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Simplify rental property management with an all-in-one software for landlords.

Decarbonize your real estate portfolio with real-time energy intelligence and automated ESG reporting.

Aquicore, a JLL company, is a leading ESG and energy management platform designed specifically for the commercial real estate (CRE) sector. Its technical architecture centers on a proprietary IoT data acquisition layer that integrates directly with building management systems (BMS), submeters, and utility providers to capture high-fidelity, real-time energy data. By 2026, Aquicore has positioned itself as the 'system of record' for institutional landlords aiming for Net Zero compliance. The platform utilizes advanced machine learning algorithms to identify operational inefficiencies, predict peak demand periods, and forecast energy consumption patterns. Its market position is strengthened by its integration within the JLL Technologies ecosystem, allowing it to provide a seamless bridge between data-driven insights and physical building optimizations. The platform's 2026 roadmap focuses heavily on generative AI for automated ESG disclosure narratives and predictive maintenance workflows that transition buildings from reactive to autonomous operations. By centralizing disparate data streams from global portfolios into a standardized cloud-based environment, Aquicore enables asset managers to mitigate climate risk, ensure regulatory compliance (Local Law 97, SFDR, etc.), and drive significant ROI through reduced utility expenditures.
Aquicore, a JLL company, is a leading ESG and energy management platform designed specifically for the commercial real estate (CRE) sector.
Explore all tools that specialize in predictive maintenance. This domain focus ensures Aquicore delivers optimized results for this specific requirement.
Uses historical usage patterns and weather forecasting data to predict and alert building engineers 24 hours before a peak demand event.
Direct API integration with GRESB, ENERGY STAR Portfolio Manager, and SASB reporting frameworks.
Real-time streaming of BMS data points into a cloud-based digital twin for remote diagnostic analysis.
Algorithmic partitioning of energy loads using mathematical models instead of physical hardware installation.
Unsupervised learning models that identify outliers in consumption that signify equipment malfunction or human error.
Automated generation of tenant utility invoices based on real-time submeter data and local utility tariff rates.
Calculates Scope 1 and Scope 2 emissions using localized grid emission factors (e.g., eGRID data).
Portfolio assessment and site selection for IoT deployment.
Installation of Aquicore Hub or gateway for on-site data extraction.
Integration with Building Management Systems (BMS) via BACnet or Modbus.
Utility account linking via automated credentialing for historical data scraping.
Submeter mapping and configuration of virtual meter logic.
Definition of ESG reporting targets (e.g., GRESB, ENERGY STAR).
Data normalization and cleansing using Aquicore’s proprietary validation engine.
Creation of custom dashboards for asset managers and engineering teams.
Automated alert threshold configuration for anomaly detection.
Final user acceptance testing (UAT) and executive reporting setup.
All Set
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Verified feedback from other users.
"Users highly value the real-time nature of the data compared to competitors who only offer monthly bill scraping. The platform is praised for its clean UI and executive-level reporting, though some note the initial hardware installation phase can be complex."
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