One platform for every megawatt on your grid

Yes. Mango supports DNP3 (both serial and TCP/IP), IEC 61850, IEC 60870-5-104, Modbus TCP/RTU, MQTT, OPC-UA, and dozens more utility-grade protocols out of the box. DNP3 is the dominant protocol in North American utility SCADA environments, and the platform is designed so that protocol diversity is a solved problem, not an ongoing integration project.

Mango treats every DER site as a first-class data source, connecting solar arrays, battery storage, wind turbines, and microgrids through their native protocols into a single normalized data model. The edge-to-cloud architecture means you can run Mango locally at each site for low-latency control, then aggregate everything into central dashboards for portfolio-level visibility. Adding a new site does not require rearchitecting your monitoring infrastructure.

Yes. Mango supports NERC CIP compliance workflows through role-based access controls, comprehensive audit logging, and secure communications. Every user action, configuration change, and data access event is recorded with timestamps and user attribution. The platform can be deployed within segmented network architectures that align with CIP requirements for electronic security perimeters, and its outbound-only Cloud Connect module avoids the need for inbound firewall rules that complicate compliance posture.

Mango connects directly to solar, wind, and battery storage equipment, normalizing all generation data into consistent metrics for cross-technology, cross-vendor comparison in a single view. For solar, it monitors inverters, combiner boxes, trackers, pyranometers, and weather stations to track production, irradiance, panel temperature, and degradation trends. For wind, it monitors turbine output, nacelle orientation, blade pitch, vibration, and bearing temperatures. For battery storage, it tracks state of charge, cell voltages, thermal management, and charge/discharge cycles.

Yes. Mango provides the clean, unified, time-series data layer that AI and machine learning models require, eliminating the data wrangling step that typically consumes 80% of analytics project time. By normalizing telemetry from diverse equipment into consistent data streams, it enables reliable model training and inference. You can export data via REST APIs, SQL queries, or MQTT streams to feed external ML platforms, or use Mango's built-in scripting engine to run anomaly detection and threshold prediction logic directly on the platform.

Mango connects to battery management systems at the cell, module, and rack level, tracking temperatures for thermal runaway early detection, state of health degradation over time, capacity fade curves, and charge/discharge optimization. Fire safety compliance reporting pulls directly from live sensor data. Whether you are running lithium-ion, flow batteries, or emerging chemistries, BESS telemetry is integrated into the same unified view as your generation and grid assets.

Yes. The MangoGT edge appliance runs on embedded hardware at remote sites, handling local data collection, alarming, and control even when connectivity is intermittent. When bandwidth is available, it syncs data to central Mango instances or cloud deployments. This edge-to-cloud architecture ensures your remote solar fields, offshore wind platforms, or rural substations maintain full monitoring and control capability regardless of network conditions.