Only publish stories with customer permission
Company and customer reviewers should approve factual claims and identifiable information before publication.
ELP GPT / BUSINESS
Customer outcomes, responsibly documented
ELP GPT intends to document how proprietary AI systems solve practical problems with measurable evidence and customer permission.
OUR APPROACH
Customer stories: principles in practice
Document the baseline and evaluation window
ELP GPT connects proprietary engineering to responsible, task-specific customer outcomes.
Disclose limitations and distinguish prototypes from production
ELP GPT connects proprietary engineering to responsible, task-specific customer outcomes.
THE ELP GPT PERSPECTIVE
Customer stories — engineering and execution
No client relationship or specific financial outcome is implied by illustrative use cases.
A credible customer story states the problem, deployment method, baseline, measured outcome, review effort and time period, alongside limitations.
Customer evidence policy
Case studies require written permission, a measurable starting point and an agreed assessment method. Until a story meets this standard, we will describe opportunities and example workflows rather than attribute results to real clients.
Technology, ownership & transparency
ELP GPT is developed by ELP Ventures. ELP-owned software and model research are distinct from independently owned inference services, third-party libraries and intellectual property. Specifications, availability and comparative performance depend on the deployed configuration.