Siemens vs ZEISS

Generative-AI assistant for industrial engineers that answers equipment-troubleshooting questions by chat, generates and debugs automation code, and supports digital-twin simulation, built with Microsoft Azure AI.

Ready-to-use AI visual quality inspection system that trains on roughly 20 good samples to detect anomalies, deviations and missing parts on a production line without machine-vision or AI expertise.

Cloud predictive-maintenance software that applies industrial AI to machine and process data to forecast asset failures, rank risk across sites and prioritise maintenance work.

Generative and agentic AI system for Siemens EDA tools that ingests and vectorises multimodal design data, exposes a natural-language interface across the design workflow and automates debugging, with customer-choice LLM support.

Edge software suite for packaging, deploying, running and monitoring AI models on the factory floor, comprising an AI SDK, AI Inference Server and AI Asset Manager running on Siemens Industrial Edge and NVIDIA-accelerated industrial PCs.

Railigent X combines operational and condition data to detect rail asset faults.

Visual drag-and-drop and notebook-based platform in the Rapidminer portfolio for building, training and explaining machine learning and generative AI models, with AutoML tooling and deployment to cloud, on-premises or edge infrastructure.

Enterprise knowledge-graph platform in the Rapidminer portfolio, built on open W3C standards (RDF, SPARQL, OWL, SHACL), that federates cross-domain data into a governed semantic layer and gives AI agents a queryable, traceable context for grounded answers.

App for ZEISS INSPECT X-Ray that detects, segments and evaluates defects in industrial CT scans with pre-trained or customised AI models, including on noisy scans with artifacts.

Deep-learning support tool built into ZEISS CIRRUS OCT devices that reviews macular OCT scans and flags the B-scans that may need closer review, such as subretinal or intraretinal fluid and retinal pigment epithelium changes, and can be switched off when not wanted.

An AI assistant advises users on microscopy experiment planning and image acquisition setup.

Cloud application for cataract surgeons that stores surgical videos exported from ZEISS CALLISTO eye, arranges them in a case library with biometry and device data, and uses an AI segmentation algorithm to give surgeon and clinic performance dashboards and step-by-step review.

A licensed ZEN toolkit provides image denoising, segmentation, object classification and model training.

Microscopy software for acquiring images, analysing samples and managing results across ZEISS light and electron microscopes, with AI-based segmentation and classification that users train in the software with no programming, plus an image database and industrial analysis workflows.

Software that scales image analysis pipelines.

An image analysis application supports visualization pipelines and AI model training.

A cloud platform trains AI models for microscopy image analysis.