White Book
Overview of how AI standardizes EPC
Vision
AI-native EPC assistant that compresses loops from design to commissioning. Goal: raise engineer throughput and confidence with standardized checks and traces.
Why Now
Reliable AI + deterministic automation finally meet infra-grade quality. Datacenter power and renewables are scaling fast while skilled labor is scarce.
Market Gap
EPC work is split across siloed tools and buried PDFs. Signals, constraints, and context often get lost between specialists.
AI-Native EPC Stack
Document intelligence -> constraint/rule engine -> schedule synthesis -> vendor matching -> site telemetry & digital twin -> audit trails.
Go-to-Market
Start with high-stakes pilots (datacenter power, PV+BESS), share learnings openly. Build narrowly, generalize through reusable playbooks.
Personal Workspace
A governed workspace for peers: shared templates, one source of truth, full traceability. Private by default; standards-friendly.
Signals
Early pilot work and growing collaborator network. Clean artifacts, measurable checks, and repeatable methods.
Say Hi
Curious or skeptical? I'd love your feedback. It helps me build a sharper, more useful assistant.