Plan data-centre investments, connect industrial information and apply AI to defined operating needs. Our work spans location and commercial decisions, delivery governance, systems integration and the adoption of technology that teams can use.
Explore our servicesFor data-centre developers, investors and operators, and energy or industrial organisations planning digital transformation, connected operations or AI implementation.
Our services combine engineering and advisory work with implementation support and specialist technology where it adds value. Each engagement has an agreed scope, delivery team, responsibilities and outputs.
Establish the technical and commercial case for a location before committing to land, utilities or delivery.
Shape the requirements, development concept and delivery approach for mission-critical facilities, balancing capacity, resilience, power, cooling and sustainability with the commercial objectives of the investment.
Compare candidate locations against the infrastructure and business conditions that determine viability. A focused two-week sprint can be agreed once the scope, locations and required data are confirmed.
Investigate shortlisted sites in greater detail through desktop checks, stakeholder coordination and virtual or in-person visits, capturing the constraints and dependencies that affect the development decision.
Develop a decision-ready comparison of location options, combining capital and operating costs, sustainability measures, delivery risks and commercial sensitivities into a clear investment assessment.
Coordinate the land, access, approvals and commercial choices that underpin a viable digital-infrastructure project.
Assess land and tenure options against power, fibre, access and expansion needs, with financial comparisons that make the trade-offs between buying, leasing and phased growth visible.
Prepare the commercial position for negotiations and support the client’s discussions with landlords or developers, coordinating term-sheet inputs and redlines with the client’s legal advisers.
Map the approvals, submissions and utility connections needed for the project, then align responsibilities and dependencies with the development schedule and readiness for commissioning.
Coordinate the technical inputs, routes and stakeholder interfaces required for fibre, utilities and access, working with the client’s legal and surveying advisers on the necessary agreements.
Develop the cost and revenue structure for data-centre, edge and colocation services, testing capacity, utilisation, power charges and service terms against the project’s commercial objectives.
Identify relevant establishment routes and incentive opportunities, organise the evidence and application requirements, and coordinate the practical steps with appropriate local and specialist advisers.
Bring the roadmap, vendors, project controls and information flows together around a defined implementation.
Assess current processes and systems, prioritise the improvements and establish a delivery roadmap with clear governance, vendor responsibilities, reporting and assurance through implementation.
Connect scheduling, cost, risk and field information in a coherent reporting environment, with workflows and dashboards that give project teams a shared view of delivery.
Define the packaging and vendor approach for OT, IT and facility systems, then support competitive evaluation, interoperability requirements, award recommendations and the handover into delivery.
Support developers, tenants and vendors with structured opportunity decisions and proposal preparation, bringing requirements, technical solutions, pricing and reviews into a controlled submission process.
Make facility information useful while addressing the operational interfaces and security needs of connected environments.
Assess industrial and facility-control environments, identify exposure and coordinate suitable specialist controls so that greater connectivity supports operational needs while addressing cyber risk.
Connect sensor, historian, engineering and enterprise data in a usable digital model, giving operators a clearer view of asset condition, performance and the implications of proposed changes.
Start with the operating decision or workflow, establish the data requirements and select a delivery approach that can be evaluated in practice.
Apply suitable analytics to power, cooling and equipment data to identify inefficiencies, anticipate maintenance needs and evaluate operating adjustments with the people responsible for the facility.
Integrate data and suitable enterprise platforms across IT and OT environments, then configure analytics, models and reporting around the decisions and workflows the organisation needs to improve.
Translate an operational challenge into an AI implementation plan, covering use-case selection, data readiness, pilot design, integration and the changes needed for teams to adopt the solution.
Arrange the agreed technology-access and support model around the client’s needs, using suitable partner platforms or existing client licences with clear responsibilities for configuration, reporting and ongoing assistance.
Where a standard platform does not meet the need, we can scope specialist development opportunities with suitable delivery partners, from data engineering and model evaluation to integration.
The exact deliverables depend on the assignment. These examples show what a focused engagement can provide.
A clear comparison of sites, infrastructure constraints, costs, risks and delivery assumptions to support the next investment decision.
Requirements, workstreams, utility interfaces, authority submissions and responsibilities aligned to a practical development sequence.
Prioritised use cases, data and integration requirements, vendor responsibilities and the governance needed to deliver them.
A bounded implementation with agreed measures, documented findings and a recommendation on what to improve or scale.
Configured reporting, documented interfaces, trained users and a defined support model for the systems delivered.
A focused review, pilot or delivery package can establish what needs to happen next.
Bring the capacity, geography and timing requirements for a focused comparison of infrastructure and commercial constraints.
Assess the systems, processes and data already in place, then prioritise the next implementation steps.
Choose a specific decision or workflow, examine the available data and agree a measurable proof of value.
Clarify requirements, compare delivery options and establish a structured evaluation and implementation plan.
A short introduction is enough. We can identify the information and specialist input the next step needs.
Tell us about your digital infrastructure, operating workflow or AI opportunity. We can discuss the scope, specialist team and practical next step.
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