Italyna Labs

Materials innovation consulting services and AI-safe materials research workflows.

• Literature Reviews & Feasibility Briefs

  Rapid scanning of scientific literature to identify state-of-the-art materials, manufacturing processes, and design opportunities. Deliverables include annotated bibliographies and feasibility assessments. Features: Systematic literature search across journals and databases; Critical analysis of competing approaches; Feasibility scoring and recommendation matrices; Annotated references with key findings.

• Materials Selection & Trade-off Analysis

  Data-driven materials selection using Ashby charts, performance indices, and multi-criteria decision matrices. Ideal for early-stage design and optimization. Features: Performance index derivation; Ashby chart analysis and material screening; Cost-performance trade-off evaluation; Environmental impact assessment.

• AM Design Studies

  Design for additive manufacturing including topology optimization, lattice structures, and process parameter selection. CAD deliverables ready for printing. Features: Parametric CAD models (Grasshopper/Python); Topology optimization workflows; Printability analysis and support strategies; Post-processing and finishing guidelines.

• Testing Roadmaps & Experiment Design

  Structured test planning for mechanical characterization, durability validation, and prototype evaluation. Includes DOE strategies and statistical analysis plans. Features: Test matrix development (DOE); Sample preparation protocols; Data collection templates; Statistical analysis frameworks.

• Science Communication & Visualization

  Translating complex technical findings into stakeholder-ready decks, posters, and visual narratives. Publication-quality figures and infographics. Features: Technical poster design; Data visualization (Python/Matplotlib); 3D rendering and CAD illustrations; Presentation decks for technical audiences.

• AI-Assisted Materials Research Workflows

  Public-source AI workflows for literature mapping, materials data notebooks, experiment planning, and technical communication. Designed for teams that need speed without losing scientific rigor. Features: AI-safe literature and source mapping; Public-data notebooks and reproducible plots; Experiment planning prompts and metadata templates; Technical review checklists for AI-assisted work.