← Field Guide

Independent observatory · 2026

State of AI for Engineering.

A living map of the companies, roles, products, workflows and evidence patterns shaping AI for engineering — with deployment and governance treated as first-class signals.

Working thesis

The field is moving from AI demos to engineering systems.

Useful systems connect physical context, technical information, investigation, evidence and human authority. The observatory tracks that whole chain instead of counting model features alone.

01

Workflows

BIM/VDC, drawings, requirements, field verification, commissioning and operations.

02

Products

Agents, copilots, digital twins, model-integrated tools and review workspaces.

03

Deployment

Desktop, local-first, enterprise, API and human-in-the-loop operating patterns.

04

Evidence

Provenance, evals, contradictions, counterexamples, approvals and feedback.

Research protocol

What gets mapped.

EntityCompany · role · product · workflow
ContextDomain · system · artifact · user
CapabilityDiscover · interpret · investigate · verify
SignalPublic evidence · release · adoption · claim status

Initial edition in preparation. Public entries will include source, date, category and confidence so the map can be updated without losing provenance.

Contribute a signal

Have a public engineering-AI system, paper or deployment pattern worth mapping?