# atlantiq AI: AI-Native Design Intelligence for Shipbuilding Deliver on time and on budget with engineering-aware AI for shipbuilding design, requirements and review. Humans lead, verify and approve every decision. Source: [Homepage](https://www.atlantiq.ai/). This text represents the capabilities and use cases available through the homepage tabs. Engineers lead, verify and approve the work. ## Secure & Private Deployed where your data already lives Our AI runs inside your own tenant, on sovereign cloud or on premises. Role-based permissions govern sensitive design information, and source records, audit trails and approvals keep every result traceable. ## Open Integration Engineering intelligence inside your tools Our APIs connect to the CAD, PDM, PLM and analysis tools you already run. Design data is read, records enriched and tasks automated inside them, with outputs in each system’s native formats and approval process. ## Collaboration A shared understanding of the vessel The Shipbuilding Ontology links every space, system and piece of equipment to its drawings, models, requirements and review history, so each discipline can follow a change or finding across them and work from the right revision. ## Engineering-aware AI AI that understands shipbuilding Our AI interprets the spatial and physical meaning of vessel designs across 2D and 3D CAD, images, text and other engineering data. - Drawing & Document Understanding - Vessel Requirements & Rules - Spatial & Physical Understanding - Drawing & Model Generation - Checking & Verification - Agent Orchestration ## Agentic Workflows From engineering intent to reviewed work Direct the task, and our AI agents prepare the work. They draw the relevant requirements and revisions from the Shipbuilding Ontology, develop options, run checks and propose changes with evidence, while designers and reviewers decide what to accept or revise. ## Drafting & Modelling ### Concept Design Explore more design options and reach a viable concept sooner. Develop initial arrangements and spatial models from the design brief, reference drawings and vessel requirements. Compare space allocation, system relationships and design constraints before selecting a concept to develop. ### Detail Design Accelerate model development and free up design capacity. Develop equipment, supports and system detail in the context of surrounding structure, spaces and interfaces. Review proposed geometry against access needs, design intent and project standards before incorporating it into the model. ### Production Design Deliver production packages sooner, with less manual drafting. Prepare production drawings and associated schedules from approved model information and yard conventions. Keep dimensions, component references and revisions coordinated for production engineering review. ## Review & QA/QC ### 2D Design Review Drawings reviewed against requirements, standards and the rest of the set. Interpret geometry, symbols and annotations alongside specifications and related sheets to check the design in context. Review inconsistencies and requirement findings at the affected drawing location, with the supporting clause or source. ### 3D Design Review Model objects reviewed against rules, specifications and owner requirements. Check equipment and system arrangements against surrounding structure, access routes, working clearances and applicable requirements. Examine each finding on the affected model objects and review the proposed resolution before accepting a change. ## Data Processing & Automation ### Engineering Data Processing Design data becomes connected engineering records your applications can use. Interpret 2D and 3D CAD, images, technical text and data exports to identify vessel objects, properties and relationships. Map that engineering meaning into the records your CAD, PDM or PLM application needs, retaining source references. ### Data Quality & Enrichment Incomplete and inconsistent engineering records arrive with proposed corrections. Use vessel context and source data to identify missing properties, duplicate objects and inconsistent classifications. Review suggested values and relationships with their supporting evidence before updating the records. ### Workflow Automation Approved record updates and task handoffs run inside your existing tools. Coordinate data intake, enrichment and record updates across CAD, PDM and PLM using the relevant vessel objects and task dependencies. Pass results, source references and approval status to the next task so teams spend less time transferring and reconciling data. ### Engineering Assistance Engineering questions lead to source-backed answers and actions in vessel context. Work with AI that connects your question to the relevant drawings, model objects, requirements and revisions. Examine the supporting evidence, direct follow-up work and review proposed actions within your engineering workflow. ## Rules & Requirements ### Rules & Requirements Research Applicable rules and requirements form one source-linked set for the vessel. Assess class rules, statutory requirements and owner specifications against the vessel type, particulars and intended service. Review the proposed applicable set, its rationale and source clauses before establishing the design requirements. ### Requirements Analysis Conflicting and incomplete requirements surface before they drive design decisions. Compare specifications, rules and project documents to identify contradictions, gaps and dependencies affecting the vessel. Review each issue with its sources and affected systems or spaces, then resolve it before taking the design forward. ### Design Compliance The compliance record links requirements to their design evidence. Connect applicable requirements to the vessel spaces, systems and equipment they govern and the drawings or models that demonstrate compliance. Track evidence, open findings and engineer dispositions against design revisions as the vessel develops. [Request a demo](https://www.atlantiq.ai/request-demo)