Delivering a High-Risk Digital Rebrand for an Energy Solutions Organisation
Delivering a High-Risk Digital Rebrand with Zero Disruption
Executing a confidential, time-critical cloud infrastructure transformation to support a seamless corporate rebrand.
About the Client
A UK-based energy solutions provider operating across engineering, procurement and construction. Following a significant corporate transaction, the organisation was required to deliver a full rebrand within a fixed timeframe, encompassing cloud infrastructure, digital workplaces and identity systems, without disrupting day-to-day operations.
Global Energy Services Organisation
Azure-First Cloud Environment
Business-Critical Rebrand Programme
The Challenge
The rebrand required the migration and reconfiguration of all cloud services, user identities, and digital assets within a fixed and immovable timeline. The project was highly sensitive, with all changes needing to remain confidential until the official brand launch.
Any errors would have been immediately visible to employees, customers, and stakeholders, risking reputational damage and operational disruption. The organisation needed a partner with deep Azure infrastructure expertise, strong delivery discipline, and experience handling high-risk, high-visibility transformations.
Our Approach
Hypercube partnered closely with the organisation to plan and deliver a secure, end-to-end cloud rebrand programme, combining infrastructure expertise with rigorous testing and execution.
- Cloud & Identity Consolidation: Unified multiple legacy email domains into a single corporate identity and enabled Azure-based user authentication from day one, ensuring a seamless and consistent employee login experience.
- Digital Workplace Rebranding: Transitioned all cloud and device-level branding, including Intune, Azure, desktops, lock screens, wallpapers and network identifiers, without disrupting day-to-day operations.
- Application & Collaboration Alignment: Reviewed, renamed and reconfigured SharePoint, OneDrive, Teams, Power Apps and supporting services, carefully managing dependencies to prevent disruption to existing workflows.
- Risk-Managed Delivery & Testing: Executed extensive planning, validation and scenario testing across identity, applications, DNS, certificates and service accounts, ensuring a secure, error-free go-live for a highly visible rebrand.
Outcomes
Seamless Rebrand with Zero Disruption
All cloud services, identities, and digital assets transitioned successfully with no impact on users or operations.
Delivered Under Extreme Time Pressure
The full programme, including planning, migration, testing and go-live was completed in just 22 days.
Secure and Confidential Execution
All work remained fully confidential until brand launch, protecting commercial sensitivity and stakeholder confidence.
Trusted Delivery Partner for High-Risk Change
The organisation relied on Hypercube’s deep Azure expertise and proven delivery capability to execute a business-critical transformation flawlessly.
Hypercube partners with energy innovators to accelerate digital transformation, delivering AI, data, and technology solutions built for real-world impact.
Modernising a Distributed, Safety-Critical Network for a UK Public Sector Organisation
Modernising a Distributed, Safety-Critical Operational Network
Delivering scalable, centrally managed connectivity across distributed sites with minimal operational disruption.
About the Client
A UK-based public sector organisation operating across multiple geographically dispersed sites. The organisation plays a critical role in delivering essential services and relies on resilient, secure IT infrastructure to support safety-critical operations and day-to-day activities.
As part of a wider cloud-first strategy, the organisation sought to modernise its legacy network infrastructure to improve scalability, reliability and operational efficiency across all locations.
Multi-Site Public Sector Operator
Cloud-First IT Strategy
Safety-Critical Operational Environment
The Challenge
Following a successful migration of core applications, identity, and end-user services to the cloud, the organisation faced a growing constraint in its ageing, on-premises network infrastructure.
The existing network switches, deployed across multiple geographically dispersed sites, were difficult to manage, costly to maintain, and poorly aligned with the organisation’s modern cloud environment. Limited central visibility and manual configuration increased operational overhead and made scaling or responding to issues more complex.
The organisation required a modern, cloud-managed network solution that could be deployed with minimal disruption to critical operations, while providing centralised control, improved resilience, and long-term flexibility.
Our Approach
Hypercube partnered with the organisation to design and deliver a phased transition to a fully cloud-managed network, combining technical execution with careful planning and knowledge transfer, without interrupting live operations.
- Cloud-Managed Network Design: Implemented a centralised, cloud-based network management platform to provide real-time visibility, monitoring, and control across all locations.
- Phased Site Migration: Replaced legacy on-premises switches with modern, cloud-managed hardware at each site, carefully replicating existing configurations to ensure continuity of service during transition.
- Risk-Minimised Deployment: Coordinated planned implementation windows and conducted validation testing at each location to minimise disruption to safety-critical and operational services.
- Knowledge Transfer & Enablement: Delivered training, documentation, and updated network diagrams, enabling the internal IT team to confidently manage, maintain, and expand the network independently.
Outcomes
Centralised Network Visibility and Control
The organisation now benefits from a single, cloud-managed view of its network infrastructure across all sites, improving oversight and responsiveness.
Improved Scalability and Operational Efficiency
The modern network architecture simplifies management, reduces manual intervention, and supports future expansion with minimal additional effort.
Minimal Disruption to Critical Operations
All sites were transitioned with carefully planned downtime, ensuring continuity of service across operational environments.
Future-Ready, Cloud-Aligned Infrastructure
The new network integrates seamlessly with the organisation’s wider cloud environment, providing a resilient foundation for ongoing digital transformation.
Hypercube partners with energy innovators to accelerate digital transformation, delivering AI, data, and technology solutions built for real-world impact.
From Data Silos to Seamless Insight for UK-based Energy Consultancy
From Data Silos to Seamless Insight for UK-based Energy Consultancy
Transforming complex, siloed datasets into a connected platform for faster, smarter decision-making.
About the Client
A UK-based energy consultancy specialising in oil and gas market analysis. The organisation helps major energy players make data-driven decisions using operational and market intelligence. However, siloed and hard-to-manage datasets had begun to slow research and collaboration, limiting innovation and the overall value extracted from costly energy data investments.
Data-Driven Energy Expertise
Cloud-Based Benchmarking Platform
Driving Data-Led Transformation
The Challenge
The consultancy’s teams relied on fragmented systems and outdated benchmarking tools, making it difficult to generate insights efficiently. Manual data preparation and inconsistent access to critical datasets hindered research turnaround times and collaborative work across departments.
To remain competitive and unlock the value of its data, the business needed to modernise its data architecture – creating a secure, scalable, and intuitive environment that would support cloud migration and accelerate decision-making.
Our Approach
Hypercube worked in partnership with the client to design and deliver a modern data platform that combined consultative strategy with practical implementation.
- Database Re-Architecture: Redesigned the backend of the client’s cloud-based benchmarking platform for improved scalability, usability, and long-term performance creating a stable foundation for analytics and future innovation.
- Rapid Research Enablement: Developed an Elasticsearch-powered search and analysis tool to deliver instant, AI-driven insights from large and complex datasets, reducing manual data handling and turnaround time from hours to seconds.
- Domain & Data Alignment: Bridged the gap between energy subject-matter experts and data science teams, ensuring technical solutions directly addressed business challenges and improved collaboration across disciplines.
- Collaborative Partnership: Embedded transparent, co-creative working practices with stakeholders to accelerate delivery and build trust - enabling fast feedback loops and measurable impact from day one.
Outcomes
Real-Time Access and Faster Insight
Analysts can now explore and compare large datasets in seconds, reducing manual effort and accelerating research and decision-making across the business.
AI-Powered Efficiency
Automated data pipelines and smart search tools have replaced manual workflows, improving accuracy and freeing up teams to focus on higher-value analysis.
Future-Ready Cloud Architecture
A re-architected backend now delivers secure, scalable performance, providing a strong foundation for advanced analytics and future AI initiatives.
Seamless Collaboration
With unified, cloud-based data access, teams share a single source of truth enhancing productivity, transparency, and cross-functional collaboration.
Hypercube partners with energy innovators to accelerate digital transformation, delivering AI, data, and technology solutions built for real-world impact.
Building a Cloud-Native BESS Data Platform for a Leading Energy Storage Fund
Building a Cloud-Native BESS Data Platform for a Leading Energy Storage Fund
Transforming fragmented BESS data into a unified platform for real-time insight, protected trading intelligence, and portfolio-scale optimisation.
About the Client
A London listed energy storage fund, managing a rapidly expanding portfolio of BESS assets across five electrical grids. As a market leader in flexibility markets, the fund sought to deepen asset insight, safeguard its trading IP, and build a scalable foundation for long-term, AI-driven optimisation.
Market-Leading Storage Portfolio
Multi-Grid Operational Footprint
Commitment to AI-Driven Advantage
The Challenge
The fund faced growing complexity as its BESS portfolio expanded. Fragmented systems limited central visibility and slowed performance benchmarking, while disconnected data sources restricted access to high-frequency market and trading information.
At the same time, rising data volumes increased pressure on platform performance, security, and cost – all while the organisation needed to protect sensitive trading intelligence and maintain full data sovereignty.
To stay ahead of the market, the fund required a cloud-native platform paired with a trusted, ongoing managed service to ensure stability, security, and continuous innovation.
Our Approach
Hypercube partnered with the organisation across two key phases: building a modern BESS data platform and providing continuous operational oversight.
- Phase 1: Platform Build
- Integrated Data Architecture: Unified high-frequency site telemetry, market signals, and trading information within the client’s secure cloud environment, creating a single cohesive data layer.
- Advanced Analytics & Reporting: Delivered AI-enhanced operational and financial analytics that improved visibility into asset health, optimiser performance, and revenue drivers.
- Scalable Cloud Infrastructure: Designed a cost-effective, future-ready platform capable of supporting rapid portfolio expansion and the onboarding of new grid connections.
- Specialist Energy Domain Expertise: Applied deep BESS, energy trading, and data engineering knowledge to accelerate delivery, reduce integration friction, and maximise long-term impact.
- Phase 2: Managed service
- Continuous Monitoring & Optimisation: Ensured stability, uptime, and cost efficiency across environments.
- Secure Data Management: Maintained strong governance for sensitive trading and operational data.
- Performance & Cost Control: Proactive tuning to manage rising data volumes and cloud spend.
- Ongoing Innovation: Enabled new features, models, and integrations without platform disruption.
Outcomes
Real-Time Visibility & Faster Decisions
A centralised platform gives the fund live access to performance, trading, and operational data across all grids.
Protected Trading IP & Data Sovereignty
All optimiser, trading, and asset data remains securely within the client's cloud environment, safeguarding competitive advantage.
Continuous Innovation Through Managed Platform
A modern architecture enables new analytics, AI models, and data integrations without platform rework.
Scalable Operations for a Growing BESS Portfolio
Designed for expansion, the platform supports new sites, new grids, and evolving optimisation strategies with ease.
Hypercube partners with energy innovators to accelerate digital transformation, delivering AI, data, and technology solutions built for real-world impact.
Case Study: Flexitricity
Flexitricity Scales Energy Forecasting MLOps to Drive Value in Hours
About Flexitricity
Founded in 2004, Flexitricity is Great Britain’s first pioneering demand response aggregator, which has grown to support 1.1GW+ of fully flexible virtual power plant (VPP) assets across the country. Flexitricity is helping to build a greener energy network, by enabling industrial and commercial businesses, investors and developers, utility companies and public sector organisations to earn revenue with flexible assets.
1st Demand Response Aggregator in GB
1.1GW+ Contracted VPP of Fully Flexible Assets
24/7 Control Room and Operations
The Challenge
Flexitricity is a highly technical demand response business managing an extensive VPP flexible asset portfolio and energy trading team. It is developing an updated offering for its energy partners enabling greater value capture for behind-the-meter assets, aligning with changing market access regulations within the GB energy market. Flexitricity needed to further scale its machine learning operations (MLOps) without growing the internal data team unnecessarily. The requirement was time-sensitive, as scalable MLOps needed to be implemented and robustly tested to ensure viable development of Flexitricity’s evolving energy offering. The team required MLOps expertise to complement and support its internal data capability, to mature and establish best practice energy forecasting MLOps.
"Getting a model into production can now be done in an hour. Having a consistent process really drives that speed improvement.”
Steve Sinclair
Head of Data at Flexitricity
Our Approach
Hypercube engaged with Steve Sinclair, Flexitricity’s Head of Data to design a machine learning modelling pipeline that would enable his team to produce energy usage predictions faster and at scale. The complex models need to ingest data from a variety of sources, including IoT devices on a range of flexible energy assets, and need to predict energy usage every 30 minutes.
The Flexitricity and Hypercube teams collaborated with Miro to map out the architecture required and Hypercube began building Azure MLOps pipelines within Azure. Dummy data was used to iteratively improve the models until forecasting and prediction performance was optimised for use in real-world environments. Hypercube built Azure machine learning capability with best practice approaches, automating the process of ML creation, from raw data into reproducible ML models. Hypercube also laid the foundations that enables model monitoring for drift detection.
The automation transformed the time it took the Flexitricity team to productionise energy forecasting ML models; the process now only takes hours. This optimisation has been transformative for the team, and the time saved has enabled Flexitricity to increase the experimentations it can run to thousands each year – unlocking huge potential for advancements in the data science team and wider business. The scalability of the standardised models and re-useable code has enabled Flexitricity to further develop its behind-the-meter energy offering with confidence.
Outcomes
ML Models Built in Hours
Flexitricity now has best-practice, automated MLOps pipelines that have reduced production time.
Achieves Executive Objective
Scaling the MLOps practice was a business imperative for Flexitricity's offerings, working with Hypercube enabled the team to meet the needs of the executive board.
Increasing Data Science Experiments to 100000+ Per Year
ML optimisation has transformed the potential of experimentation for the internal team.
Secure by Design
Built on Azure ML, the models are secure by design, with governance guardrails and user roles access implemented and defined.
Hypercube supports energy asset owner-operators, traders, route-to-market providers, and energy services companies to achieve world-class AI, data and analytics capabilities.
"The number of experiments we can run has jumped to hundreds of thousands a year. From a data science point of view, that’s really important. From the business point of view, there’s so much more confidence that we can scale with the VPP and that models will make it into production quickly. You can start driving value far quicker, which is the key thing for me.”
Steve Sinclair
Head of Data at Flexitricity
Download the full case study
