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System Status
Online: 3K+ Agents Active
Digital Worker 8 AI Agents Active

AI Agentic Design Intelligence System

An AI-powered multi-agent system automates the entire design-to-prototype workflow in under an hour. Specialized agents collaborate to analyze requirements, select optimal materials, generate multiple design variants using topology optimization, validate performance through FEA simulation, assess manufacturability, calculate costs, and ensure compliance - all with real-time collaboration capabilities.

8 AI Agents
9 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: DesignIntelligenceHub

Problem Statement

The challenge addressed

Custom fastener design traditionally requires 3-4 weeks of engineering time across requirements gathering, material selection, geometry optimization, stress analysis, manufacturing feasibility, and compliance validation. The iterative process involve...

Solution Architecture

AI orchestration approach

An AI-powered multi-agent system automates the entire design-to-prototype workflow in under an hour. Specialized agents collaborate to analyze requirements, select optimal materials, generate multiple design variants using topology optimization, vali...
Interface Preview 4 screenshots

Design Brief Analysis - Requirements extraction and validation from technical specifications

Generative Design - Topology optimization and AI-generated design variants

Physics Simulation - FEA analysis with stress visualization and safety factors

Manufacturing & Cost Analysis - DFM evaluation and detailed cost breakdown

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

8 Agents
Parallel Execution
AI Agent

Design Orchestrator

Design workflows require careful sequencing of dependent analyses with parallel processing of independent tasks to minimize cycle time while ensuring quality.

Core Logic

Plans and executes the design workflow, identifying parallel processing opportunities, managing agent dependencies, allocating GPU resources to compute-intensive agents (geometry, simulation), tracking progress, and coordinating handoffs between agents with proper data packaging.

ACTIVE #1
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AI Agent

Requirements Analyzer

Design briefs contain natural language descriptions, technical specifications, and implicit constraints that must be extracted, validated, and structured for downstream agents.

Core Logic

Uses NLP to extract technical requirements from design brief text, identifies hard constraints (must-have) vs. soft constraints (nice-to-have), validates completeness against industry norms, flags gaps, and structures requirements for consumption by specialist agents.

ACTIVE #2
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AI Agent

Material Science Agent

Optimal material selection requires balancing mechanical properties, corrosion resistance, cost, availability, and compliance across thousands of material options.

Core Logic

Queries a database of 2,800+ materials, filters by tensile strength, corrosion resistance, temperature range, and cost constraints. Ranks candidates using weighted scoring, recommends primary and alternative materials with full property specifications and cost-per-kg comparisons.

ACTIVE #3
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AI Agent

Generative Design Engine

Creating optimized 3D geometry requires exploration of vast design spaces to find shapes that minimize weight while meeting strength requirements - beyond human intuition.

Core Logic

Runs GPU-accelerated topology optimization with 500,000+ element meshes, applies constraint satisfaction for mounting features and dimensional limits, extracts manufacturable features (ribs, holes, bosses) from optimized shapes, and generates 5 design variants optimized for different priorities (cost, weight, strength, balanced, durability).

ACTIVE #4
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AI Agent

Physics Simulation Agent

Design validation requires finite element analysis across multiple load cases including static stress, fatigue life, and dynamic response - computationally intensive and requiring specialized expertise.

Core Logic

Generates adaptive meshes with quality indices, runs FEA solvers for static, fatigue, and thermal analyses, calculates safety factors against allowable stresses, identifies stress concentrations, predicts fatigue life cycles, and provides optimization feedback for geometry refinement.

ACTIVE #5
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AI Agent

Manufacturing Advisor

Design for manufacturability requires knowledge of process capabilities, tooling constraints, and production economics across multiple manufacturing methods.

Core Logic

Evaluates 12+ manufacturing processes against geometry and volume requirements, selects optimal primary process (stamping, CNC, casting, etc.), identifies DFM issues with severity ratings, calculates production rates and setup times, and recommends design modifications to improve manufacturability scores.

ACTIVE #6
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AI Agent

Cost Estimator

Accurate cost estimation requires modeling material costs, labor, overhead, tooling amortization, and volume pricing across production scenarios.

Core Logic

Calculates detailed cost breakdowns (material, labor, overhead, quality), estimates tooling costs with amortization schedules, generates volume pricing tiers, and computes total cost of ownership.

ACTIVE #7
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AI Agent

Compliance Validator

Industrial fasteners must meet multiple standards (ASME, SAE, ISO) and certifications (RoHS, REACH, IATF 16949) with complete audit trails for customer and regulatory requirements.

Core Logic

Validates designs against ASME B18.2.1, SAE J429, and customer-specific standards. Verifies material certifications (RoHS, REACH compliance), checks dimensional tolerances against specifications, generates audit trail documentation, and confirms PPAP readiness levels.

ACTIVE #8
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

The Design Intelligence Hub transforms custom fastener design from a weeks-long manual process to an AI-accelerated workflow. Engineers submit design briefs with technical requirements, and the system orchestrates 8 specialized agents through requirement analysis, material selection, generative design, physics simulation, manufacturing analysis, cost estimation, and compliance validation. Multiple design variants are generated and ranked, enabling real-time collaboration between engineers and AI for refinement before prototype ordering.

Tech Stack

9 technologies

NLP extraction engine for technical requirement parsing

Material properties database with 2,800+ material specifications

Topology optimization engine with GPU acceleration

FEA solver integration for structural and fatigue analysis

CAD generation capabilities (STEP, IGES output)

DFM analysis rules for multiple manufacturing processes

Cost modeling with volume pricing and tooling estimates

Compliance database for ASME, SAE, ISO, RoHS, REACH standards

Real-time collaboration infrastructure with annotation support

Architecture Diagram

System flow visualization

AI Agentic Design Intelligence System Architecture
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