Review drawings, revisions, specs,
and trade coordination before the field.
Clash Nexus AI turns construction documents into an evidence-first review workflow. Upload full drawing sets, compare revisions, review trade coordination, flag missing information, and prepare RFI-ready findings with visual proof.

found
Insufficient clearance between duct and structural beam.

Full AI Scan
Review full drawing sets and surface evidence-backed findings across design and trade disciplines.
NexCompare
Compare revisions across drawing versions and understand what changed, where it changed, and why it matters.
NexDocs
Turn construction documents into a searchable, structured evidence layer for faster review and follow-up.
NexAction
Move from findings to action with report-ready issues, team review workflows, and RFI-ready output.
One construction intelligence layer
Drawings, revisions, RFIs, specs, and review workflows in one place.
Clash Nexus AI is more than a clash scan. It is an evidence-first construction review platform built around NexScan, NexCompare, NexDocs, and NexAction — helping teams review documents, coordinate trades, compare revisions, and move issues into action faster.

Multi-Discipline Clash Detection
Reads architectural, structural, and MEP sheets together and pinpoints where systems physically collide.

Cross-Sheet Consistency
Catches contradictions, wrong references, and mismatched dimensions across the entire drawing set.

Missing Detail & Spec Checks
Flags incomplete notes, absent details, and specification gaps before they reach the field.

Instant RFI Drafting
Turns every finding into a clear explanation and ready-to-send RFI wording in one click.

Evidence & Markups
Pinpoints the issue location with markups, affected sheets, and evidence context you can review.

Shareable Reports
Export clean, professional reports your team, clients, and stakeholders can act on immediately.
Discipline coverage
Built for 13 construction disciplines
Clash Nexus AI reviews full drawing sets across design and trade scopes. Architectural and structural drawings form the base set, while every uploaded discipline is checked for missing information, coordination risk, revision impact, and cross-trade conflicts.
Cross-trade coordination
Cross-trade coordination before field conflict.
Clash Nexus AI reviews how disciplines interact, not just whether one sheet has an issue. It checks high-risk trade relationships, system pathways, structural interfaces, clearance conditions, and missing coordination details that often turn into RFIs, delays, and rework.
Instead of forcing teams to manually compare sheet after sheet, Clash Nexus AI helps identify the coordination pressure points where trades compete for space, support, access, clearance, or scope. Every finding is tied back to drawing evidence so teams can review faster and act with confidence.
Mechanical duct vs Plumbing pipe
Finds routing and clearance conflicts where ductwork and plumbing occupy the same ceiling, shaft, corridor, or equipment zone.
Mechanical duct vs Electrical tray / conduit
Checks duct routes against cable trays, conduit banks, electrical rooms, and congested overhead pathways.
Plumbing pipe vs Fire Protection sprinkler main
Reviews pipe routes, sprinkler mains, branch lines, sleeves, and ceiling-space coordination.
Electrical tray vs Fire Alarm / Telecom / Security pathway
Checks low-voltage and life-safety pathways against electrical tray routes, device locations, and system interfaces.
Elevator shaft, pit, and machine room vs MEP / Structural
Reviews elevator openings, pits, machine-room interfaces, supports, penetrations, and adjacent MEP systems.
Pair coverage
Evidence before action
Findings your team can actually review.
Findings are gated by evidence and status. High-risk new checks start as needs-review when the system has useful signals but not enough proof to auto-promote.

Find issues before they become field problems.
Review full drawing sets, coordinate trades, compare revisions, and prepare evidence-backed findings in one construction intelligence layer.
