戦略的パートナーシップ

VedArc は幅広い技術領域の中で活動。主要なグローバルプラットフォーム環境での業務・運用実績。

デジタルトランスフォーメーションにおいては単に使用する技術やツールの導入だけではなく、最終的にお客様の導入するシステムにより実現するビジネス成果が本質となります。VedArcではお客様が投資するソリューションが組織内における短期および長期ビジネス目標に整合していることを確信できる環境構築のサポートを行います。
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私たちは技術的な選択肢を限定せず、お客様のシステム運用におけるアーキテクチャと戦略的整合性のベストプラクティスを提供することを至上命題としています。

Contextual Awareness

Build a clearer picture of what is happening

Aperture combines information from across operational, enterprise and external sources to create relevant context around an event, asset, risk or decision.

This can include operational status, asset condition, weather, historical events, procedures, organisational knowledge and other information relevant to the situation.

Operator Copiloting

Turn context into better-informed action

Aperture helps operators and decision-makers explore explore what is happening, understand likely causes and consequences, compare options identify appropriate next actions.

Recommendations are designed to support human judgement, not replace it.

Operational Learning

Capture what happened and make it useful next time

Aperture helps operators and decision-makers explore what is happening, understand likely causes and consequences, compare options and identify appropriate next actions.

Recommendations are designed to support human judgement, not replace it.

Start with the operational problem that matters most

Aperture is designed to support high-value operational decisions where teams need to bring together data, context and expertise quickly.

The strongest starting point is usually a specific use case where better situational awareness, faster interpretation or more consistent decision support can create measurable value.

Incident and Outage Response

Understand what is happening faster when conditions change

Aperture can bring together operational status, event information, asset data, weather, procedures and historical context to help teams understand an incident, assess likely impact and coordinate the response.

Potential Outcomes:

Faster situational understanding

Reduced time spent gathering information

More consistent response decisions

Better coordination across teams

Restoration Prioritisation

Support faster, better-informed restoration decisions

Aperture can help teams compare operational priorities, constraints, customer impact and available options when restoring service after an outage or disruption.

Potential Outcomes:

Faster restoration planning

Improved prioritisation

Reduced operational impact

Better visibility of dependencies and constraints

Asset Risk Intelligence

Put asset condition into operational context

Aperture can combine asset health, maintenance history, environmental conditions, operational loading and other relevant information to help teams identify where risk is changing and where intervention may create the greatest value.

Potential Outcomes:

Improved asset prioritisation

Better targeting of maintenance

Reduced reactive work

Better-informed capital and operational decisions

Operator Decision Support

Give operators the context they need at the point of decision

Aperture can help operators explore what is happening, understand contributing factors, compare options and access relevant procedures or organisational knowledge without having to search across multiple systems.

Potential Outcomes:

Reduced cognitive load

Faster access to relevant information

Greater consistency in decision-making

Improved operator confidence

Weather and External Event Response

Connect external conditions to operational impact

Aperture can combine weather, environmental events and external information with operational and asset data to help teams understand emerging risks and prepare appropriate responses.

Potential Outcomes:

Earlier awareness of operational risk

Improved preparedness

Better prioritisation of resources

Reduced impact from disruptive events

Scenario Analysis and Preparedness

Explore what could happen before it does

Aperture can support scenario analysis by bringing together operational context, relevant data and organisational knowledge to help teams assess possible consequences and response options.

Potential Outcomes:

Better preparedness

More effective contingency planning

Improved understanding of dependencies

Stronger operational resilience

Start with a real operational problem. Prove the value before scaling.

Aperture is designed to be introduced through a focused Proof of Value built around a specific customer use case.

Rather than beginning with a large technology programme, the PoV provides a practical way to demonstrate how Aperture can work with the customer’s data, systems and operating environment. A typical proof of value will:

Define a specific operational problem

Identify the data and context required

Establish measurable success criteria

Configure Aperture around the selected use case

Work with real or representative customer data

Demonstrate operational insight and decision support

Assess data and integration readiness

Evaluate the value created

Define the path to production deployment

Aperture sits above and alongside existing operational and enterprise systems rather than replacing them.

It can use information from sources such as control systems, asset platforms, GIS, maintenance systems, enterprise applications, data platforms, weather services, sensors, procedures and external event feeds.

Aperture can operate with existing enterprise and operational technology environments and can take advantage of GE Vernova GridOS Data Fabric and Connect where these form part of the customer environment.