, we’re leading this category—but we don’t want to be alone in it. Innovation benefits from pressure and perspective. When more companies try to build for this space, we all learn what works, what doesn’t, and what’s required to earn trust in high-stakes environments.

Healthy competition pushes everyone to do better—for customers, for industry standards, and the future of nuclear.

But let’s be clear: this isn’t an industry that has time for AI that “might” work. This is a mission-critical environment. There is no room for hallucinated citations, opaque black boxes, or half-secure integrations.

So while we’re glad the space is growing, we’ll continue focusing on the things that matter most:
Security. Compliance. Trust. And results.

Customers Aren’t Looking for Options—They’re Looking for Outcomes

What we’re hearing in the field is that buyers aren’t overwhelmed—they’re skeptical. Leaders at plants, utilities, and national labs are asking:

  • Is it secure?
  • Is it proven?
  • Does it integrate with our workflow?
  • Can we deploy it without adding risk?

This is where Nuclearn continues to stand apart. Because our answers are:
✅ Yes.
✅ Yes.
✅ Yes.
✅ And yes.

We’ve never been interested in tech for tech’s sake. We’re here to build solutions that reduce friction, reclaim hours, and elevate the work of nuclear professionals.

The Bar Is High—And That’s a Good Thing

We’ve helped raise expectations. And we’re proud of that. Because when we hold ourselves—and our peers—to a higher standard, the entire industry benefits.

We want a world where:

  • AI-powered documentation becomes the norm, not the exception
  • Safety data is reviewed with contextual intelligence
  • Engineers are free to engineer, not just fill out forms

That’s not science fiction. That’s what our users are doing with Nuclearn—right now.

Final Word

The rise of new entrants into the nuclear and utility AI space is exciting. It means this sector is finally getting the innovation attention it deserves.

But we’re not racing to catch up. We’re defining the pace.
We’re already supporting operations, delivering value, and earning the trust of nuclear’s most security-conscious customers.

We’re not the future of nuclear AI.
We’re its present.

Texas Takes the Lead: Highlights from Texas Nuclear Legislative Day 2025

Posted on by sondra

On April 10, 2025, the steps of the Texas State Capitol weren’t just a backdrop for political speeches—they became the frontlines of a movement. Texas Nuclear Legislative Day, hosted by the Texas Nuclear Alliance (TNA), brought together energy advocates, industry leaders, and state policymakers with one unified mission: to make Texas the leader of the American nuclear renaissance.

The gathering was more than symbolic. It marked a turning point in how Texas envisions its energy future—and underscored that nuclear energy is no longer just part of the conversation. It is the conversation.

A Bold Vision at a Critical Time

Texas Nuclear Legislative Day came at a moment when energy priorities across the state and nation are shifting rapidly. With rising electricity demands, increasing concern over grid reliability, and global pressure to decarbonize, Texas—long known for oil and gas—is setting its sights on nuclear.

Governor Greg Abbott’s recent directive to the Legislature made it clear: nuclear power should be central to the state’s long-term energy strategy. The enthusiastic response from the Capitol last week shows that lawmakers, industry professionals, and citizens alike are embracing this future.

“The robust participation from nuclear industry employees and supporters, coupled with the warm reception we received from members of the Texas Legislature, highlight nuclear’s rising prominence and undeniable potential in shaping Texas’ energy landscape,” said Reed Clay, President of the Texas Nuclear Alliance.

Legislative Support for a Nuclear Future

Throughout the day, TNA members and supporters met directly with legislators to champion a series of pro-nuclear bills aimed at jumpstarting a new era of nuclear innovation. These included:

  • HB 14 & HB 279 – Laying the regulatory and funding groundwork for advanced nuclear projects

  • SB 388, SB 1061, SB 1534, SB 1535, SB 2060, and SB 2967 – Addressing a range of supportive measures, from licensing to research collaboration

  • HB 500 – Establishing a Texas Advanced Nuclear Energy Fund to attract capital and accelerate deployment

These proposals are more than political gestures—they’re tools to transform Texas into a center of nuclear excellence. If passed, they will unlock funding for next-generation reactors, incentivize public-private partnerships, and signal to global investors that Texas is serious about leading the nuclear renaissance.

Why Nuclear—and Why Now?

Attendees at Texas Nuclear Legislative Day didn’t just advocate for technology—they told a broader story. One of opportunity, urgency, and responsibility.

Nuclear energy offers reliability in a way no other clean energy source can. It provides high-capacity, zero-carbon baseload power while requiring far less land than solar or wind. As extreme weather, rising demand, and industrial growth strain the grid, advanced nuclear is positioned to be the solution that meets Texas’s ambitious goals for economic strength and energy independence.

What’s Next?

The conversations in Austin were just the beginning. With legislation advancing and public interest growing, Texas is poised to become a national model for what’s possible when innovation, policy, and industry work hand-in-hand.

At Nuclearn, we’re proud to support the companies, coalitions, and communities working to shape the future of nuclear. From advanced AI integration to safer, more efficient plant operations, we’re helping utilities and policymakers realize the full promise of nuclear in the 21st century.

The future is already taking shape in Texas—and it’s powered by nuclear.

Shaping the Future of Nuclear: Lisa Marshall’s Global Impact Begins in the Classroom

Posted on by sondra

In the rapidly evolving world of nuclear energy, innovation isn’t only found in labs and reactor design—it’s also found in classrooms, campus labs, and summer programs that empower the next generation. Few people understand this better than Lisa Marshall.

As the President of the American Nuclear Society and Director of Outreach, Retention, and Engagement at North Carolina State University’s Department of Nuclear Engineering, Lisa Marshall is leading a movement to transform how we educate, inspire, and retain nuclear talent. In the latest episode of The Future of Nuclear podcast, Lisa joined host Phil Zeringue for a conversation that was equal parts insight, empathy, and vision.

Her message was clear: a sustainable future for nuclear energy begins by nurturing curiosity, building community, and creating environments where every student can thrive.

From Geography to Nuclear: A Path Fueled by Purpose

Lisa’s own journey into nuclear wasn’t linear. With an academic background in geography—a discipline focused on the relationship between people, space, and technology—Lisa didn’t come from a traditional engineering pipeline. Instead, it was a single class that combined technical insight with societal relevance that first lit the spark for her nuclear interest.

That spark became a calling.

When she arrived at NC State, she wasn’t hired for her nuclear expertise. She was hired for her ability to advise, build programs, and create community. What followed was two decades of transformational leadership in nuclear education—leadership that emphasized inclusion, mentorship, and mission-driven learning.

“I always ask myself: how do I create an environment for students to thrive?” Lisa says. “It’s not just about curriculum—it’s about building confidence, allowing failure, and showing them that they belong.”

Building the Pipeline—And the Ecosystem Around It

One of Lisa’s most powerful contributions is her holistic view of education. To her, it’s not just about getting more students into nuclear engineering programs—it’s about building what she calls an “ecosystem of engagement” that starts well before college and continues long after graduation.

“We lose kids in middle school, even earlier,” she explains. “They don’t see themselves in STEM, and by the time they get to high school, it can be too late.”

That’s why Lisa’s programs focus on continuous touchpoints: three-week summer residential camps, immersive first-year projects like the “Nuclear Probe Project,” and long-distance trips to nuclear training facilities. The goal is to connect students with real-world experiences that humanize nuclear technology and demonstrate its impact in energy, medicine, security, and beyond.

This philosophy is deeply rooted in belonging. “An NC State engineering degree shows you have the technical skills,” Lisa explains. “But companies want to know: Can you collaborate? Will you ask for help? Are you mission-driven?”

Beyond Soft Skills: Fostering Professionalism and Resilience

One of the most powerful takeaways from Lisa’s episode is her emphasis on “professional skills”—not “soft skills.” For Lisa, communication, collaboration, and emotional intelligence aren’t nice-to-haves; they’re essential tools for leadership in the nuclear workforce.

She challenges students to leave their comfort zones—not just to grow, but to prepare themselves for a career in an industry that’s increasingly diverse, interdisciplinary, and globally relevant.

Through her work with ANS, Marshall has created spaces where students build these capabilities early. She credits the society with helping her find her own leadership voice. “I got tricked into going to my first ANS meeting,” she laughs. “But from there, I found my people. It’s where I started giving back.”

That commitment to giving back is now evident in everything she touches—from her classroom teaching to her international work with the OECD. Whether she’s helping students navigate their first engineering project or speaking on behalf of nuclear innovation at global forums, Lisa shows up with the same clarity and purpose.

Global Perspective, Local Passion

Lisa’s identity as a Caribbean Canadian-American adds depth to her global outlook. Her upbringing and education influence how she sees the intersection of science, society, and culture—and how nuclear must evolve to stay relevant.

As a thought leader, she’s involved in global efforts to address nuclear’s role in medicine, agriculture, energy, and security. But as an educator, she’s equally invested in individual growth. “We need relationship builders,” she says. “People who will be there for the long term. Engagement isn’t a one-time thing. It’s the foundation.”

Lisa understands that building a nuclear future isn’t just about innovation—it’s about creating a culture where people feel seen, supported, and inspired to lead.

Go Slow to Go Far: A Leadership Philosophy for the Future

Perhaps the most powerful theme in Lisa’s conversation with Phil Zeringue is her belief in process over position. “It’s the steps we take, not the title at the end,” she says. “We have to make space for curiosity, failure, growth, and connection. That’s how we build a nuclear future that’s innovative, inclusive, and strong.”

This mindset—of intentional leadership, human-centered education, and long-term investment—is exactly what the nuclear sector needs. It’s also why Lisa Marshall is one of the most influential voices in nuclear education today.

At Nuclearn, we are proud to feature her story and share the values she embodies: mentorship, inclusivity, and the power of education to shape a better world.

🎧 Want to hear more from Lisa Marshall?
Visit nuclearn.ai to listen to her full conversation on The Future of Nuclear podcast.
Discover how she’s building the next generation of nuclear leaders—one student, one lesson, and one bold idea at a time.

The Role of AI Agents in Driving Digital Transformation for Nuclear and Utilities Sectors

Posted on by sondra

Unlocking Efficiency and Innovation Through AI-Powered Process Engineering

The nuclear and utilities industries are experiencing an era of digital transformation, with AI agents at the heart of this evolution. These intelligent tools are revolutionizing traditional process engineering by automating repetitive tasks, analyzing complex datasets, and generating actionable insights. By embracing AI-driven solutions, organizations can optimize workflows, improve decision-making, and unlock new avenues for innovation.

This blog explores the profound impact of AI agents, the strategies for seamless integration, and the key benefits they bring to nuclear and utilities companies.

How AI Agents Are Reshaping Process Engineering

Process engineering in highly regulated industries like nuclear and utilities has long been a manual and resource-intensive effort. Engineers and operators spend countless hours analyzing workflows, identifying inefficiencies, and ensuring compliance with stringent regulations. AI agents take these capabilities to the next level, offering:

  • Bottleneck Identification: AI can analyze historical data and operational trends to pinpoint inefficiencies within workflows.
  • Predictive Maintenance: By monitoring equipment performance in real time, AI helps prevent failures and reduce unplanned downtime.
  • Regulatory Compliance Automation: AI automates documentation reviews, ensuring compliance with industry standards and reducing administrative overhead.
  • Data-Driven Insights: AI extracts and summarizes key findings from vast datasets, enabling faster, more informed decision-making.

Rather than replacing human expertise, AI agents augment teams, allowing them to focus on strategic and high-value tasks. This shift not only enhances efficiency but also fosters a culture of continuous improvement within organizations.

Laying the Foundation for AI Integration

To successfully integrate AI agents into existing operations, organizations must align people, processes, and technology. A structured approach ensures seamless adoption and maximizes the value AI brings to business operations. Here are the essential strategies:

1. Cross-Departmental Collaboration

AI adoption should be a collaborative effort, involving engineers, IT teams, operations managers, and compliance experts. Establishing a cross-functional team ensures diverse perspectives and alignment with organizational goals.

2. Prioritizing High-Impact Use Cases

To build momentum, organizations should focus on AI applications with measurable impact. Key areas include:

  • Automating regulatory document reviews
  • Enhancing maintenance scheduling
  • Streamlining incident reporting
  • Real-time performance monitoring

3. Assigning AI Champions

To drive accountability and ensure success, appointing AI process owners within departments is crucial. These individuals oversee AI deployment, monitor performance, and advocate for continuous improvement.

4. Standardizing Workflows for AI Adoption

By creating uniform workflows, organizations make it easier for AI agents to integrate into operations. Standardized processes enable scalability and consistency across departments.

Achieving Early Wins to Drive AI Adoption

Demonstrating early success is vital for building confidence in AI technology. Quick-win initiatives can help showcase the immediate value AI delivers. Some effective early-stage applications include:

  • Automating Regulatory Document Searches: AI reduces manual effort by quickly extracting and summarizing critical compliance information.
  • Streamlining Maintenance Logs: AI assists in identifying and prioritizing critical maintenance tasks, reducing equipment downtime.
  • Real-Time Reporting on Equipment Performance: AI-powered monitoring enables predictive maintenance, improving overall asset reliability.

By implementing these quick wins, organizations create a foundation for broader AI adoption and long-term digital transformation.

Tracking and Measuring AI’s Impact

To validate the success of AI initiatives, organizations must establish a framework for tracking efficiency gains. Key steps include:

  • Setting Baseline Metrics: Measure time spent on manual processes before AI integration.
  • Monitoring AI-Enabled Processes: Track improvements in efficiency and accuracy.
  • Using Real-Time Dashboards: Visualize AI performance and workflow enhancements.
  • Collecting User Feedback: Engage employees to gather insights on AI’s effectiveness and identify areas for further refinement.

By continuously assessing AI’s impact, organizations can optimize their strategies and ensure sustained improvements.

Bridging the AI Knowledge Gap

Despite AI’s potential, many organizations face challenges in adoption due to knowledge gaps and resistance to change. To overcome these hurdles, consider the following approaches:

  • Collaborate with AI Experts: Partner with process re-engineering specialists to guide AI integration efforts.
  • Develop Role-Specific Training Programs: Ensure employees understand how AI enhances their work.
  • Leverage External Consultants: Work with AI implementation specialists to streamline deployment.
  • Host Knowledge-Sharing Sessions: Encourage employees to discuss AI successes and challenges.

Bridging the knowledge gap empowers teams to embrace AI confidently and maximize its value.

A Vision for the Future: AI as a Strategic Partner

The digital transformation of the nuclear and utilities sectors is not about replacing human workers but enabling them to focus on more impactful tasks. Traditional methods of process engineering, while effective in their time, are now being revolutionized by AI’s ability to enhance precision, reduce human error, and adapt to evolving industry needs.

Organizations that proactively integrate AI into their workflows will:

  • Increase operational efficiency
  • Reduce compliance risks
  • Improve asset reliability
  • Foster innovation and adaptability

The key to success lies in starting small, demonstrating early value, and scaling AI initiatives with a structured governance framework.

The Time for Innovation is Now – Download the Research Brief

The nuclear and utilities industries are at a critical juncture where embracing AI is no longer optional—it is essential for staying competitive in a rapidly evolving landscape. By strategically integrating AI agents, organizations can drive operational excellence, ensure regulatory compliance, and unlock unprecedented efficiencies.

Ready to take the next step? Download our latest research brief today and discover how AI agents are transforming nuclear and utilities operations. Learn practical strategies for AI adoption, explore real-world use cases, and equip your organization with the knowledge to harness AI’s full potential.

Download the Research Brief Now

The future of AI-driven transformation begins with informed decision-making—secure your competitive advantage today.

Establishing Governance Frameworks for AI in the Nuclear and Utilities Sectors

Posted on by sondra

Redefining Governance for Digital Transformation

The nuclear and utilities industries are undergoing a major digital transformation, and AI agents are at the forefront of this evolution. These advanced tools can streamline workflows, optimize decision-making, and automate repetitive tasks. However, as organizations embrace AI-powered solutions, establishing a well-structured governance framework is essential to ensure security, transparency, and accountability without stifling innovation.

In this article, we explore the importance of governance for AI agents in nuclear and utilities, outline best practices, and present key strategies to balance agility with compliance. By implementing a governance framework tailored to AI’s capabilities, organizations can unlock AI’s full potential while mitigating risks and maintaining operational integrity.

The Role of AI Agents in Nuclear and Utilities

AI agents, especially those powered by generative AI and large language models (LLMs), offer game-changing capabilities in process automation and operational efficiency. Unlike traditional automation tools, AI agents continuously learn and adapt, making them ideal for managing complex workflows in regulated industries like nuclear and utilities.

Some of the primary benefits of AI agents in these industries include:

  • Process Optimization: AI can identify inefficiencies, suggest improvements, and automate routine tasks, reducing operational costs and improving productivity.
  • Data-Driven Decision Making: AI analyzes vast amounts of structured and unstructured data to provide actionable insights, enabling organizations to make more informed decisions.
  • Compliance and Risk Management: AI enhances regulatory compliance by automating documentation, monitoring adherence to protocols, and identifying potential risks before they escalate.
  • Workforce Augmentation: By handling repetitive and mundane tasks, AI allows human experts to focus on strategic and high-value activities.

While these benefits are compelling, they also introduce new challenges related to accountability, security, and transparency. This is where a robust AI governance framework becomes essential.

Building a Strong AI Governance Framework

Establishing governance for AI in the nuclear and utilities sectors requires a structured approach that ensures AI adoption aligns with organizational goals while maintaining compliance and trust. A well-designed framework includes the following components:

1. Define Roles and Responsibilities

AI governance should be a collaborative effort involving cross-functional teams, including IT, compliance, security, and operations. Each team member should have clear responsibilities for overseeing AI implementation, monitoring performance, and ensuring compliance with industry regulations.

2. Emphasize Explainable AI (XAI)

AI systems must be transparent in their decision-making processes. Implementing Explainable AI (XAI) ensures that AI-generated insights can be traced back to their source data, algorithms, and logic. This enhances trust and allows stakeholders to understand and validate AI-driven decisions.

3. Develop Audit Trails for Accountability

Governance frameworks should include robust auditing mechanisms to track AI decision-making. For example, when an AI agent recommends an operational adjustment, the system should document the data inputs, parameters, and final recommendations. Audit trails provide transparency and help organizations refine AI strategies over time.

4. Ensure Data Security and Regulatory Compliance

AI governance must prioritize data security, especially in highly regulated sectors. Best practices include:

  • Deploying AI solutions in secure, on-premise environments.
  • Ensuring that sensitive data remains within controlled organizational infrastructure.
  • Implementing stringent access controls and encryption to protect proprietary and regulatory-sensitive data.

Balancing Governance with Agility

While strict governance is crucial, it must not become a bottleneck for AI innovation. Organizations should adopt flexible and scalable governance strategies that allow AI systems to evolve while ensuring compliance. Key approaches include:

  • Start with a Minimal Viable Governance Framework: Implement an initial governance model that can scale as AI adoption grows.
  • Use Industry-Aligned Governance Templates: Standardized frameworks streamline compliance without excessive bureaucracy.
  • Automate Compliance Checks: AI-driven governance tools can monitor adherence to policies in real time, reducing the manual burden on compliance teams.

Maintaining agility in AI governance ensures that organizations can quickly adapt to evolving technologies and regulatory landscapes while minimizing risk exposure.

Future-Proofing AI Governance

To sustain AI adoption in the long term, governance models should be dynamic and forward-thinking. Future-proofing AI governance involves:

1. Implementing Adaptive Governance Models

Rather than relying on static governance policies, organizations should adopt adaptive models that evolve as AI agents improve. This ensures that governance structures remain relevant and effective as AI capabilities advance.

2. Real-Time Oversight Dashboards

Organizations should leverage AI-powered dashboards that provide real-time visibility into AI activity, compliance status, and key performance indicators. These dashboards enable proactive decision-making and rapid response to emerging risks.

3. Embedding Ethical AI Practices

AI governance should incorporate ethical considerations, such as fairness, accountability, and bias mitigation. Ensuring that AI operates without unintended biases helps build trust and strengthens AI adoption across stakeholders.

Achieving Business Outcomes with AI Governance

A well-structured AI governance framework is not just about risk mitigation—it also drives meaningful business outcomes. By implementing governance best practices, organizations can:

  • Enhance transparency and trust in AI-driven decisions.
  • Accelerate process re-engineering with secure and accountable AI tools.
  • Free human resources from mundane tasks, enabling them to focus on strategic initiatives.
  • Foster a culture of continuous improvement as AI systems evolve.

With the right governance strategy, AI can transition from being a standalone tool to a strategic asset that enhances organizational efficiency and resilience.

Download the Full Research Brief Today

The nuclear and utilities sectors are on the brink of unprecedented transformation. AI-powered agents have the potential to redefine industry standards, but their success hinges on well-structured governance frameworks. By proactively establishing AI governance, organizations can drive innovation, maintain compliance, and ensure operational excellence.

To gain deeper insights into AI governance and best practices, download our latest research brief today. Learn how to navigate the complexities of AI adoption while safeguarding your organization’s integrity.

Download the Research Brief Now

The future of AI-driven transformation starts with a strong governance strategy—take the first step today.

Powering the Future: Amazon and Google’s Investment in SMRs and How NuclearN is Driving AI Integration for a Carbon-Free Tomorrow

Posted on by sondra

NuclearN applauds the groundbreaking investments from Amazon and Google in Small Modular Reactors (SMRs), recognizing how these developments align with the future of clean, sustainable energy. Amazon’s $500 million partnership with Energy Northwest and Google’s collaboration with Kairos Power are significant milestones in the integration of nuclear energy with advanced technology. These partnerships emphasize that nuclear energy, combined with cutting-edge technologies like artificial intelligence (AI), is crucial to powering the infrastructure required for future technological advancements.

As Phil Zeringue, VP of Strategic Partnerships at NuclearN, points out, “These partnerships are critical to powering the future technologies we rely on, and the synergy between nuclear and AI is key to a sustainable, energy-secure future.” Zeringue’s perspective reflects the evolving role of nuclear energy as a foundational pillar for the world’s energy needs, especially as global tech giants like Amazon and Google take action to secure carbon-free power sources for their growing infrastructure.

NuclearN is well-positioned at the intersection of nuclear energy and technology. With over 48 nuclear reactors across North America and Europe currently utilizing our AI-driven tools to enhance their operations, we understand the immense potential that AI holds in transforming how nuclear energy is deployed. We also recognize that Amazon’s and Google’s investment in SMRs goes beyond simply meeting their energy needs; it represents a commitment to long-term sustainability and a clear acknowledgment of the need for innovation to address the global energy crisis.

The Intersection of AI and Nuclear Energy

Nuclear energy has long been regarded as a critical component of achieving a carbon-free future. However, the rise of SMRs provides a more flexible, scalable option for energy generation. Unlike traditional, larger nuclear reactors, SMRs can be deployed in a wider range of locations, require less upfront capital, and offer shorter construction timelines. Yet, despite these advantages, challenges such as human error, design changes, and logistical issues remain. This is where AI comes into play.

At NuclearN, we see AI as a critical enabler in the SMR deployment process. By integrating AI into SMR projects, we can significantly reduce human error, streamline design changes, and improve operational efficiency. Our AI-driven tools are already being used at nuclear sites to automate planning, streamline documentation processes, and enhance safety protocols. These tools allow engineers and operators to focus on building and maintaining SMRs efficiently while minimizing risks.

Phil Zeringue underscores the importance of these technologies, stating, “The integration of AI with SMRs is crucial for enhancing safety, reducing risks, and increasing the overall efficiency of these projects. These technologies not only align with our social impact goals but are also necessary to ensure the reliable, secure, and sustainable energy needed to power the future.”

By leveraging AI, we can address the two largest drivers of delays in SMR construction: human error and design changes. AI solutions can automate repetitive tasks, provide real-time insights for decision-making, and ensure that complex data is handled with precision. This not only improves the safety and efficiency of SMR projects but also reduces costs and keeps projects on schedule.

Amazon and Google: Leading the Charge in SMR Development

The recent announcements from Amazon and Google demonstrate that some of the world’s most innovative companies are betting on nuclear energy to meet their future energy needs. Amazon’s $500 million investment in partnership with Energy Northwest, along with Google’s collaboration with Kairos Power, showcases a growing recognition of SMRs’ potential to provide reliable, carbon-free energy. These companies are not just investing in their own infrastructure—they are signaling to the world that nuclear energy, paired with advanced technology, is a critical solution to the energy and environmental challenges we face.

Zeringue notes, “As more technology companies like Amazon and Google invest in nuclear technologies to power their infrastructure requirements, new nuclear power is needed more than ever. Which mean new workforce, new manufacturing and new tools to shrink the timelines to bring these crucial assets online”

These tech giants rely on vast amounts of energy to power their global operations, data centers, and the technologies that billions of people use every day. As they continue to expand their reach, the demand for secure and sustainable energy sources grows. Nuclear energy, particularly SMRs, offers a viable path forward. By investing in these solutions, Amazon and Google are not only securing their own energy futures but also helping to pave the way for the wider adoption of SMRs.

NuclearN’s Role in Supporting the Future of Energy

NuclearN’s mission is to drive forward the advancement of AI technologies alongside scalable energy solutions like SMRs. With our expertise in AI and nuclear energy, we are uniquely positioned to support the growth of SMRs and help meet the world’s increasing energy demands. Our work with 48 nuclear sites across North America and Europe has provided us with valuable insights into how AI can transform nuclear operations. By automating critical processes, improving safety, and reducing human error, we help nuclear facilities operate more efficiently and safely.

Our alignment with companies like Amazon and Google goes beyond shared goals of carbon neutrality. We recognize the importance of building partnerships that drive innovation and ensure a sustainable future. As SMRs become an increasingly important part of the energy landscape, the role of AI will only continue to grow. By integrating AI into SMR projects, we can accelerate the deployment of these reactors and ensure they operate safely and efficiently.

As Phil Zeringue emphasizes, “AI is a major force driving the need more carbon free energy, it is not lost on us that we are providing AI solution to make nuclear power the responsible, reliable and affordable choice which can power more AI which can further improve nuclear, it’s a virtuous cycle we are proud to be at the forefront of.”

Looking Ahead: A Carbon-Free, Energy-Secure Future

The investments from Amazon and Google mark an exciting chapter in the future of nuclear energy. Their leadership in this space highlights the importance of sustainable energy solutions to meet the demands of the modern world. NuclearN remains committed to advancing AI technologies that support the deployment and operation of SMRs, ensuring that the energy needs of the future are met with innovation, safety, and sustainability.

As the energy landscape evolves, it’s clear that partnerships between technology companies and nuclear energy providers are key to driving the development of scalable, carbon-free energy. NuclearN is proud to be part of this movement and looks forward to collaborating with industry leaders to create a cleaner, safer, and more secure energy future for all.



Securing the Future: How NuclearN’s On-Premise AI Solutions Provide Unmatched Security

Posted on by sondra

In industries where security is non-negotiable, the cloud can pose serious risks. From nuclear energy to utilities and beyond, handling sensitive data requires an approach that prioritizes control, compliance, and security at every step. That’s where NuclearN comes in.

At NuclearN, we’re proud to offer Advanced & Generative AI solutions that operate entirely on-premise. Our approach ensures that your organization’s critical data remains within your environment, giving you complete oversight and protection from external threats.

The Risks of Cloud Dependency

While cloud-based AI platforms can offer flexibility, they come with a host of risks—especially for industries handling highly regulated or confidential information. These include:

  • Data breaches and unauthorized access
  • Compliance challenges with industry regulations
  • Vulnerabilities in Cloud Provider Systems

For organizations in the nuclear and utilities sectors, such risks can lead to severe consequences. That’s why NuclearN’s on-premise solutions are the ideal choice for organizations that require the highest level of security.

Why On-Premise AI is the Best Choice for the Nuclear Industry

Our on-premise AI solutions offer a more secure alternative to cloud-based platforms. With NuclearN’s technology, your data never leaves your secure environment, ensuring full control over how it’s stored, accessed, and used.

Here’s why our on-premise solutions stand out:

  • Data Control: You maintain complete ownership of your data, ensuring it’s never exposed to third-party providers.
  • Compliance: Our AI solutions help you meet stringent regulatory requirements, keeping your data safe from both legal and security threats.
  • Security: With no cloud involvement, our AI solutions provide an extra layer of defense, securing sensitive data against cyberattacks and breaches.

NuclearN’s AI Solutions: Built for Security and Efficiency

NuclearN’s AI-powered tools, including AtomAssist and Capitalizer, are designed to optimize workflows while protecting your organization from security threats. Our solutions allow teams to focus on innovation and problem-solving, without worrying about data exposure.

  • AtomAssist: Automates and optimizes outage planning and reporting with AI-powered insights, all while ensuring data stays on your secure servers.
  • Capitalizer: Maximizes financial efficiency by automating expense classification, helping nuclear facilities improve their income statements securely.

A Secure Future with NuclearN

When it comes to securing sensitive data, compromise isn’t an option. NuclearN offers on-premise AI solutions that ensure your data stays safe, compliant, and under your control—so you can focus on driving innovation.

Ready to experience the next level of AI security? Discover how NuclearN’s on-premise AI solutions can transform your organization’s workflows while protecting what matters most.

Learn More About NuclearN: NuclearN.ai

Preparing for Outage Season: Why the Right Tools Matter

Posted on by sondra

As summer winds down and we approach the critical months of the year, those of us in the nuclear industry know that outage season is just around the corner. It’s a time of intense focus, where preparation is key to ensuring that everything runs smoothly. But preparation isn’t just about planning—it’s about having the right tools in place to manage the complex challenges that come with an outage.

At NuclearN, we understand the unique demands of outage season because we were founded by nuclear engineers, for nuclear engineers. Our deep industry knowledge and experience are embedded in every solution we create, ensuring that our tools are not only effective but also intuitive for those on the front lines.

Building Tools That Make Sense: By Nuclear Engineers, For Nuclear Engineers

One of the things that set NuclearN apart is our commitment to developing solutions that genuinely meet the needs of the nuclear industry. We know that the challenges of managing an outage can be daunting—tight schedules, strict regulatory requirements, and the need for precise coordination across multiple teams are just the beginning.

That’s why we’ve focused on creating tools that address these specific needs head-on. Our flagship products, AtomAssist and CAP AI, are designed to work in tandem, offering a powerful, integrated solution that simplifies outage management from start to finish.

AtomAssist: Enhancing Outage Efficiency with AI

AtomAssist is an advanced AI-powered tool designed to optimize every aspect of outage planning and execution. With AtomAssist, you can leverage predictive analytics to anticipate potential challenges, automate critical tasks, and ensure seamless coordination across teams. The platform’s user-friendly interface is tailored specifically for the nuclear industry, allowing you to maximize efficiency and minimize downtime during outages.

CAP AI: Streamlining Corrective Actions with Precision

CAP AI is engineered to transform the way you handle corrective action programs, providing a robust solution that automates and streamlines the process. CAP AI ensures that every corrective action is meticulously tracked, documented, and executed with precision, aligning with the highest standards of regulatory compliance. Its intuitive design makes it easier to manage complex workflows, helping your team stay focused on what matters most—safe and efficient outage completion.

A Powerful Duo for Outage Management

Together, AtomAssist and CAP AI form a comprehensive solution for managing outages. They provide the tools you need to prepare thoroughly, execute flawlessly, and wrap up efficiently, all while maintaining the highest standards of safety and compliance.

At NuclearN, our commitment is to empower the nuclear industry with tools that make sense—tools that are built on a foundation of nuclear expertise and tailored to the unique challenges of our field. As we enter outage season, trust in solutions designed by those who understand your needs because they’ve lived them. With AtomAssist and CAP AI  you’re not just prepared for outage season—you’re equipped to master it.

 

Enhance Your Outage Management with NuclearN

Posted on by sondra

Managing nuclear plant outages is a critical task that demands meticulous planning, precise execution, and rapid responses to unforeseen challenges. At NuclearN, our platform, designed by nuclear engineers for nuclear engineers, offers a comprehensive solution to transform your outage management process, ensuring safety, compliance, and cost-effectiveness.

Comprehensive Outage Schedule Support

NuclearN provides robust schedule support to help you manage and mitigate risks effectively:

  • Identify Risks: Quickly identify high-schedule risk activities by department to prioritize and mitigate potential delays.
  • Accurate Predictions: Obtain precise outage duration predictions to plan effectively.
  • Flexibility in Planning: Run “what-if” scenarios to understand the impact of scope changes and adjust plans proactively.

Financial Support for Optimal Budget Management

Efficient financial management is crucial during outages. NuclearN offers tools to optimize your budget and ensure financial accuracy:

  • Budget Optimization: Strategically reduce online and spring outage O&M charges to accommodate outage expenses.
  • Asset Validation: Ensure all planned outage work orders are correctly classified as fixed assets, preventing financial discrepancies.

Engineering Support for Efficient Operations

NuclearN enhances engineering support by speeding up processes and ensuring compliance:

  • Expedite Changes: Speed up the process for DCNs and temporary alterations to keep projects on track.
  • Compliance Checks: Efficient 50.59 screening for replacing obsolete parts, ensuring regulatory compliance.
  • Scope Review: Accelerate the engineering review of scope, ensuring all aspects are covered in time.

Outage Readiness: Preparing for Success

With NuclearN, your facility is well-prepared before the outage begins, setting the stage for success with fewer resources:

  • Daily Monitoring: See changes to schedule risks daily as tasks are complete, allowing quick adjustments.
  • Impact Analysis: Understand each activity’s percentage impact on the critical path to prioritize effectively.
  • Scenario Planning: Continuously run “what-if” scenarios to adapt to new challenges and changes.
  • Risk Identification: View high-schedule risk activities by group to allocate resources where needed most.

Observation Program for Continuous Improvement

NuclearN supports an efficient observation program to drive continuous improvement:

  • Efficient Observations: Supervisors can conduct faster, lower-friction observations.
  • Real-Time Analysis: Benefit from real-time trending and analysis to detect and address issues promptly.
  • Enhanced Quality: Ensure higher quality and more meaningful observations.

Issue Resolution and Enhanced Operations

NuclearN enables your team to react swiftly and efficiently during outages:

  • Expedite Changes: Speed up DCNs and temporary alterations.
  • Compliance Checks: Efficient 50.59 screening for obsolete parts.
  • Scope Review: Accelerate the engineering review of scope.

Optimize Financial and Engineering Efficiency

NuclearN helps you optimize budgets and ensure accurate financial management:

  • Expense Management: Reduce unnecessary O&M charges.
  • Asset Classification: Ensure accurate classification of planned outage work orders.

Stay ahead with NuclearN and transform your outage management strategy today!

NuclearN v1.9 Release

Posted on by sondra

“At NuclearN, we are committed to continuous innovation. Our goal is to release a new version of our platform every 3 months, ensuring that our customers always have access to the latest advancements in technology and efficiency.”

— Jerrold Vincent & Brad Fox, NuclearN co-founders

The release of NuclearN version 1.9 at the end of 2023 introduced a new product plus new features and enhancements aimed at improving operational efficiency and the user experience for power generating utilities and beyond.


NuclearN Project Genius

The major addition with this release – Project Genius – integrates analytics and intelligence for large and complex projects. By using AI to learn from historical project data, and leveraging Monte Carlo simulations for new projects, Project Genius can automatically identify key project risks and highlight key opportunities for improving schedule, quality and cost.

Project Genius is now being implemented across a customer fleet in the United States, capitalizing on its strength in using Monte Carlo simulations for fleet-wide projects. This feature excels in forecasting uncertain project outcomes, streamlining risk identification, and uncovering opportunities to enhance project schedules, ultimately boosting decision-making and overall project efficiency. For more information about Project Genius, click here.


Critical vs Non-Critical Field Classification in Automation

This update allows users to classify fields in automation workflows as critical or non-critical, a crucial distinction for prioritizing decisions like condition reporting and significance levels. The platform now distinguishes accuracy in two areas – one for critical and the other for non-critical fields.  The changes are reflected in Auto Flow reports and KPIs, facilitating a more natural evaluation of results aligned with actual business value and impacts.



Bug Reporter

Our new email-based Bug Reporter captures error information and relevant logs, encrypts them, and creates a downloadable file for users to email to our support team. This simplifies bug reporting, making communication of issues more efficient.



Report Template Updates

We have refined our report templates, enhancing their intuitiveness and user-friendliness, ensuring the valuable data NuclearN provides is more accessible and actionable.

Version 1.9 showcases our continuous innovation and responsiveness to the energy sector’s needs, emphasizing robust, secure solutions that leverage AI and advanced technologies to amplify human expertise. This focus reflects our commitment to precision, safety, and reliability, positioning NuclearN as a leader in operational excellence and forward-thinking energy generation, with safety and efficiency as our guiding principles.



Stay informed and engaged with everything AI in the nuclear sector by visiting The NuclearN Blog. Join the conversation and be part of the journey as we explore the future of AI in power generation together.