Best Industrial AI Software for OpenAI

Riff is an enterprise AI agent platform that helps industrial organizations automate complex operational workflows across existing business systems. The software provides autonomous agents for order management, procurement, logistics, production planning, and aftermarket operations. These agents can process customer orders, follow up with suppliers, manage purchasing activities, investigate exceptions, and update records directly within connected ERP platforms. Riff maintains a shared operational context containing business entities, relationships, procedures, and historical interactions to support consistent agent decisions. Its integrations connect with systems such as Microsoft Dynamics 365, SAP, Infor, IFS, Monitor, Jeeves, and Epicor through supported APIs. The platform provides collaborative interfaces where employees and AI agents can review the same operational records, exchange information, and coordinate decisions. A natural language application builder enables users to create custom dashboards, operational workspaces, and specialized AI agents without developing every component manually. Security and governance capabilities include role-based permissions, single sign-on, human approval requirements, activity logging, and controlled deployment processes. Riff also supports communication through email, Microsoft Teams, Slack, phone, and business portals to coordinate workflows involving employees, customers, and suppliers.

Cognite Atlas AI serves as a low-code platform designed for industrial AI agents, leveraging AI-ready data to streamline workflows and enhance business results across various organizations on a large scale. By utilizing a user-friendly low-code interface, along with prebuilt agent templates and specialized industrial tools, digital teams can effortlessly create, modify, and deploy AI agents without the necessity of coding. The platform, which is driven by Cognite Data Fusion's Industrial Knowledge Graph, equips agents with contextualized industrial information, ensuring the delivery of dependable insights and the ability to automate intricate tasks relevant to the industry. It integrates diverse data types such as time-series data, events, documents, visual data streams, and 3D engineering models, effectively dismantling data silos and facilitating precise solutions to challenging inquiries. Users have the capability to develop customized AI applications that are adept at comprehending industry-specific jargon, procedures, and standards, thereby supporting various workflows including root cause analysis, equipment troubleshooting, and operational decision-making. This innovative approach not only boosts efficiency but also fosters a deeper understanding of the processes that drive industrial operations.