Baseline and event performance
Test selection rules, adjustments, event calculations, and evidence packages using reviewable configurations.
About GridMango
Purpose-built validation for energy programs and grid-connected assets.
GridMango gives energy teams a dedicated place to test baseline logic, telemetry, simulated DER and front-of-meter assets, and protocol workflows before they reach production.
Why we built it
Critical validation work should not depend on one-off spreadsheets and repeated manual calculations.
GridMango started with a recurring problem inside DERMS and clean-energy projects: teams were expected to prove that complex program and asset workflows worked, but purpose-built test infrastructure was rarely available.
Engineers rebuilt the same calculations, assembled temporary simulators, and reconciled results across disconnected files and scripts. The work was essential, but the process was difficult to repeat and even harder to review.
We are building GridMango to turn that effort into a consistent validation environment—one where inputs are explicit, test conditions are controlled, and every result carries the evidence needed for review and retesting.
From program data to end-to-end behavior.
Telemetry quality and preparation
Generate, import, normalize, and repair interval data before it enters downstream analytics or integration tests.
DER simulation and control response
Create realistic device profiles and inspect how simulated assets respond to dispatches under defined constraints.
Protocol workflows
Exercise VEN, VTN, event, reporting, and device-integration behavior with operator-visible diagnostics.
How we build
Designed for the people who have to explain the result.
GridMango serves utilities, DER aggregators, DERMS teams, consultants, developers, and QA operators responsible for determining whether a program is ready.
Evidence over assertion
A pass or fail is only useful when the inputs, assumptions, and calculation path can be inspected.
Controlled before connected
Teams should be able to reproduce behavior safely before testing against field systems or production programs.
Repeatable by default
Saved configurations, deterministic data, and exportable outputs make retesting part of the workflow—not a reconstruction exercise.
Work with GridMango
Bring us the workflow you need to validate.
We are working with industry teams to validate GridMango against real demand response and distributed-energy QA needs.
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