Our solutions help you reduce IT & cloud costs and then return to growth with generative AI.

Lighthouse specialise in FinOps, ensuring efficient AI-driven cloud resource management.

Our strategy hinges on IBM Turbonomic for real-time workload optimisation and IBM Apptio for comprehensive financial insights.

Together, they empower us to maximise efficiency, align costs with business goals, and drive sustainable growth for our customers.

IBM Turbonomic optimises IT resources in real time, ensuring peak performance and cost efficiency. Here’s why it stands out:

  • Automated Workload Optimisation: Dynamically adjusts resources to match demand, removing the need for manual intervention.
  • Multi-Cloud & Hybrid Support: Seamlessly manages AWS, Azure, GCP, IBM Cloud, and on-premises environments.
  • AI-Driven Efficiency: Predicts and adjusts resource needs proactively to prevent bottlenecks and waste.
  • Policy-Based Control: Aligns resource allocation with business priorities and service level agreements.
  • Full Visibility & Insights: Offers detailed analytics on usage and costs for informed decision-making.

Effortless optimisation, maximum efficiency—that’s IBM Turbonomic.

    IBM Apptio empowers organisations with deep financial insights and optimisation across IT investments. Here’s why it’s essential:

    • Unified Financial Management: Provides a single view of IT costs across AWS, Azure, GCP, and on-premises environments for accurate budgeting.
    • Cost Transparency & Allocation: Breaks down expenses, ensuring precise cost allocation to business units and projects.
    • Forecasting & Planning: Uses advanced analytics to predict IT spending trends and optimise budgets in line with strategic goals.
    • Benchmarking & Optimisation: Compares costs against industry standards to identify savings and efficiency gains.
    • Seamless Integration & Automation: Connects with existing IT systems, automating data collection and analysis for streamlined financial management.

    Clearer insights, smarter spending—IBM Apptio.