Oxand helps owners and managers of large assets including local authorities, social housing providers, energy companies, and infrastructure operators – to decide where, when and how much to invest in their real estate and infrastructure assets, balancing cost, risk, performance and sustainability.
Its Simeo platform simulates multi-year investment strategies and prioritizes maintenance and renewal operations based on objective projections. At the core of the solution is a proprietary library of over 10,000 predictive aging models and 30,000 maintenance actions, continuously enriched by learning loops. The result: investment plans that can be audited, defended to governing bodies while remaining adaptable over time.
Simeo and CMMS: two complementary decision-making levels. While CMMS controls day-to-day maintenance operations (interventions, planning, inventories), Simeo operates at a strategic level: projecting asset ageing year by year, comparing investment scenarios under budgetary, energy and regulatory constraints, and cost/risk arbitration on a portfolio scale. Simeo uses CMMS data to feed its predictive models and converts its plans into operational programs that can be executed by the CMMS.
Measured Results with over 100 clients: 17% optimization of corrective maintenance budgets, 25% optimization of preventive maintenance budgets, and 28% reduction in energy consumption. References clients include SIG Geneva, the Brittany Region, the city of Marseille, ENGIE/CPCU, TPG Geneva.
Oxand supports Simeo’s deployments with expert asset management consulting services( ISO 55001), helping organizations accelerate value realization and empower teams to operate autonomously.
