AutoGain
AutoGain
Living Reliability Systems
Product Brochure

Magnus Genesis Studio

The world's first generative design platform purpose-built for reliability engineering. 21 AI agents synthesize, evaluate, and optimize designs with physics-grounded FMEA, material selection, and compliance verification.

21
AI Agents
8
Synthesis Steps
7
Opt. Epochs
80+
Standards

Problems It Eliminates

8-Step Synthesis Pipeline

StepNameWhat It Does
1Requirements CaptureFunctional requirements, constraints, target reliability
2Architecture SynthesisAI generates candidate architectures
3Component SelectionPhysics-grounded material and component recommendations
4FMEA GenerationAutomatic failure mode identification from design
5Physics Evaluation21 domain engines evaluate thermal, structural, EMC, etc.
6Compliance MappingAutomatic verification against applicable standards
7Optimization7-epoch evolutionary refinement
8DVP&R PlanningGenerate validation test plans from risk analysis

Key Capabilities

🧬 Design Object Model

Each component carries reliability DNA: material properties, failure modes, physics constraints, compliance mapping.

📚 Parametric Library

Reusable component templates with full reliability history from previous programs.

🔧 Assembly Composer

Drag-and-drop from library components with automatic interface analysis and BOM editing.

📊 Epoch Diff

Compare design evolution across synthesis epochs with visual diff and convergence tracking.

21-Agent AI Architecture

Electronics (4)

Voltage derating, thermal, electro-thermal coupling, EMC

Mechanical (6)

Vibration, thermo-mechanical, fatigue, shock/drop, acoustics, contact mechanics

Environmental (3)

Corrosion, thermal cycling, humidity

Materials (4)

Material selection, sealing/ingress, optical/photonic, fluid dynamics

System-Level (4)

Compliance auditor, FMEA generator, test planner, risk assessor

Orchestrator

Coordinates all agents, manages synthesis pipeline, resolves conflicts

Compliance Engine — 80+ Standards

IndustryStandards
AutomotiveIATF 16949, AIAG FMEA, AEC-Q100/Q200, SAE J1739
AerospaceAS9100, DO-178C, DO-254, MIL-STD-810
MedicalISO 13485, ISO 14971, IEC 60601
ElectronicsIPC-A-610, IPC-J-STD-001, JEDEC
GeneralISO 9001, ISO 22514, IEC 61508

Quantify Integration

📈 Monte Carlo Propagation

Propagate input uncertainty through limit-state functions for reliability prediction.

📊 Sobol Sensitivity

Identify which design parameters most affect reliability for targeted optimization.

Who Is This For?

Ready to Design for Reliability from Day One?

Contact us — wayne@autogainsystems.com | www.magnusaiengineering.com | magnus-genesis-studio.web.app