Enterprise AI for Manufacturing

AirgapAI operates 100% on-premise with zero cloud connectivity. Product designs, manufacturing processes, and trade secrets never leave your network. That is what private AI for manufacturing means in practice, and it is critical for manufacturers who cannot risk exposing competitive advantages to cloud AI providers.

Yes. AirgapAI is SCIF-approved and designed for ITAR environments. Defense manufacturers and aerospace suppliers use AirgapAI specifically because it enables AI productivity without export control violations. Data never leaves your facility.

Absolutely. AirgapAI includes workflows for quality management documentation, procedure writing, and compliance reporting. Manufacturers use it to maintain ISO 9001, AS9100, and other certifications with consistent, AI-generated documentation.

AirgapAI provides REST APIs for integration with ERP systems, PLM platforms, and document management systems. All integrations stay on-premise - no data flows to external services. Works with common manufacturing software ecosystems.

Manufacturers typically see 40-60% time savings on documentation tasks. With perpetual licensing at $697/user (vs $30-60/month for cloud AI), ROI is achieved within 6-12 months. No ongoing subscription costs means long-term value.

Food and beverage plants run on documentation that changes by line and by SKU: HACCP plans, allergen controls, sanitation procedures and label specifications. An on-premise assistant answers which sanitation step applies to a specific changeover and cites the current revision it came from, while recipes and formulations stay inside the facility network.

Automotive suppliers apply AI mainly to the paperwork wrapped around the part: PPAP and APQP packages, control plans, FMEA updates, work instructions and the customer-specific requirements each OEM issues. Keeping that work on-premise matters because those documents carry program detail covered by customer confidentiality agreements. Vision-based inspection stays a separate system on the line.

A fab treats process recipes and yield data as the most sensitive assets in the company, so responsible deployment starts by keeping both the model and the data inside the fab network, with named approvers for every published answer. AirgapAI runs fully on-premise for that reason, and Iternal delivers governance and rollout guidance alongside AI training for manufacturing teams. To score OT and IT segmentation, plant connectivity and data controls before a rollout, use the manufacturing AI deployment assessment.

Aerospace and precision shops carry AS9100 quality records, first-article inspection reports, traceability records and program documentation that must stay inside the boundary. AirgapAI is SCIF-approved and runs air-gapped, so procedure writing, first-article documentation and supplier packages are drafted without export-control risk. Program-level compliance detail lives on the Iternal page for ITAR compliant AI in defense and aerospace.

Additive teams hold build parameters, material certifications, post-processing steps and qualification reports that rarely sit in one system. An on-premise assistant reads that set as it is and answers build-specific questions, such as which parameter set was qualified for an alloy or what post-processing a customer specification requires, while the qualified parameter library stays on the network.