Energiency

Energiency follows a structured, multi-phase implementation approach tailored to each industrial client’s needs and digital maturity. The process generally includes:

1. Initial Assessment & Data Integration

• Objective: Understand the client’s energy landscape and identify potential savings.
• Activities:
  • Securely embed the client’s industrial data (e.g., production orders, maintenance logs, product references) into the Energiency platform.
  • Define energy baselines and KPIs.

• Duration: Typically 1–2 weeks, depending on data availability and system access.

2. Modeling & Analysis

• Objective: Build a custom energy consumption model using AI.
• Activities:
  • Energiency’s Energy Manager Coaches collaborate with client teams to identify key influencing factors.
  • Machine learning algorithms analyze how each factor affects energy use.
  • Develop a Digital Twin to simulate energy behavior.

• Duration: Around 2–4 weeks, depending on complexity and number of production variables.

3. Optimization & Deployment

• Objective: Use AI to test and implement energy-saving strategies.
• Activities:
  • Run simulations using the Digital Twin.
  • Validate recommendations and implement changes.
  • Configure dashboards, alerts, and reporting tools.

• Duration: Typically 2–3 weeks for initial deployment; ongoing optimization continues post-launch.

4. Training & Change Management

• Objective: Ensure adoption and continuous improvement.
• Activities:
  • Train Energy Managers, Operators, and Directors.
  • Align with ISO 50001 standards.
  • Establish feedback loops and performance reviews.

• Duration: 1–2 weeks for initial training; continuous support available.

5. Continuous Monitoring & Support

• Objective: Maintain performance and scale across sites.
• Activities:
  • Real-time monitoring of energy consumption.
  • Periodic updates and model recalibration.
  • Support from Energiency’s data scientists and coaches.

• Duration: Ongoing.

Total Estimated Timeline

• Initial implementation: ~6–10 weeks
• Full optimization and scaling: Varies by client, but typically within 3–6 months for multi-site rollouts.

Energiency software is highly customizable and designed to adapt to the specific needs of each industrial client. Here are the key data points:

• Tailored Configuration: The platform is configured based on your industry type, energy goals, and operational constraints (e.g., safety, quality, production cycles).

• Custom Dashboards: Users can build custom dashboards to monitor energy KPIs, CO₂ emissions, ISO 50001 compliance, and more.

• Flexible Modules:
  • Software only: For companies with in-house energy expertise.
  • Software + Coach: Adds expert guidance for deeper analysis.

  • Software + Coach + AI: Full AI integration with human support.

• Digital Twin Customization: The AI-powered Digital Twin is built using your own production data (e.g., product references, maintenance logs, production orders), making it unique to your operations.

• Collaborative Design: Energiency’s Energy Manager Coaches work directly with your teams to ensure the software reflects your real-world processes and constraints.

In short, the platform is not off-the-shelf—it’s bespoke and scalable, from single-site to multi-site industrial operations.

Energiency provides comprehensive onboarding and ongoing support tailored to industrial teams. Key data points include:

Training Programs

• Webinars & Tutorials: Energiency offers webinars such as:
  • How to configure your meters on the Energiency Application

  • How to create dashboards from Energiency templates

• Role-Based Learning: Training is customized for different roles:
  • Energy Managers
  • Industrial Managers
  • Digital Transformation Leads

• Success Stories as Learning Tools: Case studies from companies like SKF, DS Smith, and Cérèsia are used to illustrate best practices and real-world applications.

Support Services

• Energy Manager Coaches: Experts work directly with client teams to guide implementation, analysis, and optimization.
• Dedicated Data Scientists: Support clients in building and refining AI models tailored to their production data.
• Multi-Site Rollout Assistance: Energiency helps large industrial groups deploy the platform across multiple facilities.
• Resources Hub: Includes eBooks, infographics, and replayable webinars for continuous learning.

Energiency emphasizes secure data handling and privacy, especially given the sensitivity of industrial production data. Key security features include:

Data Protection Protocols

• Secure Data Embedding: Client data is securely integrated into the platform in real time, allowing safe monitoring and analysis.
• Cloud-Based Architecture: Energiency uses cloud infrastructure, which is regularly updated and maintained to ensure data safety.
• Custom Access Controls: Dashboards and alerts are configured per user role, ensuring that only authorized personnel access specific data.

• ISO 50001 Alignment: The platform supports compliance with ISO 50001, which includes data governance and energy management standards.

Client-Specific Security

• Tailored Deployments: For example, Cérèsia deployed Energiency across 137 facilities with a focus on flexibility, ergonomics, and data security.
• Real-Time Monitoring: Alerts are triggered when energy usage deviates from targets, helping prevent misuse or anomalies.

Energiency follows a continuous update model, meaning the software is constantly updated to reflect evolving user needs, industry standards, and technological improvements. Key points:

• Real-Time Configuration: The platform allows users to configure dashboards, alerts, and KPIs in real time, which implies frequent backend updates to support dynamic features.
• User-Centric Enhancements: Updates are designed to support various roles—Energy Managers, Production Operators, Maintenance Teams, and Directors—ensuring collaborative energy performance management.
• AI Model Refinement: Energiency’s Data Scientists regularly update the embedded AI models based on client-specific production data and operational changes.
• Digital Twin Maintenance: The AI-powered Digital Twin is recalibrated continuously to ensure accurate simulation and forecasting of energy consumption.
• No Downtime Mentioned: Updates appear to be managed in a way that does not disrupt operations, likely through cloud-based deployment.

• Client-Centric Data Use: The platform is built around client-owned industrial data, such as production orders, maintenance logs, and product references. This implies that clients retain ownership of their raw data.
• Secure Embedding: Data is securely embedded into the platform in real time, suggesting strong privacy and control measures.
• Custom Dashboards and Export Options: Clients can build dashboards and monitor KPIs autonomously, which likely includes the ability to export data and insights, supporting data portability.
• ISO 50001 Alignment: The platform supports ISO 50001 compliance, which includes principles of data governance, transparency, and traceability.

Energiency is designed to be highly scalable, both in terms of functionality and deployment across multiple industrial sites. Key data points:

• Modular Offering:
  • Software only: For companies with internal energy expertise.
  • Software + Coach: Adds expert guidance.
  • Software + Coach + AI: Full AI integration with human support.
  • These tiers allow companies to scale up or down based on their digital maturity and operational complexity.
• Multi-Site Support: Energiency supports collaborative energy management across multiple sites, making it suitable for both small facilities and large industrial groups.
• Custom Configuration: The platform is configured to match each client’s specific industry, energy goals, and operational constraints, allowing flexible scaling.
• Real-Time Adaptability: Dashboards, alerts, and KPIs can be adjusted in real time, enabling organizations to respond quickly to changing needs.
• EPSA Partnership: Through its acquisition by EPSA Group, Energiency now offers integrated financing and deployment support, helping clients scale efficiently across regions.

• Custom Contracts: Agreements are likely tailored to each client’s scope of work, deployment size, and selected service tier.
• Renewal: Given the SaaS nature of the platform, contracts are likely renewable annually or per project phase, with performance reviews guiding continuation.
• Cancellation: No specific cancellation terms are listed, but standard SaaS practices suggest:
  • Advance notice may be required.
  • Data export and transition support may be offered.
  • Early termination could involve fees depending on contract terms.

To confirm specifics, companies should request Energiency’s Master Service Agreement (MSA) or Terms of Use directly.

Energiency aligns with key industrial and energy management standards:

• ISO 50001 Compliance:
  • The platform supports organizations in implementing and maintaining Energy Management Systems (EMS) in line with ISO 50001.

  • Features include energy baselining, performance tracking, and continuous improvement workflows.

• Data Governance:
  • Energiency’s secure data embedding and real-time monitoring suggest adherence to data privacy and security best practices.
• Environmental Standards:
  • The platform helps clients reduce CO₂ emissions, aligning with sustainability and decarbonization goals.
• Industry 4.0 Readiness:
  • Energiency is positioned as a digital transformation tool for smart factories, supporting interoperability and advanced analytics.