- Manually assembled test data
- Calculations spread across files
- Integration failures found late
- Evidence recreated for every review
Automated validation for grid-connected energy programs
Test grid-connectedsystems before they reachproduction.
GridMango automates the repetitive QA work behind telemetry checks, baseline and event performance, simulated DER and front-of-meter assets, and protocol testing—so energy teams can find problems earlier and preserve the evidence behind every result.
UtilitiesDER aggregatorsDERMS vendorsAsset owners & OEMs
Event coverage100%
Baseline coverage100%
Evidence outputs3
Baseline analysis See the event window in context, verify interval quality, and preserve the evidence behind the result.
The validation gap
Critical programs are still tested with one-off spreadsheets, scripts, and manual coordination.
Energy program and asset teams need to prove that telemetry, calculations, simulated resources, controls, and external integrations behave correctly together. The work is specialized, repetitive, and difficult to reproduce when every project starts from scratch.
GridMango turns those recurring tasks into visible, repeatable validation workflows.
- Reusable simulated data and assets
- Transparent, repeatable calculations
- Controlled end-to-end test scenarios
- Exportable findings and evidence
GridMango Workflows
Automate a complete validation process.
Start from an uploaded dataset or a scheduled run, then chain GridMango tools into a repeatable M&V, end-to-end testing, or protocol-validation workflow.
Workflow builderProgram validation
Program M&VCalculate and document event performance
Data upload
TriggerUpload interval data
→
Quality checkValidate telemetry
→
CalculateBaseline + performance
→
OutputEvidence package
End-to-end asset testExercise a complete grid-connected asset scenario
Scheduled run
TriggerStart test run
→
PrepareProvision simulated assets
→
ExerciseDispatch scenario
→
VerifyTelemetry + device state
Protocol validationVerify the exchange between test endpoints
Scheduled run
TriggerStart protocol run
→
ConnectRegister test endpoint
→
ExerciseSend event or command
→
VerifyAcknowledgements + reports
Supporting validation infrastructure
Prepare the data and test conditions around the core workflow.
Telemetry QA
Inspect interval alignment, convert timestamps, repair short gaps, and preserve correction evidence.
Synthetic data
Generate deterministic meter, DER, and front-of-meter telemetry with separate import, export, and net channels.
Green Button import
Interpret ReadingType units, direction, multipliers, and quality before downstream analysis.
Evidence exports
Keep calculations, selected inputs, findings, and run context available for technical review.
How it works
From test condition to reviewable outcome.
GridMango keeps configuration, execution, and evidence connected so a test can be understood and repeated.- 01
Choose the workflow
Start with a baseline, telemetry, simulation, or integration objective.
- 02
Configure the conditions
Load source data and define the methods, assets, targets, or expected behavior.
- 03
Run and inspect
Execute the scenario and review calculation quality, state changes, timelines, and failures.
- 04
Export the evidence
Retain the normalized data, results, and audit detail needed for the next decision.
Designed for technical scrutiny
Transparent assumptions. Controlled testing. Reviewable evidence.
Visible configuration
Methods and test conditions remain available for review instead of disappearing behind a score.
Customer data ownership
Uploaded data and generated outputs remain the customer’s data.
Security as product work
Access controls, operational safeguards, and enterprise security readiness are part of the platform roadmap.
Have a validation workflow in mind?