Beyond Energy Newsletter
August 2025
Navigating LLM compliance in the energy sector
A note from Adam Sroka, Hypercube CEO & Co-Founder:
The rapid development of large language models (LLMs) presents unprecedented opportunities for the energy sector, enabling improved decision-making, operational efficiency, and innovation. At the same time, this pace of change introduces significant compliance and governance challenges. Organisations must manage ethical risks, bias, prompt injection vulnerabilities, and regulatory requirements, all while deploying LLM-based solutions at speed.
CALLM, Compliance Automation for LLMs, provides a structured, scalable framework to address these challenges. It automates risk evaluation, ethical grading, and continuous monitoring across any model or deployment environment. By aligning fast-moving AI adoption with internal governance and external regulatory guidance, CALLM enables organisations to deploy LLM-based solutions responsibly and with confidence.
Join our webinar on September 10th to gain insights into the LLM landscape in the energy sector and learn how to implement safe and effective LLM solutions in highly regulated environments.
Beyond Energy Community Meetup - Edinburgh
Join us for an evening in Edinburgh dedicated to the future of energy, with a dynamic panel hosted by Adam Sroka (CEO, Hypercube) and expert perspectives from Steve Sinclair (Head of Data, Flexitricity), Rachel Hassall (Head of Data and Analytics, SSE Energy Solutions), and Dr Faraz Malik Awan (Senior EV Data Scientist, Zenobē), followed by networking with fellow energy professionals.
AI workflows driving automation and insights in energy
At the recent MLOps Community Agents in Production virtual event, our CEO Dr. Adam Sroka explored how AI is evolving from suggesting next steps to actively managing renewable energy projects.
Adam highlighted how multi-agent AI workflows are now capable of automating planning, collecting and analysing data, generating reports, and delivering real-time insights - all while keeping humans in the loop.
He also shared insights on:
- Building resilient AI workflow architectures for effective automation
- Providing real-time analytics with intuitive access for users
- Leveraging agentic AI to accelerate progress toward net-zero goals
As AI moves from advisory to operational roles, the energy sector stands to benefit from faster, smarter, and more scalable project management - without losing the critical human oversight that ensures success.
Energy tech early careers: Life as Associate Engineer at Hypercube
In her latest blog, Eilidh Pike, Hypercube’s first Associate Engineer, reflects on her journey exploring AI, psychology, and renewable energy. In this early-career role, she rotates across the tech team, gaining hands-on experience while contributing to projects that turn complex data into actionable insights with tangible impact.
She shares what it’s like to work on a variety of projects, from predictive maintenance and battery energy storage systems (BESS) to customer data analysis, and how these experiences are helping her grow as an engineer.
From prosumers to everyone: How AI is changing home energy
Early adopters, or prosumers, once led the charge in home energy management, but the next wave of change comes from ordinary households. AI-powered Home Energy Management Systems (HEMS) now make it easy for homes to optimise energy use automatically, without requiring time or expertise.
Social influence accelerates adoption: when neighbours install solar panels or smart energy systems, others follow, creating a ripple effect across communities. By combining automation, AI, and visible benefits, smart homes are becoming mainstream - helping households save money, improve comfort, and contribute to the broader energy transition.
Hypercube partners with SAS to drive innovation in the energy sector
Hypercube is excited to become part of the SAS Partner Program and the SAS IoT Partner Ecosystem, combining our deep energy sector expertise with SAS’s advanced AI and analytics solutions.
Through this partnership, we are helping energy organisations enhance operations with AI-powered cloud energy forecasting, improve decision-making while reducing IT complexity, and scale solutions efficiently with automation and advanced analytics.
Together with SAS, we are empowering utilities, renewables, and energy infrastructure operators to build smarter, more resilient, and sustainable energy systems.
Hypercube joins Aberdeen & Grampian Chamber of Commerce
We’re excited to announce that Hypercube has officially joined the Aberdeen & Grampian Chamber of Commerce. This milestone connects us with the North-east’s largest business network, representing over 1,250 organisations and 125,000 employees.
Membership reinforces our commitment to investing in our team, building strong local connections, and supporting long-term growth. As we engage more deeply with the Aberdeen business community, we remain dedicated to helping the region advance toward a more innovative and sustainable energy future.
Making your codebase AI-friendly and team-ready
Principal Full Stack Software Engineer Jamie Smith shares practical strategies to make codebases more AI-friendly. By improving structure, clarity, and documentation, teams can help AI tools and human developers understand, maintain, and enhance code more effectively. These changes also boost collaboration, reduce errors, and make onboarding new contributors faster and easier.
Top tips:
- Improve code clarity, readability, and maintainability
- Provide context and structure to guide AI and new contributors
- Use testing and annotations to increase reliability and reduce errors
- Streamline workflows to make development more efficient
- Future-proof your codebase for collaboration and AI integration
Shadow AI: Hidden risks in energy
Energy organisations are increasingly facing a new challenge: Shadow AI. This happens when employees use AI tools and large language models (LLMs) without formal approval. While these tools can boost productivity, they also introduce serious security, compliance, and regulatory risks, potentially exposing sensitive data and intellectual property.
Addressing Shadow AI requires clear governance, oversight, and robust risk management. Organisations can benefit from structured approaches such as automated testing, continuous monitoring, and transparent reporting to safely integrate LLMs and capture the advantages of AI without compromising security or compliance.
Recharged: Hypercube Energy Podcast returns in September
Our podcast returns this September after a short pause, bringing fresh insights on energy, technology, and innovation.
You can now watch full Hypercube podcast episodes on Spotify, or listen to previous episodes to explore expert discussions, industry trends, and practical takeaways from our team and guests.
