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Connect
The desktop app connects to the Megger MIT515 and a digital multimeter over USB or serial - the instruments technicians already use in the field.
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Industrial IoT · AI-assisted diagnostics
The meter already had the data. The technician needed a system that could use it.
Electrical testing used to mean reading a meter, writing values down, calculating ratios, and typing the same information again into a client report. We built one desktop system that connects the instruments, captures the evidence, brings AI into the interpretation layer, and turns live testing into a traceable digital workflow.
Live instrument stream
Capture, calculate, and inspect as the test runs
2 instruments
Directly connected
Megger MIT515 + digital multimeter
4 test modes
In one workspace
PI, DAR, Step Voltage, and Ramp
One data path
From meter to report
No second round of manual re-entry
The build story
We removed every unnecessary hand-off.
The product is not a digital form. It is a working bridge between physical instruments, a technician's process, a structured test record, and the report their client receives.
/02
Capture
Live readings flow into the right test table. The operator can watch values settle and commit a measurement without re-typing it from a meter display.
/03
Interpret
The AI layer uses the structured record to explain readings, flag patterns worth reviewing, and give technicians a clearer next step without replacing engineering judgment.
/04
Report
The same time-stamped source data becomes a client-ready PDF or Excel report, creating a clean audit trail from instrument to delivery.
From hardware to a clean record
A tester should not have to become a data-entry clerk.
During an insulation test, the app records voltage, actual voltage, leakage current, and resistance over time. During winding tests, it streams the multimeter readout and lets the operator commit stable readings to the correct phase. PI, DAR, and DD diagnostics are calculated from the captured record.
Live plots make it easier to see a resistance trend while the test is happening.
Temperature and instrument configuration travel with the measurement.
The app supports a simulator mode for training, demos, and QA without live instruments.
The AI layer
Raw readings are useful. Clear next steps are better.
The core app creates the clean, structured evidence an AI system needs. On top of that foundation, the AI layer can translate test results into plain language, surface anomalies for engineer review, compare a reading against an asset's earlier history, and help draft observations for a report.
AI assists. Engineers decide.
The system can flag, explain, and prepare information. A qualified professional remains responsible for diagnosis, safety decisions, compliance, and final sign-off.
AI-ready test record
1
Instrument evidence
Time-stamped voltage, current, resistance, RLC, and test settings
2
Derived diagnostics
PI, DAR, DD, trends, and temperature context
3
Asset memory
Client, facility, motor nameplate, prior tests, and remarks
4
Human-readable output
Review prompts, explanation drafts, report observations, and escalation cues
The IoT opportunity
A report is the beginning of the asset history, not the end of the job.
The desktop application works offline in the field. When a client wants a connected deployment, completed records can synchronize to a secure central service. That creates a growing digital history across motors, sites, and customers - the foundation for fleet views, trend monitoring, condition-based maintenance, and AI-assisted review.
Fleet health
See test history and trends across assets.
Condition signals
Spot readings that deserve earlier review.
AI assistance
Make structured evidence easier to understand.
Trusted reports
Export from the same captured record.
Questions, answered
A practical industrial AI stack, explained simply.
What does the Electrical Testing Suite do?
It is a cross-platform desktop application for motor and electrical asset testing. It connects to field instruments, captures insulation and winding readings, calculates key diagnostic ratios, and generates report-ready records without repeated manual entry.
Why is a desktop app needed instead of a web form?
A browser form cannot reliably communicate with USB and serial test instruments in the same way. The Electron desktop shell provides direct hardware connectivity, offline-friendly operation, and a consistent interface on Windows, macOS, and Linux.
What does the AI layer add?
Once readings, test configuration, and motor information are structured, AI can turn raw numbers into a plain-language summary, point out readings that need human review, retrieve comparable history, and draft report observations. Engineers remain responsible for final diagnosis and sign-off.
How does this become an IoT solution?
The desktop app is the trusted field-data capture layer. When authorized, completed test records can synchronize to a secure central service, where fleets, sites, and historical readings can be monitored, compared, and used for condition-based maintenance workflows.
Bring your field data to life
Your instruments can do more than produce numbers.
We build industrial applications that connect field hardware, reliable records, AI-assisted review, and the systems teams use to act on what they find.