Docusign vs Siemens

An AI contract-review tool embedded in Microsoft Word that redlines agreements against playbooks, drafts clause language from plain-language instructions, and answers questions about a contract.

An intelligent agreement repository that uses Docusign Iris to automatically extract key terms, obligations and deadlines from stored contracts and make the portfolio searchable and reportable.

Contract lifecycle management application filed under Docusign IAM: it generates contracts from dynamic templates and uses AI to flag non-compliant clauses, suggest approved language and draft new clauses, runs AI-assisted review, negotiation and summarisation, extracts key terms automatically and answers questions over the repository, all driven by Docusign's Iris AI engine. Sold through sales only.

Family of AI-powered identity-verification and authentication products, using AI-enabled document and biometric liveness checks to validate signer identity, with certified-agent review for inconclusive cases.

No-code builder for agreement workflows that connects intake, document generation, conditional routing and signature steps and syncs data with CRM, procurement, storage and HR systems; Docusign's AI enters through agents that can be dropped into a workflow 'to handle dynamic, judgement-based tasks'. Included in every Docusign IAM plan, with a per-plan cap on the number of workflows.

Ready-to-deploy and custom AI agents that act on a company's agreement context to triage intake, redline contracts against standards, and assemble relationship briefs.

Intelligent Agreement Management platform built around Iris, Docusign's AI that reads a customer's contracts and surfaces obligations, risks and renewal dates, plus an Agreement Manager and Workflow Builder for acting on what it finds.

Docusign's agreement-AI layer that extracts data from contracts, surfaces risk and renewal insights, and powers the assistant and agents across the IAM platform.

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-AI engineering agent connected to TIA Portal that writes and tests PLC code in SCL and LAD, builds HMI logic and configures drives, hardware and networks for automation projects.

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.