AI Agents + Blockchain Verification = Trust & Efficiency
Distordia Labs is pioneering AI-governed maritime design where specialized AI agents perform engineering tasks, coordinate across disciplines, and verify their work on the Nexus blockchain. We're creating the future of ship engineering — autonomous, verifiable, and data-driven.
Modern ship design is complex, fragmented, and verification-heavy. We're solving the fundamental issues that cost the maritime industry billions annually.
Naval architecture, piping, HVAC, electrical, and structural engineering work in isolation. Design conflicts emerge late in the process, requiring costly rework and delays.
Multi-disciplinary ship design suffers from spatial clashes, interface mismatches, and incompatible specifications. Detection happens manually, often too late.
Engineering data exists across multiple formats, tools, and systems. No unified, machine-readable representation of vessel knowledge exists for AI consumption.
Manual verification and change management consume 30-40% of project time. Every design iteration requires extensive human review and validation across disciplines.
Design decisions lack traceable, immutable audit trails. Why was a choice made? Who approved it? When did it change? These questions often have no verifiable answers.
Traditional AI systems operate as black boxes. Engineering firms need verifiable, explainable AI with clear accountability and audit trails for mission-critical designs.
We're developing the foundational technologies for autonomous ship engineering—from specialized AI agents to blockchain-verified design governance.
Specialized AI models trained to perform specific engineering tasks—pipe routing, cable tray layout, HVAC optimization, structural analysis. Each agent is an expert in its domain, capable of autonomous design work within defined parameters.
The orchestrator that coordinates multiple discipline-specific AI agents. The DAA manages task allocation, validates cross-discipline interfaces, resolves conflicts, and ensures overall design coherence and compliance.
Formal, machine-readable contracts that define spatial, service, and performance interfaces between engineering disciplines. ICCs are the "API contracts" of ship design—they specify what each discipline must provide and respect.
Unified vessel data representation combining ISO 15926 (process plant data), AP242 (CAD/CAM), and SFI Group System (ship function). Creates a single, machine-readable knowledge base that AI agents can query, update, and reason over.
Nexus blockchain integration provides immutable audit trails, verifiable AI agent identity, smart contract-based task escrow, and quantum-resistant design provenance. Humans and AI agents both operate on-chain with full accountability.
An integrated ecosystem where human engineers, AI agents, validators, and blockchain infrastructure work together seamlessly.
Every design action recorded with timestamp, agent ID, and rationale
Compare design iterations, highlight changes, review conflicts visually
Cryptographic proof of design approval and compliance verification
Smart contracts release payment upon verified task completion
A decade-long vision to transform ship engineering from manual, fragmented workflows to autonomous, verifiable design synthesis.
Active research initiatives and pilot programs underway in 2025.
On-chain tracking of design releases, change orders, and approval workflows. Every design iteration recorded on Nexus with cryptographic proof of authorship and approval.
Early version of the Design Authority Agent coordinating piping and HVAC AIAs. Testing conflict detection, ICC validation, and automated resolution strategies in controlled environments.
Collaborative effort to unify maritime engineering ontologies. Integrating ISO 15926, AP242, and SFI into a coherent graph schema that AI agents can consume and update.
Building relationships with major classification societies (DNV, Lloyd's, ABS) and universities for rule formalization, validation research, and data sharing agreements.
We're seeking partners across the maritime ecosystem to accelerate AI-driven ship engineering.
Join our pilot programs to test AI agents and blockchain verification in real projects. Early adopters gain competitive advantage and shape the platform's development.
Collaborate on fundamental research in AI orchestration, knowledge graphs, and verification methods. Co-publish findings and contribute to open standards.
Fund development of specific AI marketplace modules, validation tools, or industry integrations. ROI through licensing, transaction fees, and equity participation.
Partner on formalizing class rules for AI consumption, developing automated compliance checking, and establishing new certification frameworks for AI-designed vessels.
Let's discuss how we can work together to build the future of ship design.