Engineering software for protection and transformer reliability

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GridAPM platform

One local workbench for transformer decisions

GridAPM Ai runs on an engineer workstation inside your perimeter. It reads approved transformer evidence, drafts reasoning with bounded AI agents, and routes every recommendation through a named engineer's sign-off.

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AgenticGrid Pro Transformer APM

The other GridAPM product ProtectionAI Relay testing

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Modules

Seven modules, one chain of evidence

The workbench is organized around the work transformer teams already do: collect approved evidence, weigh context, review risk, document rationale, and decide the next maintenance or lifecycle action.

Agentic workflow

Bounded AI agents organize evidence, correlate signals, draft rationale, and prepare review packages — every run ends at the engineer gate, never around it.

  1. Intake
  2. Correlate & quality gate
  3. Agent reasoning
  4. Engineer sign-off
  5. Work package & report
See it in the product tour

Local-first workbench

The core intake-to-report session runs locally on one workstation. OpenAI-powered assistance requires an approved outbound connection; engineer review and sign-off remain inside the workbench.

GridAPM Workbench — local deployment Synthetic demo data
TX-47 230/69 kV · 60 MVA · 1998 · ONAF H2 trend 148 ppm

Source files · Quality gate

  • DGA Passed TX-47_DGA_2026-06-30.csv Oil lab LIMS export
  • PRPD Passed TX-47_PRPD_HVB_2026-06-12.pdx PD monitor export
  • SFRA Passed TX-47_SFRA_2026-05-18.sfra vs 2019 baseline
  • Thermal Corrected — clock drift +42 min TX-47_IR_2026-06-28.rjpg IR camera

Import queue

  • TX-47_nameplate_scan.pdf Parsed
  • TX-47_loadprofile_2026-Q2.csv Normalizing…
  • TX-47_oil-quality_2026-06-30.csv Queued
  • Local-first
  • No OT connection
  • Audit log on
Product screen: evidence intake for transformer TX-47 — DGA, PRPD, SFRA and thermal source files passing the quality gate before analysis.

Evidence model

DGA, oil quality, PRPD, SFRA, thermal, inspection, maintenance, and work-order context unify into one transformer record with full provenance.

Dissolved gas trend Illustrative sample data — not a live asset.
  • H2
  • CH4
  • C2H4
  • C2H2
Dissolved gas trend Line chart of dissolved gas concentrations in ppm over 13 oil samples. H2 ends at 148 ppm, CH4 ends at 74 ppm, C2H4 ends at 58 ppm, C2H2 ends at 11 ppm. H2 watch level: 80 ppm. Gassing event marked at sample 9. H2 watch level Gassing event

Health index

Condition scores expose their drivers, trend movement, uncertainty, and weighting assumptions — no black-box numbers.

Transformer health index Illustrative sample data — not a live asset.
Transformer health index Semicircular health-index gauge reading 82 of 100, in the Good band. Bands: Poor 0–40, Fair 40–70, Good 70–100.
82 / 100
Good
Poor 0–40 Fair 40–70 Good 70–100

Human review

Engineers approve, edit, reject, or escalate every draft, with traceable comments and an accountable decision history.

Human gate

Lifecycle context

Asset health connects to loading, aging, maintenance history, environmental exposure, and useful-life planning.

Reporting & handoff

Approved decisions leave the boundary as evidence packs, work packages, and CMMS handoffs — each one traceable back to its source records.

Evidence sources

  • DGA lab files
  • Inspection records
  • CMMS / EAM

Local-first workbench

Controlled OpenAI egress

Reviewed outputs

  • Work packages
  • Evidence packs
  • CMMS handoff

The workflow

From raw evidence to a signed-off work package

One pipeline, five stages. AI drafts; a named engineer decides.

  1. IntakeApproved evidence streams — DGA, partial discharge, SFRA, thermal, inspection records — are read from your systems.
  2. Correlate & quality gateSignals are aligned per asset and screened for gaps, unit errors, and stale data before any reasoning starts.
  3. Agent reasoningAgents draft a condition assessment, citing each piece of evidence and flagging contradictions instead of hiding them.
  4. EngineerEngineer sign-offA qualified engineer approves, edits, rejects, or escalates the draft. Nothing ships without a named reviewer.
  5. Work package & reportApproved decisions become maintenance work packages and audit-ready reports for your CMMS and stakeholders.
An evidence token travels the pipeline and pauses at stage 4 until an engineer signs off.

Deployment

Local operations, controlled AI egress

GridAPM deploys as a local-first application inside your OT boundary. Evidence flows in; only engineer-approved outputs flow out.

OT boundary

Site network

Workstation

GridAPM

Controlled OpenAI connection

Evidence in

Operational records and deterministic processing stay local. Requested OpenAI assistance sends only the approved bounded context needed for that operation through the controlled outbound connection.
Runs on a workstation
The workbench installs on a standard engineer workstation with no new application server. OpenAI access is configured through the customer's approved project.
Minimum approved AI context
Operational records and deterministic analysis stay local. A requested AI feature sends only the context approved for that operation to OpenAI.
Resilient local core
Intake, deterministic analysis, review, and sign-off remain available without the AI connection. OpenAI explanations and semantic retrieval require network access.
Approved evidence only
The workbench reads the files your team explicitly provides — it never crawls live OT systems.

Standards context

Works inside your standards context

GridAPM works within the context of these documents. Context is not certification.

Platform FAQ

Questions procurement teams ask first

What makes GridAPM different from a generic dashboard?

GridAPM is built around power transformer evidence and human-reviewed APM decisions. Every module — intake, correlation, agent reasoning, sign-off, reporting — is specific to transformer diagnostics, not generic asset cards or unsupported AI chat.

Do transformer engineers stay in control?

Yes. GridAPM handles scoped analysis and reporting tasks; engineers hold final authority. Interpretation, approval, and operational decisions always carry a named reviewer's sign-off.

Can the platform start with a limited pilot?

Yes. A controlled pilot can start with approved DGA, PRPD, SFRA, inspection, maintenance, or loading records before any broader integration.

Put your fleet's evidence in the workbench

A controlled pilot starts with the records you already have — and ends with an evidence pack your reviewers can inspect.

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