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nongo.ai

nongo.ai turns industrial expertise into autonomous AI agents that optimize manufacturing and distribution operations.

nongo.ai screenshot

Category: Automation

Price Model: Trial

Audience: Business

Trustpilot Score: N/A

Trustpilot Reviews: N/A

Our Review

nongo.ai: Empowering Industrial Teams with Autonomous AI Agents

nongo.ai is a powerful AI framework designed for plant managers, engineers, and technical sales teams in manufacturing and distribution industries. It transforms deep industrial expertise into intelligent, autonomous AI agents that streamline valve configuration, improve quoting accuracy, and enhance operational efficiency. By integrating seamlessly with existing systems like MES, CMMS, ERP, and sensor data platforms, nongo.ai enables organizations to retain their current infrastructure while unlocking real-time actionable intelligence. The platform excels at reducing unplanned downtime through root-cause troubleshooting and capturing valuable tribal knowledge for consistent, scalable decision-making across teams and facilities. With customizable AI agents and strong data security, nongo.ai delivers a future-ready solution for industrial optimization.

Key Features:

  • Autonomous AI agents for manufacturing and distribution workflows
  • Valve configuration and quoting automation
  • Integration with MES, CMMS, ERP, inventory, and sensor systems
  • Seamless deployment without system replacement
  • Real-time issue detection and instant reporting
  • Root-cause troubleshooting for operational insights
  • Customizable agents tailored to specific industries and processes
  • Capture and systematization of tribal knowledge
  • Scalable across teams and multiple sites
  • Strong emphasis on data security

Pricing: Contact-based pricing with a free demo and call scheduling available to get started.

Conclusion: nongo.ai is a transformative AI solution that turns industrial expertise into intelligent, scalable agents, empowering manufacturers and distributors to make faster, smarter decisions while preserving their existing systems and data integrity.

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