Engineering
Intelligence.

Generate initial parametric SOLIDWORKS model from spec sheet, napkin sketch, or load requirements. Skip the blank-screen problem entirely.

AI-guided weight reduction and material redistribution within defined load and constraint sets. Remove what the part doesn't need.

Produce 10–20 design variants from a single constraint set for comparative review. Stop designing one option at a time.

Convert 2D scanned drawings or photographs to fully parametric 3D SOLIDWORKS models with complete drawing packages.

Identify reusable features and part families across your existing library. Stop redesigning what you've already solved.

Auto-detect interferences and generate optimized assembly sequences with tooling access analysis. Know how it goes together before you make it.

Flag likely structural failure points and mesh problem areas before running a full FEA solve. Fix it before the compute cost.

AI-driven mesh refinement that balances accuracy and compute time based on geometry and load conditions.

Auto-configure boundary conditions, load cases, and material assignments from design intent documentation.

Full failure investigation engine — fatigue, fracture, overload, and corrosion failure modes. Inputs: load history, material, geometry. Outputs: S-N curve, failure site map, root cause narrative, and corrective action recommendations.

Translate FEA thermal output into plain-language engineering summary with actionable design change recommendations.

AI-assisted weld joint design, sizing, and stress analysis. AWS D1.1, D1.2, and D1.6 code compliance. Outputs: weld size recommendations, joint classification, stress utilization ratios, and compliance documentation.

Design for Manufacturability review — undercuts, wall thickness, draft angles, tooling access, material conflicts. Includes dedicated Injection Mold Mode: gate location, parting line, ejector placement, and warpage risk. Catch issues before first cut.

Automated 1D/2D/3D tolerance chain analysis with worst-case and RSS reporting against functional requirements.

Suggest optimal toolpaths, tool selection, and cut strategy from geometry. Integrates naturally with RigidForge.

AI-driven material selection from load, environment, cost, and machinability inputs. Returns ranked alternatives with trade-off matrix.

Automated manufacturing cost estimate from part geometry, process selection, material, and batch size. Deliverable: itemized cost model.

Identify problem surfaces, inaccessible tool approaches, and Ra achievability issues before machining setup.

Suggest fixturing solutions and workholding from part geometry and process plan. Output: fixture concept with datum scheme.

Detect missing views, broken dimensions, notes, and GD&T errors across 2D drawing packages. Deliverable: redline-ready markup.

Automatically assign geometric tolerances based on functional requirements, fit, and assembly hierarchy.

AI-enhanced Bill of Materials with part substitution suggestions, preferred vendor mapping, and cost flag alerts.

Extract and validate Product Manufacturing Information from 3D model annotations for MBD workflows and downstream systems.

Flag all downstream design, drawing, BOM, and process effects of an engineering change order before release approval.

Generate complete engineering specifications from model metadata, design intent notes, and functional requirements.

Detect degenerate geometry, over-constraints, rebuild errors, and duplicate bodies. Deliverable: prioritized fix list.

AI-assisted Design FMEA from model structure, functional requirements, and historical failure modes. Deliverable: complete risk register with RPN rankings.

Match part geometry, materials, and finishes to applicable MIL-SPEC and MIL-STD requirements for DoD submission packages.

Flag potentially export-controlled geometry, materials, and assembly configurations against USML categories. Engineering pre-screen — not legal advice.

Verify design documentation completeness against AS9100 Rev D and CMMC 2.0 documentation requirements before formal audit.

Compile analysis, model data, and documentation into a PE stamp-ready certification package or formal Design Validation Report (DVR). Two structured output modes: PE Certification Package and DVR for OEM design reviews.

Auto-compile complete supplier RFQ packages and PPAP documentation from design data: drawings, specs, material callouts, control plans, and inspection requirements. Supports AIAG PPAP 4th Edition output mode.

AI-accelerated point cloud to fully parametric SOLIDWORKS model. Works natively with Titan Tech Scans and Einstar VEGA scan data.

Convert scanned or photographed 2D paper blueprints to annotated 3D CAD models with full drawing packages.

Identify part families, manufacturing method, and material group from scan data or reference images for library organization.

End-to-end package: scan → CAD model → 2D drawings → BOM → RigidVault heritage entry with full provenance chain.

Run a standards-compliant parametric template for any feature type. Input parameters, receive geometry with governing clause citations. Covers ASME, SAE, MIL-SPEC, AGMA, and AWS.

AI validation of your input parameters against the governing standard clause before geometry builds. Flags non-conformance and cites the specific clause.