“Engineering-Grade Agentic AI for Electrical Design Calculations.”
ELEK is a suite of professional calculation programs for electrical power systems. It covers, among other things, low-voltage cables, high-voltage cables, grounding systems, cable pulling, protection coordination, and other electrical engineering calculations. ELEK AI enhances selected applications with natural language, agent-based support and automated data extraction.
ELEK AI
Engineering-Grade Agentic AI for Electrical Design Calculations
Location: Australia ⓘ Electrotechnik Pty Ltd / ELEK Software, Suite 603, 234–242 George Street, Sydney NSW 2000, Australia
ELEK AI Team Shared credit allowance for multiple employees.
Cable Pro Web Cloud-based license with monthly or annual renewal. Other AI Credit Top-ups One-time additional credit packages; active subscription required.
PC Software Licenses Licenses for Cable High Voltage, SafeGrid, Cable Pulling, Protection Coordination, and Line Rate.
SELEK Power Bundle Bundle of multiple programs for electrical networks, cables, grounding, and protection calculations.
Network License Shared use of selected PC packages in larger or distributed teams.
Updates and Support Optional maintenance, update, and support services for PC software after the first year of licensing.
Target audiences
ELEK is designed for electrical engineers, energy providers, network planners, cable manufacturers, consulting firms, EPC companies, construction companies, and industry organizations. ELEK AI is particularly relevant for professionals who want to evaluate extensive data sheets, create cable models, or quickly grasp complex calculation parameters.
Outstanding features
Its unique feature lies in the combination of generative or agent-based control with deterministic calculation algorithms. The AI can process technical information and prepare models, while the technical results continue to be generated by established ELEK calculation engines. In Cable HV, parameters can be extracted from PDF data sheets and used for cable models.
Key Areas of Application
The suite is used for cable sizing, thermal analysis of high-voltage cables, grounding and lightning protection systems, cable tension calculations, short-circuit calculations, arc flash assessments, and protection coordination. Above all, ELEK AI reduces the effort required for data entry, document analysis, and model creation.
Usage & Notes
Users select the ELEK product that best suits their specific task. AI functions are used within compatible calculation workflows and billed using credits. The provider emphasizes that the AI does not replace deterministic calculations. Results, assumptions, standard selection, and input data must still be reviewed by responsible electrical engineers.
| Target audience | Assessment |
|---|---|
| Private individuals | Probably not – designed for professional electrical engineering calculations. |
| Self-employed / Freelancers | Yes – suitable for electrical engineers, consultants, and specialist planners performing cable, grounding, or power grid calculations. |
| SMEs | Very well suited – useful for engineering firms, energy companies, planners, and electrical installation companies. |
| Large enterprises | Yes – team credits, network licenses, and several specialized engineering packages are available. |
| Electrical Engineers | Very well suited – core target group for cable sizing, current-carrying capacity, thermal models, and protection coordination. |
| Energy and infrastructure companies | Very well suited – suitable for high-voltage, grounding, overhead line, and cable systems. |
| Education / Research | To a limited extent – technically valuable, but primarily positioned as a professional calculation tool. |
| Organizations with critical data protection requirements | Limited – local PC software is easy to control; cloud products are hosted on AWS in Sydney. |
Fact-based AI assessment:
AI tool: Partially. AI share of the total suite: low to medium. Impact: currently medium, high in individual workflows.
ELEK is primarily a classic, standards-based engineering suite for cable, grounding, protection, and network calculations. ELEK AI is an additional agent-based user interface and automation layer. Currently, the AI is particularly relevant for Cable HV, for example for extracting technical data from PDF data sheets and for building cable models. AI for SafeGrid and low-voltage calculations is still listed as “Coming Soon” on the official website.
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ❓ |
| Private cloud / data center | ❓ |
| EU SaaS / Managed | ⚠️ |
| Hybrid | ❓ |
| DPA / AVV | ⚠️ |
| No training on customer data | ✅ |
| Open source / transparency path | ❓ |
On-premises / local hosting: unclear
No on-premises or local hosting option for ELEK AI was found on the website.
Private Cloud / Data Center: Indirect / Not Available
The security policy mentions AWS and IAM-based access, but does not document any dedicated private cloud, single-tenant, or EU/EEA data center options.
EU SaaS / Managed: Partially
There is a managed SaaS/cloud component, such as AI credits and cloud-based software offerings, but the website does not specify EU/EEA data residency or an EU server location.
Hybrid: unclear
The website describes that ELEK AI operates within the ELEK computing engines, but does not specify a robust hybrid operating model with a local or private customer component and an external service component.
TOS / DPA: Partial
The privacy policy states that ELEK requires DPAs from third-party providers. However, a publicly available TOS/DPA between ELEK and the customer was not found on the website.
No training: covered
The AI FAQ explicitly states that ELEK does not allow third-party AI providers to use customer data for model training, and that project inputs and calculation results remain within the ELEK software.
Open Source / Transparency Path: Indirect / Not Available
No open-source components, open models, self-hostable parts, or any other transparency/sovereignty pathway were documented on the website.
Data Processing
The website describes ELEK as a provider based in Sydney, Australia. The privacy policy applies globally, lists EU/UK/EEA data subject rights, and states that personal data may be transferred to third-party providers, including those outside the EEA, using SCCs or other legal mechanisms, according to the website. The Security Policy identifies AWS as the cloud service used and describes organizational and technical security measures. Regarding ELEK AI, it is stated that functions operate within the ELEK computing environment and that third-party AI providers are not permitted to use customer data for training purposes. Specific EU/EEA data residency, subprocessors, and data center locations are not specified on the website.
Conclusion
From an EU/EEA perspective, there are some positive data protection and security elements, but the hosting evidence crucial for a clear GDPR assessment is largely missing. In particular, there is a lack of reliable information regarding EU data residency, specific server locations, subprocessors, and a customer-side Data Processing Agreement (DPA). Therefore, the assessment for the best verifiable use case is currently “conditional” rather than “yes.”
Sources
| On-prem / local hosting | ❓ |
| Private cloud / data center | ❓ |
| EU SaaS / Managed | ⚠️ |
| Hybrid | ❓ |
| DPA / AVV | ⚠️ |
| No training on customer data | ✅ |
| Open source / transparency path | ❓ |
On-premises / local hosting: unclear
No on-premises or local hosting option for ELEK AI was found on the website.
Private Cloud / Data Center: Indirect / Not Available
The security policy mentions AWS and IAM-based access, but does not document any dedicated private cloud, single-tenant, or EU/EEA data center options.
EU SaaS / Managed: Partially
There is a managed SaaS/cloud component, such as AI credits and cloud-based software offerings, but the website does not specify EU/EEA data residency or an EU server location.
Hybrid: unclear
The website describes that ELEK AI operates within the ELEK computing engines, but does not specify a robust hybrid operating model with a local or private customer component and an external service component.
TOS / DPA: Partial
The privacy policy states that ELEK requires DPAs from third-party providers. However, a publicly available TOS/DPA between ELEK and the customer was not found on the website.
No training: covered
The AI FAQ explicitly states that ELEK does not allow third-party AI providers to use customer data for model training, and that project inputs and calculation results remain within the ELEK software.
Open Source / Transparency Path: Indirect / Not Available
No open-source components, open models, self-hostable parts, or any other transparency/sovereignty pathway were documented on the website.
Data Processing
The website describes ELEK as a provider based in Sydney, Australia. The privacy policy applies globally, lists EU/UK/EEA data subject rights, and states that personal data may be transferred to third-party providers, including those outside the EEA, using SCCs or other legal mechanisms, according to the website. The Security Policy identifies AWS as the cloud service used and describes organizational and technical security measures. Regarding ELEK AI, it is stated that functions operate within the ELEK computing environment and that third-party AI providers are not permitted to use customer data for training purposes. Specific EU/EEA data residency, subprocessors, and data center locations are not specified on the website.
Conclusion
From an EU/EEA perspective, there are some positive data protection and security elements, but the hosting evidence crucial for a clear GDPR assessment is largely missing. In particular, there is a lack of reliable information regarding EU data residency, specific server locations, subprocessors, and a customer-side Data Processing Agreement (DPA). Therefore, the assessment for the best verifiable use case is currently “conditional” rather than “yes.”
Sources
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • Specialized electrical calculation software | • AI is not yet available across the entire suite. |
| • Standards-based and deterministic calculation engines | • ELEK AI requires an active, compatible ELEK software package. |
| • AI serves as an assistant, not a replacement for engineering calculations | • Technically demanding and not intended for non-experts. |
| • Automatic extraction of complex cable parameters from documents | • The primary cloud data center is located in Sydney, Australia. |
| • Local data storage for native desktop products | • AI credits may introduce additional complexity in usage. |
| • Multiple specialized programs and package options | • Calculation results must still be reviewed by qualified engineers. |
| • Documented security measures such as encryption and AWS IAM |
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GDPR-compliant usage possible?
The website explicitly cites the GDPR as the applicable standard, describes the rights of data subjects in the EU, UK, and EEA, refers to international data transfers using SCCs, and states that third-party providers are bound by a DPA. However, for a robust assessment across the entire EU/EEA, the website lacks specific information regarding EU/EEA server locations, EU data residency, a DPA that can be concluded by the customer, a list of subprocessors, and self-hosting or on-premises options. Therefore, from an EU/EEA perspective, GDPR-compliant use appears possible only under certain conditions, but this is not clearly substantiated.
Positive
Positive aspects include the explicit reference to the EU GDPR, the mention of data subject rights for the EU, UK, and EEA, the commitment to international safeguards such as SCCs, the statement that third-party providers must sign DPAs, and the FAQ entry regarding ELEK AI, which specifies that third-party AI providers may not use customer data for model training.
Negative
On the negative side, the website does not specify a concrete server or data center location for ELEK AI, does not guarantee EU data residency, does not provide a list of subprocessors, no publicly accessible Data Processing Agreement (DPA) is available for customers, and no on-premises, self-hosting, or private cloud options are documented. Furthermore, according to the website, the provider is based in Australia, and the privacy policy explicitly states that recipients may also be located outside the EEA.
Server Location
Not specifically stated on the website. The Security Policy mentions AWS as the cloud service, but without specifying a region or the country where the data center is located. The privacy policy also states that third-party providers may be located outside of Australia and the EEA.