Generative AI
for Manufacturing

Your Manufacturing AI Companion that Gets Work Done
Generative AI for Manufacturing

Virtual Assistants are transforming the Manufacturing Industry






Cost Savings

Use Cases

Case Document Summarization

Document and Report

Generate personalized summaries of manufacturing documentation like lengthy equipment manuals, training materials, equipment protocols, and more, tailored to individual employee roles, ensuring relevant information for their specific tasks.

domain specific LLM

Domain-specific LLMs

Deliver context-aware responses to users with Retrieval Augmented Generation (RAG) and manufacturing-specific LLMs. By grounding responses to preferred data and domains, organizations can reduce hallucinations and improve response accuracy.

AI Auto Tagging

AI Auto-tagging

Automate the tagging and categorization of support tickets, product issues, and maintenance requests by leveraging natural language processing and LLMs trained on the preferred data.

predictive maintenance

Predictive Maintenance

Analyze sensor data and machine logs to detect anomalies and predict potential equipment failures, enabling proactive maintenance and reducing downtime. Provide natural language recommendations for preventive actions and generate work orders for maintenance tasks.

Persona based copilot

Persona-based Co-pilot

AI Copilot offers persona-based copilots tailored for various roles in manufacturing enterprises, such as process optimization copilots to streamline workflows, supply chain copilots to enhance logistics management, and plant operator copilots to assist with equipment operations and maintenance.

Automated Training Workflow

Automate Training Workflows

Leverage natural language processing to provide personalized support through business apps like Microsoft Teams or Slack, fulfilling requests related to safety training, manufacturing processes, compliance requirements, and more.

Benefits & Integrations

Increase productivity with an enterprise AI Copilot that anticipates user needs before they need them

Personalize experiences with contextual and permission-aware responses

Meet stringent data governance and compliance requirements with the TRAPS framework