Inspect
Select an asset and attach inspection imagery.
INTELLIGENCE FOR THE PHYSICAL GRID
Every inspection.
A clearer picture
of your grid.
Turn drone imagery, thermal inspections, and asset history into evidence your team can act on.
AI-assisted inspection and asset intelligence for electric utilities, grid operators, and engineering teams.
MVP workspace · Evidence-led inspection review
THE NETWORK IS PHYSICAL.
THE INTELLIGENCE SHOULD BE CONNECTED.
THE INTELLIGENCE SHOULD BE CONNECTED.
01 / GRID INFRASTRUCTURE INTELLIGENCEINSPECT → UNDERSTAND → COMPARE → PRIORITIZE → MAINTAIN
FROM FRAGMENTED RECORDS TO CONNECTED EVIDENCE
Your grid has a history.
Put it to work.
An inspection photo tells you what an asset looks like today. Its history tells you what changed.
Premvera connects visual observations, thermal evidence, maintenance records, and engineering documents around each physical asset. Review potential defects in context, compare inspections, and build a traceable maintenance priority.
DRONE IMAGERYTHERMAL INSPECTIONSASSET RECORDSMAINTENANCE HISTORY
THE MVP IN MOTION
From inspection
to informed action.
One transformer. A complete inspection workflow.
Watch an original image upload, real AI analysis, a scoped demonstration review, evidence-linked Copilot, and report generation.
INTERACTIVE WORKFLOW PREVIEWSee the evidence.
See the evidence.
Review the finding.
Set the priority.
74-second edited walkthrough of the local application with real AI. Demo review only; asset identity, capture date and operating status are unverified.
ONE INSPECTION, FIVE CONNECTED STEPS
Understand
Review proposed observations alongside the evidence.
Compare
Examine previous and current inspections together.
Prioritize
Confirm findings and assign a review priority.
Maintain
Export a summary for engineering and maintenance review.
01 / VISUAL INSPECTION INTELLIGENCE
Catch the change.
Keep the evidence.
Potential insulator damage becomes meaningful when your team can locate it, inspect the image, and compare it with an earlier inspection.
Premvera presents observations for review, with the original evidence attached. A reviewer decides whether to confirm or dismiss the finding.
TOWER T-142 ILLUSTRATIVE FINDING
JANUARY / PREVIOUS
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JULY / CURRENT
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PROPOSED · HIGH
Potential insulator damage
Visible difference in Insulator String B. Engineering review recommended.
02 / THERMAL INTELLIGENCE
A different view.
A stronger context.
Connect thermal observations to an asset’s inspection history. Compare unusual patterns and document the next review action.
Rendered thermal images support visual observations. Calibrated temperature measurements require supported radiometric files and capture metadata.
TRANSFORMER TR-018 THERMAL REVIEW
PREVIOUS
CURRENT
REVIEW REQUIRED
Elevated thermal signature
Illustrative pattern near the high-voltage connection. No calibrated temperature inferred.
ASSET INTELLIGENCE / NETWORK CONTEXT
One asset in detail.
Your network in perspective.
Follow inspection history, unresolved findings, and maintenance activity in one asset record. Then move back to the portfolio to decide what needs attention next.
Condition scores are explainable summaries of reviewed findings. They help organize review; they do not represent validated failure probabilities.
SAMPLE NETWORK / 6 ASSETS
Attention, with a reason.
TR-018 · Thermal observation
T-142 · Visual inspection pending
T-086 · No open reviewed findings
PREMVERA COPILOT
Ask your grid.
Open the evidence.
Find assets needing attention, summarize unresolved observations, and retrieve inspection history through a focused assistant.
Copilot retrieves evidence from the selected organization’s saved assets, inspections, maintenance history, and indexed document text. Live AI responses require a configured provider connection.
Which assets need attention?
◈ Premvera Copilot
SAMPLE RESPONSE · SOURCE-LINKED RECORDSTransformer TR-018 has a confirmed thermal observation. Tower T-142 has a proposed visual observation awaiting review.
↗ TR-018 / Thermal inspection
↗ T-142 / Visual inspection
TECHNOLOGY WITH A CLEAR BOUNDARY
AI proposes.
People decide.
Evidence first
Preserve source imagery. Connect every finding to its inspection and component.
Review by design
Separate proposed observations from confirmed findings. Capture reviewer decisions.
Cloud-independent architecture
Keep asset and inspection rules separate from storage, identity, and AI providers. AWS is an initial deployment option.
Traceable evolution
Plan for model versions, scoring rubrics, access controls, and audit history as the MVP becomes operational.
ABOUT PREMVERA
Based in Nigeria
A clearer picture.
A better next step.
Utility engineers and inspection teams already collect photographs, thermal scans, and maintenance records. The difficult part is bringing them together when a decision needs to be made.
Premvera is being built to connect that evidence around each asset, so teams can see what was observed, what has changed, and what needs review. We’re starting with transmission towers and substation transformers, keeping engineers responsible for the decisions that follow.
OUR LEADERSHIP
The people building Premvera.
Chief Executive Officer
Orjika Victory
Orjika Victory leads Premvera with a clear focus: helping utility engineers and inspection teams get more value from the inspections they already carry out. A photograph may capture a problem, but deciding what it means takes context—earlier images, maintenance records, and someone qualified to review it. His role is to keep Premvera focused on that complete picture, from the first observation to the next maintenance decision.
Chief Operating Officer
Winifred Chidinma
Winifred Chidinma’s focus is what happens after an inspection. Who needs to review the images? Which findings are still open? Does the maintenance team have enough information to follow up? As COO, she brings those everyday questions into Premvera’s development, helping shape a workflow that people can follow and trust. Her role connects the product to the practical work of keeping inspections organised and decisions moving.
Chief Technology Officer
Mbah Sandra
Mbah Sandra leads the technology behind Premvera. Her focus is bringing inspection images, asset history, and engineering documents together so teams can understand what has changed and examine the evidence themselves. That also means setting clear boundaries for AI: an observation needs a source, a comparison needs context, and an engineering decision belongs to the person reviewing it. She keeps those principles at the centre of the platform’s technical direction.
PRICING
Start with inspections.
Grow with your network.
Choose the scope that fits your team, from a focused inspection programme to a larger asset portfolio.
FOR ENGINEERING & INSPECTION TEAMS
Inspect
$59 USD / month
Bring asset records, inspection images, and reviewer decisions into one workspace.
- Asset registry and inspection records
- Visual and thermal image uploads
- AI-assisted observation review
- Previous and current inspection comparison
- Inspection summary reports
FOR UTILITIES & GRID OPERATORS
Operations
$129 USD / month
Connect inspection evidence across your portfolio and keep follow-up priorities visible.
- Everything in Inspect
- Portfolio overview and grid map
- Reviewed condition scores and open findings
- Maintenance records and review history
- Evidence-linked Copilot and document retrieval
FOR LARGE INFRASTRUCTURE PORTFOLIOS
Enterprise
From $299 USD / month
Scope a deployment around your asset volumes, inspection programme, and organisational requirements.
- Operations capabilities at an agreed scale
- Asset, user, and processing allowances agreed upfront
- Data retention requirements scoped together
- Deployment and integration assessment
- Onboarding and support scope agreed in writing
Monthly prices in USD, per organisation. Asset, user, storage and AI-processing allowances are agreed before activation. Enterprise pricing varies with scope.
PRACTICAL QUESTIONS
Before you explore.
Is this a production inspection system?
The MVP saves your actual assets, uploads, inspections, and reviewer decisions. AI findings require professional review. The recorded walkthrough uses the local application with real AI and a demonstration record. The platform has not been validated for operational grid decisions.
Does Premvera predict when an asset will fail?
No. The initial scope is inspection review and maintenance prioritization. Validated risk models require suitable longitudinal data and evaluation.
Does the platform depend on AWS?
The architecture separates product services from infrastructure adapters. AWS may host the initial operational MVP; other providers can implement the same interfaces.
What does the condition score mean?
The current review rubric starts at 100 and subtracts 6 for each open confirmed high-priority finding, 3 for medium, and 1 for low. Proposed, dismissed, and resolved findings do not reduce it. An asset without a reviewed finding is unscored. This is an illustrative review aid, not a failure probability.
INSPECT. UNDERSTAND. COMPARE. PRIORITIZE. MAINTAIN.