Manufacturers can adopt AI responsibly and at scale — connecting AI clients and agents to critical industrial systems with precision, control, and full auditability. Standardize AI access across plants and production environments, enforce granular policies centrally, and maintain a complete audit trail — from first pilot to enterprise-wide deployment.
Natoma provides a verified MCP server library and supports custom MCP deployments across cloud, edge, desktop, and on-prem environments.
Connect AI clients and agents to:
Centralized configuration layer across every environment. Eliminate unmanaged integrations. Prevent shadow AI access before it disrupts production, safety, or quality.
Standardize AI tool access using Profiles — predefined, role-based toolkits aligned to manufacturing functions such as production operations, quality, maintenance, supply chain, and engineering.
Distribute access across approved AI clients and agents through a single managed Natoma endpoint. Scale from controlled pilot lines to plant-wide and global deployment without configuration drift or manual rework.
Manufacturing environments require strict access control and policy enforcement to protect operational technology, safety systems, and regulatory compliance.
Natoma centralizes authorization for AI tool usage, allowing teams to define who can access which systems — and under what conditions — using granular, attribute-based policies powered by Cedar.
Apply identity-aware and context-aware enforcement across users, devices, agents, facilities, and operational contexts.
Natoma provides a complete audit trail of AI tool access and activity across manufacturing systems.
Detect unauthorized or unmanaged AI usage. Bring it under governance. Integrate visibility into your existing operational, IT, and security stacks.
Support audit readiness, safety frameworks (e.g., ISO/IEC), and internal controls without slowing innovation.
From tightly controlled pilots on the factory floor to global manufacturing transformation, Natoma enables secure, scalable adoption of AI across operational and engineering workflows.
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