Insilico Medicine vs Siemens

AI research writing assistant that drafts structured, cited papers, reviews, grant proposals and abstracts against biomedical databases such as PubMed and bioRxiv.

Multimodal AI platform that forecasts the probability of success of individual clinical trials and scores alternative trial designs before implementation.

AI platform for de novo design and multi-property optimization of peptides, nanobodies and antibodies against specified targets and epitopes.

Generative small-molecule design platform combining de novo generation with physics-based methods, retrosynthesis, ADMET profiling and custom model training.

Foundation-model training and benchmarking platform that fine-tunes a customer's own LLM on Insilico's proprietary pharma reasoning datasets and validates results in its automation lab.

AI platform for therapeutic target identification, biomarker discovery, indication prioritization and drug repurposing over a multi-omics knowledge base.

End-to-end generative-AI platform spanning target discovery, molecular design and clinical-trial risk assessment for pharmaceutical research.

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.

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.