engineering-ai

A version of command line interface(CLI) that leverages the power of Claude Opus(3-4.7). This framework lets Claude create and manage its own tools on the fly, continuously growing its capabilities through the course of a conversation

AI-powered Mechanical Engineering Review Skill for CAD, FEA, DFM, DFA and Assembly Analysis.

A verifiable engineering knowledge engine that turns technical documents, CAD models, and equipment data into structured knowledge for humans and AI agents.

Deep learning system that simulates and optimizes aircraft/vehicle designs using computational fluid dynamics and neural network surrogates.

Generative AI framework for Industrial Tomography, using Physics-Informed Shape Morphing to reconstruct internal flow dynamics from sparse sensor data

Synthetic hydraulic digital-twin demo for sensor validation, energy modelling, anomaly detection, fault-state classification and automated reporting.

AI-driven predictive maintenance system with Bayesian risk, optimization, ESG impact, and human-in-the-loop decision intelligence.

Benchmark framework for evaluating AI-generated responses on Electrical Engineering tasks using technical accuracy, similarity analysis, and hallucination detection.

Research prototype exploring functional engineering context for CAD-to-drawing intelligence using B-Rep geometry, assembly relationships, and machine learning.

EngineeringTeam Crew — A Python-based multi-agent AI template built on CrewAI that enables orchestrated teams of AI agents to collaborate on engineering-style tasks through simple YAML configuration and streamlined execution.

Non-code case study of a bridge defect detection and quantification workflow: segmentation, stereo depth, geometry, data flow and system boundaries.

Memory-driven multi-agent research system built with LangGraph, RAG, web search, reflection loops, evidence curation, and persistent memory for explainable research and summarization.

CFD-trained MeshGraphNet engineering portfolio for offline 3D heat-sink temperature-field prediction.

Long-running multi-agent CAD engineering workflow for refrigeration equipment design, sheet metal analysis, and manufacturing review.

Independent CAD assurance: contract to serialized artifact to separate remeasurement to verified-only export

Emmi AI is an Austrian engineering-AI company building Large Engineering Models (LEMs) - pre-trained, physics-accurate neural networks that replace traditional CAE/CFD solvers to deliver real-time, GPU-accelerated simulation and design validation for manufacturing, aerospace, semiconductor, and energy engineering.