PEKS
Technology and methodology
Explore PEKS technical approaches to engineering evidence processing, knowledge structuring, relationship modeling, workflow orchestration, and AI-assisted engineering applications.
Technical principles
PEKS technical exploration centers on engineering evidence, structured knowledge, and reviewable workflows. Method comes before tooling: define the engineering problem and knowledge relationships first, then decide where AI participates.
Engineering knowledge modeling
Organize engineering entities, evidence, risk relationships, controls, and verification activities into reusable, traceable structures instead of leaving information in isolated documents.
Evidence processing and traceability
Record sources, data types, processing steps, and outputs in a structured way so that engineering judgments can be traced back to supporting evidence.
AI-assisted workflows
AI supports information extraction, relationship organization, and document generation. AI output is not a final engineering conclusion and requires engineering review and approval.
Human review and accountability
Risk acceptability, verification adequacy, and formal document approval remain the responsibility of qualified personnel. PEKS does not claim that AI independently replaces engineering or regulatory judgment.
Public disclosure boundary
Public pages explain engineering problems, workflows, and observable outputs. Source code, detailed ontology definitions, internal reasoning rules, and sensitive configuration are not disclosed.
Discuss an engineering problem
To discuss medical device R&D, risk management, engineering documentation, or AI-assisted workflows, contact PEKS by email.