Industrial-Grade AI with Zero-Trust Security — deterministic, governed workflows for engineering teams.
Irix Digital helps high-risk and engineering-intensive organisations adopt AI with confidence by combining deep engineering-domain expertise with cybersecurity and applied AI/ML. We deliver deterministic, governed agentic AI and RAG-driven workflows, modernise data and content foundations for AI readiness, and embed security-by-design so outcomes remain auditable, compliant, and operationally adoptable.
Where we aim to lead
To be Singapore's most trusted partner for industrial-grade, secure AI-enabled engineering and enterprise modernisation—helping organisations improve productivity, strengthen governance, and accelerate delivery without compromising risk and compliance.
A clear, governed path from AI to operations
Agentic AI for Engineering (Spearhead)
- Deterministic RAG for complex technical manuals and procedures (e.g., MRO, manufacturing, energy)
- Workflow integration across manuals, procedures, job cards/work orders, and enterprise systems
- Governed outputs with citations, version awareness, and evidence packaging for review and sign-off
Data Readiness & Modernisation (Connector)
- AI-ready content foundations: document control, metadata, lifecycle governance, and version management
- ERP and content modernisation framed as the runway for reliable AI adoption (access, structure, integrations)
- Solution architecture and integration so AI can read, draft, route, and operate within controlled workflows
Security & AI Governance (Foundation)
- Security-by-design across identity, access controls, data leakage controls, secrets, logging, and auditability
- GenAI design assurance for RAG/LLM deployments: governance, traceability, and risk controls for regulated environments
- Cloud and DevOps security architecture assessments and posture reviews to harden delivery at scale
Typical engagement outcomes
Operational uplift
- Reduced engineering cycle time through governed AI-assisted workflows
- Improved accuracy and consistency of engineering outputs with traceable references
- Stronger cloud/DevOps security posture and clearer control ownership
- Modernised ERP/content platforms with measurable operational uplift
Target customer profiles
- Aviation/MRO and aerospace engineering operations with large technical manual footprints and strict compliance needs
- Engineering-intensive manufacturing and precision industries where errors are costly and workflows must be auditable
- Energy & utilities with legacy systems and heightened cybersecurity and governance requirements
- Select regulated enterprises where AI governance, data protection, and traceability are mandatory
High-barrier engineering environments
Aviation / MRO
Technical manuals at scale, strict compliance, low tolerance for errors—ideal for deterministic, governed AI.
Energy & Utilities
Legacy systems meet modern AI needs—security, traceability, and governance are non-negotiable.
Engineering Manufacturing
Repeatable, auditable workflows that improve quality, throughput, and operational consistency.
Demonstrations coming soon
We are preparing short demos showing how an engineer goes from manual query to governed output and workflow execution (e.g., procedure extraction, compliance checks, and job card/work order drafting). We will publish these here once ready.
Start with a scoped, governed proof
We typically validate with a two-week prototype using your datasets and a clearly defined workflow. From there, we harden and scale to a production-grade MVP with security controls, auditability, and integrations.