Construction Ontology · /technology/construction-ontology

A construction-native ontology, not a generic data model

52+ entities across organizations, portfolio, physical assets, delivery, resources, and intelligence — the vocabulary the Construction Knowledge Graph is built on.

Preview

Organizations · 8

CompanyDepartmentOwnerDeveloperContractorSubcontractorSupplierVendor

Portfolio · 9

ProgramPortfolioProjectCapital PlanFundingGrantLoanBondInsurance

Physical Assets · 10

AssetFacilityCampusInfrastructureBuildingRoadBridgeUtilityAirportRail

Delivery · 10

ContractRFISubmittalChange OrderScheduleEstimateCostRevenuePermitInspection

Resources · 9

MaterialEquipmentVehicleWorkforceCrewAI AgentRobotDroneSensor

Intelligence · 6

Digital TwinRiskSignalKnowledgeDecisionLesson Learned

Knowledge Graph Explorer · /technology/knowledge-graph-explorer

Every project becomes a live graph of decisions, risks, and evidence

Illustrative sample graph. Click any node to trace relationships. Production graphs are tenant-isolated and evidence-linked.

Selected node

Project · Terminal C

Type · Project

Related entities

Owner · Port Authority
GC · Turner
RFI-4712
Submittal · Curtain Wall
Permit · Foundation
Risk · Schedule Slip
Signal · Steel +6.2%

Preview

Construction Memory Engine · /technology/construction-memory-engine

What the platform remembers — and why that compounds

Every project teaches the next. The memory engine turns transactional records into institutional memory, then into industry intelligence.

Pipeline

STAGE 1

Capture

RFIs · change orders · daily reports · inspections · closeout docs · IoT events

STAGE 2

Curate

Classify · deduplicate · link to entities · attach evidence · tag confidence

STAGE 3

Reuse

Recommendations pulled into new estimates, procurement, and schedules

STAGE 4

Recommend

AI agents propose actions backed by prior evidence and outcomes

STAGE 5

Institutional Memory

Company-wide knowledge outlasts personnel turnover

STAGE 6

Industry Intelligence

Aggregated benchmarks feed the Construction Intelligence Index

What gets remembered

DecisionsRFIsChange ordersRisksDelaysSafety incidentsProcurement choicesVendor performanceLessons learnedCloseout knowledgeAsset historyMaintenance history

Preview

Claim Governance · Internal & CMS-backed

Every claim carries source, status, confidence, and visibility

Governance schema applied across investor microsite, decks, one-pager, whitepapers, and admin CMS. No number ships without provenance.

Schema fields

Claim text

The public or investor-facing statement

Claim type

Market · Product · Roadmap · Financial · Technical

Capability status

Production · Pilot · Preview · Roadmap · Research · Long-Term Vision

Source

Report, agency, customer, or internal system

Source URL

Verifiable link when public

Source year

Anchor time-sensitivity of the claim

Owner

Responsible person for accuracy

Last reviewed

Date of most recent verification

Confidence

Verified · Internal · Pilot · Roadmap · Research · Illustrative

Visibility

Public · Private · Investor room

Notes

Context, caveats, review notes

Legal/review flag

Requires legal sign-off before external use

Sample entries

Claim	Status	Confidence	Visibility
Ezelogs runs on multi-tenant enterprise architecture	Production	Verified	Public
AI agents propose supplier alternatives with evidence	Preview	Internal	Public
Federated benchmarks across 50+ owners	Long-Term Vision	Illustrative	Public
ISO 19650-aligned document classifier	Roadmap	Roadmap	Public
Robotics resource orchestration	Research	Research	Investor room

Customer Validation · Framework

Placeholder-first: every validation slot is honest until verified

Case studies, pilot outcomes, before/after metrics, testimonials, adoption, and ROI ship into the same governed system used everywhere else on the site.

States

Placeholder

Slot reserved; no data attached yet

Pilot

Live customer engagement; results not yet public

Illustrative

Representative scenario; not actual customer data

Verified

Customer-approved, reviewed, and releasable

Validation slots

Case Study · Public-sector capital program

Placeholder

Primary metric · RFI cycle time

Pilot Outcome · Regional GC · procurement intelligence

Pilot

Primary metric · Supplier lead-time variance

Before/After · Portfolio dashboard adoption

Illustrative

Primary metric · Executive review prep time

Testimonial · Owner rep on evidence-backed AI

Placeholder

Primary metric · Trust in AI recommendations

Adoption Metric · Field daily-report completion

Placeholder

Primary metric · Superintendent adoption

ROI Example · Capital planning cycle

Illustrative

Primary metric · Time-to-approved plan