AI Platform for Marine Design

Drive efficiency, enhance QA/QC, and reduce design cycle times — empowering your team to deliver more, faster.

Cortonex brings AI directly into your ship design workflow, analyzing CAD models, 2D/3D drawings, BOMs, and regulatory documentation to automatically detect errors, ensure compliance, and streamline design verification — cutting up to 70% of time spent on manual checks, QA, and reviews.

Make Ship Design Self-Verifying and Audit-Ready

Connect your ShipConstructor, Rhino, AutoCAD, or PLM environment to Cortonex and instantly validate structural, stability, piping, and outfitting designs. Reduce manual checks, accelerate QC cycles, and ensure regulatory compliance across your vessel design lifecycle.

Problem

Ship design teams spend countless hours reconciling drawings, specifications, and class rule documents — manually checking data that should already align.

These inconsistencies:

  • Slow vessel design cycles
  • Inflate QA and compliance costs
  • Increase the risk of design errors and rework

Solution

Cortonex introduces an AI reasoning layer purpose-built for ship design and marine engineering environments.
It connects with your CAD, PLM, and documentation systems (e.g., ShipConstructor, AutoCAD, AVEVA) — continuously analyzing design and rule data, detecting contradictions, and validating compliance in real time.

Every designer and naval architect works with verified, trusted information — without the manual cross-checks.

The Impact

  • Reduce design verification time by up to 70%
  • Eliminate thousands of manual validation tasks per project
  • Accelerate design reviews and approvals
  • Deliver higher-quality, class-ready vessel designs faster

Phase 1 (Complete)

Foundational Reasoning Layer

Cortonex’s core reasoning and validation layer enables document ingestion, semantic retrieval, and auditable AI reasoning locally, without external data dependencies.
This phase focuses on proving explainable validation logic — ingesting rulebooks, project requirements, and historical design documentation to demonstrate traceable reasoning over unstructured data.

Key Capabilities:

  • Document ingestion and contextual indexing
  • Semantic search across class rules and design standards
  • AI reasoning engine generating auditable, explainable outputs
  • Local, private deployment with no external dependencies

Phase 2 (We are here)

Real-Time Validation

Cortonex extends its layer to structured design data from CAD and PLM systems.
This enables real-time rule-based validation within existing workflows — automatically cross-checking geometry, metadata, and BOM elements against regulatory and project-specific rules.

Key Capabilities:

  • Integration with ShipConstructor, AutoCAD, or Rhino through APIs or file watchers
  • Cross-verification of CAD/BOM parameters with design requirements
  • AI-assisted rule interpretation and violation detection
  • Traceable issue reports with rule and geometry linkage
  • Human-in-the-loop validation interface for engineers

Phase 3

Full-Spectrum Engine

The full Cortonex platform evolves into a complete AI validation and reasoning system for ship design and engineering teams.

It introduces autonomous AI agents capable of performing continuous, cross-system reasoning across CAD, PLM, ERP, and documentation layers — ensuring design correctness, compliance, and readiness for class approval.

Key Capabilities:

  • Deep CAD/PLM integration for multi-domain verification (structural, piping, electrical, hydrostatics)
  • Real-time reasoning agents analyzing design intent and compliance gaps
  • Automated generation of audit-ready compliance reports
  • Integration with class rule APIs (DNV, ABS, Lloyd’s) and internal specifications
  • Scalable, containerized deployment (Docker + Kubernetes) for enterprise adoption
  • Continuous learning loop from engineer feedback and design revisions

Use Cases

From Concept to Class Approval — Real-World Applications That Accelerate Vessel Design.

Design Validation

Automatically detect geometry, stability, piping, and outfitting inconsistencies across ShipConstructor, Rhino, and AutoCAD.

Rule & Compliance Checking

Cross-check design data, drawings, and documentation against class rules and project requirements in real time.

Quality & Change Control

Track revisions, flag data mismatches, and validate updates before release.

FAQs

Answers to the most common questions from naval architects, QA leads, and IT teams.

Ship design teams lose significant time and focus reconciling drawings, specifications, and documentation across multiple tools and file formats. Naval architects, designers, and QA engineers often spend hours manually verifying that structural, piping, stability, and outfitting data are consistent and compliant — instead of focusing on innovation and delivery.

Cortonex eliminates this bottleneck by introducing an AI-driven reasoning layer that continuously validates design data across ShipConstructor, Rhino, AutoCAD, and PLM systems. It detects inconsistencies, flags potential non-compliance, and links every insight back to its source — reducing verification cycles by up to 70% and allowing teams to focus on designing safer, more efficient vessels.

Please use the “Request a Demo” form on our website

Cortonex continuously synchronizes design data from ShipConstructor, Rhino, AutoCAD, PLM, and document repositories, then applies domain-tuned reasoning models to detect conflicts between drawings, models, and specifications. Every detected issue — from parameter mismatches to rule violations — is fully traceable to its original source, ensuring complete transparency and auditability across the vessel design lifecycle.

Cortonex is built for the stringent security and confidentiality requirements of the maritime and defense engineering sectors.

Our platform supports fully private deployments — on-premise, hybrid, or within your organization’s secure cloud infrastructure — ensuring that sensitive vessel design data, drawings, and documentation never leave your controlled environment.

All processing, embedding, and reasoning operations occur entirely within your infrastructure perimeter. We employ role-based access control (RBAC), encryption at rest and in transit (AES-256, TLS 1.3), and comprehensive audit logging to maintain full traceability and compliance with maritime and defense data standards.

This architecture guarantees complete ownership and protection of your design IP, regulatory documentation, and AI-generated insights.

Deploy an Intelligent Reasoning Layer in Your Ship Design Stack.

Cortonex connects seamlessly and starts validating your data logic instantly.
It learns from your systems — and scales with them.

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