Use predictive models and asset analytics to forecast degradation, costs and risks — then feed those insights directly into your investment plans to lower total cost of ownership and stabilise CAPEX.
is the measurable financial return from shifting maintenance decisions off reactive triggers onto data-driven forecasts of degradation, failure probability and cost. Simeo by Oxand brings 10,000+ ageing and energy performance laws and 30,000+ maintenance actions and cost bases to every scheduling decision — so organisations reach lower total cost of ownership without installing a single new sensor.
Emergency repairs and unplanned downtime are consistently more expensive than scheduled maintenance. As asset portfolios age, the gap between reactive and predictive cost curves widens.
Without degradation models, teams cannot anticipate which assets will fail next or what the downstream service and financial consequences will be.
Regulators increasingly require documented maintenance rationale. Reactive decisions leave organisations unable to demonstrate that high-risk assets are proactively managed.
Boards and finance teams demand evidence that maintenance spend translates into measurable risk reduction and lifecycle savings — not just a cost centre.
Use predictive insights to schedule maintenance and asset renewal at the optimal time — not too early, not too late. Simeo's 10,000+ ageing models and 30,000+ maintenance cost bases determine the intervention window that minimises lifecycle spend.
Leverage Simeo's models to forecast asset performance and guide CAPEX and OPEX decisions. Every maintenance recommendation links back to a quantified risk reduction and a projected cost saving — making the case for investment transparent and auditable.
Visualise your portfolio and compare maintenance strategies under budget, service-level, risk and decarbonisation constraints. Tailor dashboards for operations teams, compliance leads and executive sponsors — all from a single model.
Identify vulnerabilities and high-cost maintenance issues before they become critical. Simeo flags assets crossing risk thresholds so teams can intervene proactively, protecting budgets while maintaining agreed service levels.
Manage maintenance schedules and budgets proactively, maximising asset uptime and reducing the volume of unplanned interventions.
Simplify regulatory compliance through transparent predictive data — every maintenance decision is traceable to a risk assessment and cost justification.
Access clear, traceable evidence trails generated automatically from Simeo to simplify audits, justify CAPEX and demonstrate ROI to boards.
We turned to Oxand because we needed a tool that would provide us with a predictive—not just corrective—view and help us manage our investments more effectively. Oxand stood out for its risk management capabilities.
We needed a tool that would allow us to consolidate the fragmented data we had and project it in a way that could be clearly presented to our elected officials, who are the decision-makers.
Typical ROI within 6 to 12 months through reduced maintenance spend and downtime, with predictive insights enabling payback within the first budget cycle.
Works alongside existing systems without requiring new hardware or sensors, seamlessly feeding predictive insights into multi-year investment planning.
Performance and ageing monitoring powered by Oxand Simeo™ produces long-term, risk-based investment plans and Master Plans to support informed decision-making.
We use data modelling and historical performance data instead of costly sensor-based systems, making predictive maintenance accessible to organisations that lack a sensor estate. Simeo's 10,000+ ageing models derive forecasts from the data you already have.
Clients typically observe significant cost savings within 6 to 12 months of implementation, as optimised maintenance schedules reduce emergency interventions from the first planning cycle.
No. Oxand's solution relies on existing inspection records, CMMS exports and operational data, eliminating the need for sensor installations or infrastructure changes.
Yes. The solutions are flexible and have been applied in infrastructure, real estate, energy and transportation, adapting Simeo's ageing and cost models to the specific degradation patterns of each asset class.
Simeo supports bulk import of spreadsheets and CMMS exports, BIM models and IoT feeds, as well as direct REST and GraphQL API connections to systems such as SAP and Maximo.
Bring your maintenance history and asset register. We'll show you where predictive models change the investment calculus — no new sensors required.
