
Qlarity is cloud-based training and qualification management software for regulated organizations, built to support a systematic approach to training (SAT) and the full ADDIE lifecycle. Task analysis, curriculum, qualifications and compliance evidence in one place, with real-time reporting instead of a spreadsheet reconciliation every quarter.
managing training programs in regulated industries
organizations across energy, utilities, nuclear and government
phases of the work, and the application is arranged around them
standards it reports against: PER-005, SOCCED and NERC CEH
The records exist. They are just in a learning system, a shared drive, an inbox and a workbook that only one person understands. It works until that person is on leave, or the scope of a role changes, or a reviewer asks for the chain rather than the certificate.
The cost isn’t usually a finding. It’s the two weeks of staff capacity spent assembling evidence, and discovering a gap at the point where there’s no time left to close it.
Qlarity puts the whole record in one system so the answer is a report, not a reconstruction.
Qlarity is arranged the way the work runs, and the way the ADDIE model describes it: analyze, design, develop, implement, evaluate. Analysis first, then design and development, then implementation, then evaluation feeding back into the next cycle. Same method as VISION and the same program objects. Different shape, because it is one application rather than a set of tools. More on the method itself is on the SAT and ADDIE methodology page.
The validated task list each role is measured against, under version control, with a history of what changed and when.
Learning objectives derived from those tasks, then grouped and sequenced into the courses and lessons that teach them.
Who is qualified for what, when it was earned, when it expires, and what the requalification path is.
Test items tied to the objective they assess, on-the-job training records, and the evaluator behind each sign-off.
The traceable path from a task to the qualified operator, and the records a NERC submission is built from.
Real-time reporting on where qualification is missing, expiring, or concentrated in too few people.
Five links. They can start at any one of them and walk in either direction. Qlarity holds all five.
Validated with the people who do the work.
Derived from the task, not from the content.
Built to teach that objective.
Assessed, dated, and signed by a named evaluator.
Pulled as a report, including the SOCCED submission.
Your programs, your data and your workflows carry over. The interface, the reporting and the deployment are what changed.
Qlarity is the current generation of the Quality Training Database, which utilities have run for years. The functionality customers depended on is intact; the interface, the reporting and the deployment are modern.
What that means in practice is that it isn’t a general-purpose learning platform with a compliance module bolted on. The data model assumes a validated task list, derived objectives and individual qualification evidence, because that’s what a reviewer asks for.
It’s also the platform our own PER-005 practice works inside, which is the shortest explanation of why it behaves the way it does.
NERC reporting is a set of reports that ship with the product, not a custom report you commission from us.
The Employee Portal gives every person their own view: what they are qualified for, what expires when, and what they still owe.
That takes a standing queue off your training coordinator. It also means a supervisor who wants to know whether someone is current does not have to ask the one person with database access.
MADDIE is our supervised, domain-trained AI assistant. It runs today on cloud-hosted VISION, inside a fully isolated cloud instance so data and processing never leave it. Qlarity integration is on the roadmap, not shipped.
We would rather say that plainly than imply it’s available. If AI assistance is a requirement for you now, not later, that’s a reason to look at cloud-hosted VISION.
Task, objective, training, qualification, evidence. Qlarity holds all five, so the answer is a report rather than a reconstruction.












The Qlarity knowledge base documents every phase of the work, the NERC reporting set, the Employee Portal, data exchange, and the migration path from legacy QTD.
Analysis · Design and development · NERC · Employee Portal · Migrating from legacy QTD. Customer sign-in required.
Qlarity is a product that is designed specifically for System Operations and NERC compliance. I would, and do, recommend this to any of my colleagues in Systems Operations Training. Using this product allows all training departments to better keep track of their programs, their students, and their records.
What utilities ask before moving off QTD or a spreadsheet.
Yes. Qlarity is the current generation of the Quality Training Database. The functionality, your programs, your data and your workflows carry over; the interface, reporting and deployment are modernised. If you ran QTD, you already know what this does.
An LMS delivers and records course content. A training and qualification management system manages the program around it: the validated task list, the objectives derived from it, who is qualified for which tasks, and the evidence that proves it. Completion isn’t qualification, and in regulated work only one of those is defensible.
They cover the same lifecycle and hold the same program objects. Qlarity is one cloud application arranged around the phases of ADDIE, it carries the NERC reporting set, it has a self-service portal for employees, and it is the current generation of QTD, so if you run QTD today this is your upgrade path. VISION is modular and goes deeper where qualification chains are long, and it is where MADDIE runs today.
The short version: what do you run now, which regulator, how long is the chain, and do you need AI assistance this year rather than next.
Qlarity holds the records that SOCCED submissions are built from, and our training administration service submits and reconciles them on your behalf if you would rather not own that task. The utility remains responsible; the work can be delegated.
Not yet. MADDIE runs today on cloud-hosted VISION inside a fully isolated cloud instance. Qlarity integration is on the roadmap. If AI assistance is a requirement now, cloud-hosted VISION is the option that has it.
Yes, scoped as its own engagement. We audit the source system, map legacy structures, migrate in validated stages, and reconcile qualification records against where they came from. You see the step list before you sign it. Migrating from legacy QTD is a documented path rather than a bespoke project, which is the main reason it is predictable.
A working session, not a product tour. Tell us which standard you report against, when your next review lands, and how you track qualification today. We will show you exactly what changes.
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