Engineering firms are drowning in PDFs, standards, and project history. Local AI is the practical way to turn that archive into a searchable brain — without exposing client data.
Engineering reality: The work isn’t only design. It’s compliance, tendering, reporting, and knowledge transfer. Local AI is strongest where the work is text-heavy and risk-sensitive.
Use RAG to pull from previous tenders, capability statements, project case studies, and client requirements — then generate a draft that matches your tone and structure.
Instead of searching folders for the right clause, engineers ask: “What do we need to satisfy for X?” The assistant responds with citations to your internal standards library.
Summarize meeting notes, site diaries, and close-out documentation into structured handover packs. This reduces rework and makes knowledge transferable.
LLM research in CAD is accelerating. In practice, most firms see immediate value in the surrounding workflow: requirements, change logs, design rationale, and documentation that connects back to drawings.
Want a private engineering knowledge assistant?
We build local AI that can search your standards, templates, and project archive with citations — and keep client data on-prem.