See you at Hannover Messe (April 20-24) @ Germany. Please visit us at Hall 11, E36.
Learn about Turiya AI features and use cases
Turiya AI Demo: Build & Deploy Multi-Agentic Enterprise AI in Minutes.
Turiya AI is an enterprise-grade platform designed to orchestrate multi-agent AI workflows across critical business functions. This demo highlights how organizations can design, govern, and deploy AI-driven workflows that integrate with existing systems and deliver measurable operational impact. Key capabilities include: • Workflow orchestration • AI governance and observability • Enterprise integrations • Scalable deployment across environments
Industrial IoT to Autonomous Action | Turiya AI Multi-Agent Demo (Industry 4.0)
See how Turiya AI transforms Industrial IoT into an autonomous decision system. In this demo, a multi-agent AI workflow analyzes real-time sensor data from chillers, pumps, and AHUs to detect anomalies, diagnose failures, forecast future behavior, and automatically generate maintenance work orders. Using natural language via the Interactor, users can query assets, sensors, telemetry, anomalies, and full system diagnosis—instantly. Key Highlights: Real-time IoT data integration (HiveMQ + CouchDB) AI-driven anomaly detection & 7-day forecasting Failure mode diagnosis using industry standards (ASHRAE) Automated maintenance work order generation Natural language interaction across the entire system Turiya AI — The Control Plane for Autonomous Manufacturing Intelligence
Automate manufacturing: 2D Drawings to 3D CAD with Turiya AI
Turiya AI enables manufacturers to automate the conversion of 2D engineering drawings into accurate 3D models and CAD-ready code. Powered by Turiya AI's multi-agent AI workflow and engineering-trained models, this approach reduces manual effort, accelerates design cycles, and improves consistency across engineering processes. ✔ Convert drawings to 3D in minutes ✔ Reduce engineering workload ✔ Deploy scalable AI workflows
Knowledgebase creation for Product Advisor
Turiya AI can build knowledgebase out of any documentation (PDF and/or URLs) and make it available for agents to respond to user's natural language queries.
