Intelligent operations for commercial buildings

Yes. Mango is protocol-agnostic and connects natively to BACnet, Modbus TCP/RTU, LonWorks, OPC-UA, SNMP, MQTT, and dozens of other standards, plus proprietary vendor APIs. It normalizes data from all of them into a single operational view, so your team gets uniform visibility regardless of what equipment each building runs. Cross-system correlations that were previously invisible become immediately apparent.

Mango calculates energy intensity, carbon metrics, and water usage directly from live operational telemetry, producing audit-ready data for NYC Local Law 97, Building Performance Standards, ASHRAE 90.1 benchmarking, GRESB, BREEAM, and CSRD reporting in minutes instead of weeks. With LL97 penalties at $268 per metric ton of CO2 over the limit and 30+ US cities enacting similar standards, continuous monitoring is no longer optional. errProof adds a validation layer that certifies the underlying data accuracy for auditor documentation.

Yes. Mango connects to submeters at any level of granularity, from floor-level to individual tenant suites, and normalizes the data into time-series histories that support both billing reconciliation and usage analytics. You can build dashboards showing per-tenant consumption, compare usage across floors or buildings, and feed validated data directly into your billing systems without manual extraction.

It requires clean, unified, consistent data from across all building systems, which is exactly what Mango provides. AI models for predictive HVAC, fault detection, and demand response depend on high-quality time-series data that spans multiple systems. If your HVAC data is siloed from your occupancy data and your metering data, models produce unreliable results. Mango creates the unified data foundation that makes AI-driven optimization actually work.

Mango normalizes data from any vendor or protocol into a consistent data model, so adding buildings requires zero rearchitecting. Every building can run different HVAC vendors, different metering systems, and different BMS controllers while your teams get uniform visibility regardless of what is installed at each location. Cross-site benchmarking, portfolio-level dashboards, centralized alerting, and aggregated ESG reporting all work seamlessly as you grow.

Mango reduces your attack surface by consolidating OT monitoring into a single governed platform, cutting the number of credential sets, vendor portals, and unsecured endpoints your team must manage. Building OT environments are increasingly targeted because they often run legacy protocols with minimal security. Role-based access controls, audit logging, and support for network segmentation best practices mean your security posture improves as you consolidate, rather than degrading as your portfolio grows.