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# Super Intelligence (SI) for Manufacturing: AI Naming Guide

> Super Intelligence (SI), formerly AI, may soon appear in supplier RFPs and spec sheets. NIST's AI RMF still says AI; see what manufacturing buyers should check.

Super Intelligence (SI) · Manufacturing Procurement

# Super Intelligence (SI) for Manufacturing: What the AI Rename Means for Suppliers

A plain-language guide to Executive Order 14434's federal naming directive, what it does and does not
change in a supplier's RFP response or spec sheet, and what a procurement or supplier-quality lead should
check before a technical-manual revision gets filed.

A supplier-quality lead is scanning a vendor's RFP response for the third time this quarter when a word
catches her eye: Super Intelligence. Not artificial intelligence. Not AI. The inspection camera in the
spec sheet is the same model number as last year's. The defect-detection accuracy claim is unchanged.
Only the label is new, and the question that lands on her desk is not academic — does the
qualification record she signed off on last year still describe whatever this supplier now calls its
product?

It does. **Super Intelligence (SI), formerly called artificial intelligence (AI), is the federal
government's new name for the same technology already running inspection cameras and quality systems on
the floor** — Executive Order 14434 relabels a federal communications term, not the
underlying process, sensor, or software a supplier already qualified (Source: [Federal Register, EO 14434, Sec. 3(a)](https://www.federalregister.gov/d/2026-20321)).

**The verdict:** EO 14434, signed September 29, 2026, directs the federal executive
branch to use “Super Intelligence” and “SI” in its own correspondence and
documents. It does not rewrite NIST's AI Risk Management Framework, ISO 9001, or any supplier
qualification record your plant already holds (Source: [Federal Register, EO 14434, Sec. 2](https://www.federalregister.gov/d/2026-20321)).

**The boundary:** the order binds federal agencies’ own paperwork — not private
manufacturers or their suppliers, and Section 2(b) leaves existing contracts as written. A supplier that
writes “SI” on a spec sheet is adopting the term federal agencies now use, not meeting a legal
requirement (Source: [Federal Register, EO 14434, Sec. 2(b) and 4(c)](https://www.federalregister.gov/d/2026-20321)).

**What to verify:** when a supplier's next RFP response, spec sheet, or technical-manual
revision starts using “Super Intelligence,” three questions determine whether anything on the
floor actually changed — covered in the checklist below.

**The distinction:** the inspection camera and predictive-maintenance model already
qualified on your line are Super Intelligence in the sense Executive Order 14434 names them — the
existing statutory AI definition at 15 U.S.C. §9401(3) — not artificial superintelligence
(ASI), which Nick Bostrom defines as “any intellect that greatly exceeds the cognitive performance
of humans in virtually all domains of interest” (Source: [Nick Bostrom, Superintelligence: Paths, Dangers, Strategies, 2014, Ch. 2](https://en.wikipedia.org/wiki/Superintelligence)); see
[AI, AGI, ASI & SI: Super Intelligence Terms
Explained](https://iternal.ai/super-intelligence/ai-vs-agi-vs-asi).

72%

Manufacturers using AI in some form in 2026, up from 53% in 2024

48%

Quality professionals citing document automation as an AI use case, the most-cited use in 2026 (Octave/Censuswide)

$27.62B

Projected 2030 size of the global document-AI market tracking RFP response automation

10%

Manufacturers that have deployed AI at scale, out of the 72% who have adopted it in some form

Adoption and quality-use-case stats:  (Source: [Parsec Automation, 2026 State of the Manufacturing Industry survey (n=1,200), released via Business Wire, July 16, 2026](https://www.parsec-corp.com/news-and-events/parsec-survey-72-of-manufacturers-have-adopted-ai-but-only-10-have-done-so-at-scale))
and  (Source: [Octave, Pulse of Quality in Manufacturing 2026 survey by Censuswide (n=2,263), June 3, 2026](https://www.octave.com/newsroom/press-releases/2026/pulse-of-quality-in-manufacturing-2026-survey-reveals-surge-in-ai-adoption)).
Market forecast:  (Source: [MarketsandMarkets, Document AI Market Report, 2025-2030](https://www.marketsandmarkets.com/Market-Reports/document-ai-market-195513136.html)).

On This Page

1. [What's Actually Changing](#eo-scope)
1. [Where NIST's AI RMF Stands Today](#nist-rmf)
1. [What Changes in Supplier RFPs, Spec Sheets and Technical Manuals](#rfp-spec-sheets)
1. [Does This Affect Supplier Qualification or ISO/QMS Documentation?](#qms-iso)
1. [How to Read a Supplier's Rename Without Re-Qualifying Anything](#checklist)
1. [Where This Is Headed](#outlook)
1. [Explore Super Intelligence (SI) by Topic](#related)
1. [FAQ](#faq)

## What's Actually Changing

President Trump signed Executive Order 14434, “Inaugurating the Era of Super
Intelligence,” on September 29, 2026, and the Federal Register published it October 2, 2026 as FR
Doc. 2026-20321 (91 FR 63129-63130) (Source: [Federal Register, EO 14434, FR Doc. 2026-20321](https://www.federalregister.gov/d/2026-20321)).
The clause that matters for a manufacturing buyer is Section 2(a): federal agencies must swap
“Artificial Intelligence” and “AI” for “Super Intelligence” and
“SI” across the correspondence, web pages, reports, and policy documents those agencies write
going forward (Source: [Federal Register, EO 14434, Sec. 2(a)](https://www.federalregister.gov/d/2026-20321)) — reach that stops at an agency's own paperwork and never
extends to a supplier's spec sheet, RFP response, or technical manual, since manufacturers and their
supply base sit outside the executive branch entirely. Section 2(b) keeps every regulation, contract, and
grant already on the books exactly as written; nothing in the order requires going back and rewriting
them (Source: [Federal Register, EO 14434, Sec. 2(b)](https://www.federalregister.gov/d/2026-20321)).

Section 3(a) is a cross-reference, not a new category: it defines “Super Intelligence” and
“SI” as the same “technologies and systems encompassed by the term ‘artificial
intelligence’” already codified at 15 U.S.C.
§9401(3) (Source: [Federal Register, EO 14434, Sec. 3(a)](https://www.federalregister.gov/d/2026-20321)) — the identical statutory definition that NIST's AI RMF and any
supplier's ISO 9001-aligned AI-risk citation already rest on, so neither needs to be reopened. A
legislative follow-up is still pending: the Assistant to the President for Science and Technology has,
under Section 3(b), roughly 60 days from signing — to on or about November 28, 2026 — to
propose formal statutory language for the term, and nothing had published as of this writing. The
companion White House fact sheet is explicit that the order “does not impose penalties on private
citizens, researchers, or companies using ‘AI’” and makes no claim that any fielded
system has crossed a scientific threshold for
superintelligence (Source: [White House, Fact Sheet: President Donald J. Trump Inaugurates the Era of Super Intelligence](https://www.whitehouse.gov/fact-sheets/2026/09/fact-sheet-president-donald-j-trump-inaugurates-the-era-of-super-intelligence/))
— the order names today's capability under the statutory definition, not Nick Bostrom's theoretical
artificial superintelligence (ASI) threshold covered above.

The order's text makes no mention of manufacturing, supplier qualification, RFPs, or technical
documentation at all — it treats every sector identically, with no industry carve-out or deadline
specific to manufacturers or their suppliers. For the full breakdown of the order's definition clock,
agency scope, and legislative context, see the [Super Intelligence (SI)
hub](https://iternal.ai/super-intelligence).

## Where NIST's AI RMF Stands Today

Manufacturing's closest thing to a governing rulebook for AI risk is NIST's **AI Risk Management
Framework (AI RMF)** — a voluntary, cross-sector framework, not a manufacturing-specific
regulation. It was released January 26, 2023, and as of this writing is still formally titled “NIST
AI Risk Management Framework (AI RMF)” throughout its own text (Source: [NIST, AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework)).
NIST's own resource page states twice that “the AI RMF 1.0 is being revised as part of the White
House AI Action Plan” (Source: [NIST, AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework)) — a revision to the framework's substance, not a
terminology change from “AI” to “SI.” No manufacturing-specific AI RMF profile
exists; the closest document is a draft concept note for a cross-sector **AI RMF Profile on
Trustworthy AI in Critical Infrastructure** that NIST posted in April 2026, covering IT, OT and
industrial control systems across critical-infrastructure sectors broadly, whose illustration includes a
manufacturing robot arm — it is not a manufacturing-dedicated standard and remains in a
community-feedback stage (Source: [NIST, Concept Note: AI RMF Profile on Trustworthy AI in Critical Infrastructure](https://www.nist.gov/programs-projects/concept-note-ai-rmf-profile-trustworthy-ai-critical-infrastructure)).

A detail worth noting, not a rename

NIST's own website has restructured its top-level navigation around a “Super Intelligence”
topic hub, stating it “is working to update its communications to incorporate the term ‘super
intelligence’ as directed” by EO 14434, and the hub includes a section headed “Using
super intelligence in Scientific Research and Manufacturing” (Source: [NIST, Super Intelligence topic hub](https://www.nist.gov/super-intelligence)).
The documents nested underneath that heading — the AI Risk Management Framework, the NIST AI
Consortium, subtopics like Agentic AI — keep their original “AI” names and titles
unchanged (Source: [NIST, Super Intelligence topic hub](https://www.nist.gov/super-intelligence)). In other words: NIST's own site is the clearest live
example of the pattern a supplier-quality lead will see in supplier paperwork — the surrounding
label changed, the named framework and its text did not.

No Manufacturing USA institute or manufacturing trade association has adopted “SI”
terminology as of this writing. MxD's own 2026-2028 Outlook report still writes “artificial
intelligence (AI) and machine learning” (Source: [MxD / ManufacturingUSA.com, MxD Releases Outlook 2026-2028 Report](https://www.manufacturingusa.com/news/mxd-releases-outlook-2026-2028-report)), and the National Association of
Manufacturers' most recent public AI-policy statements write “artificial intelligence”
throughout and contain no “SI” language (Source: [National Association of Manufacturers, White House AI Plan Empowers American Innovation, Leadership](https://nam.org/nam-white-house-ai-plan-empowers-american-innovation-leadership/)).
If a supplier cites the AI RMF by name in a risk-management clause, that citation still resolves
correctly — the framework's own name has not changed.

## What Changes in Supplier RFPs, Spec Sheets and Technical Manuals

“SI” is most likely to surface first in three kinds of manufacturing-facing paperwork: RFP
capability statements where a supplier describes its own AI-based process controls, spec-sheet feature
descriptions for AI-enabled inspection or sensing hardware, and the revision history of technical manuals
that already use “AI” to describe a diagnostic or predictive-maintenance feature. Third-party
procurement commentary tracking EO 14434 expects this to appear first in **federal**
solicitations and agency procurement questionnaires — “if you sell to government teams, expect
questionnaires that ask about [SI]” — while advising vendors to “keep ‘AI’
where people search for it” and “do not rename code” (Source: [LLM Gateway, AI Is Now SI: What the Super Intelligence Order Means for Your Stack, Oct. 4, 2026](https://llmgateway.io/blog/si-gateway)).
As of this writing, no evidence has surfaced of any manufacturing OEM, industrial-automation vendor, or
supplier actually using “SI” in a live RFP response, spec sheet, or technical manual
— the shift so far is a federal-communications directive, not an observed change in private
manufacturing paperwork.

The use cases a “SI” label is most likely to attach to are already well underway and well
measured. **Document automation**, which covers supplier paperwork among other quality documents, is the most-cited AI use case among quality
professionals, at 48%, ahead of training (46%) and defect detection (44%), and overall AI use in quality
processes rose from 33% in 2025 to 47% in
2026 (Source: [Octave, Pulse of Quality in Manufacturing 2026 survey by Censuswide (n=2,263, US/UK/Germany)](https://www.octave.com/newsroom/press-releases/2026/pulse-of-quality-in-manufacturing-2026-survey-reveals-surge-in-ai-adoption)). Separately, the global document-AI
market — which explicitly tracks “RFP Responses” as a named use case — is sized
at $14.66 billion in 2025, growing to a projected $27.62 billion by 2030 (Source: [MarketsandMarkets, Document AI Market Report, 2025-2030](https://www.marketsandmarkets.com/Market-Reports/document-ai-market-195513136.html)).

**Defect-detection and predictive-quality adoption** tells the same story from the shop-floor
side: 72% of manufacturers have adopted AI in some form, up from 53% in 2024, though only 10% have
deployed it at scale, and quality control is the single top AI use case at 50% (Source: [Parsec Automation, 2026 State of the Manufacturing Industry survey (n=1,200), released July 16, 2026](https://www.parsec-corp.com/news-and-events/parsec-survey-72-of-manufacturers-have-adopted-ai-but-only-10-have-done-so-at-scale)). Parsec CEO Suzanne
Rudnitzki summed up the pressure behind that adoption curve: “Operational excellence has shifted
from a competitive differentiator to a prerequisite for survival” (Source: [Suzanne Rudnitzki, CEO, Parsec Automation, via Business Wire, July 16, 2026](https://www.parsec-corp.com/news-and-events/parsec-survey-72-of-manufacturers-have-adopted-ai-but-only-10-have-done-so-at-scale)).

What a procurement or supplier-quality lead should verify when a supplier's updated documents start using
“SI” is narrow and mechanical: that the underlying process, sensor, or inspection technology
is unchanged from what was already qualified; that any NIST AI RMF risk-management citation in the
supplier's quality documentation still resolves to the correctly named framework (see above); and that a
revision-controlled technical manual logs the terminology change in its revision history without implying
a product or process change. None of those three checks requires re-qualifying the supplier — they
confirm that nothing substantive moved under the new label.

## Does This Affect Supplier Qualification or ISO/QMS Documentation?

No. A supplier renaming its AI-based product or service category does not revoke an existing
qualification, ISO 9001 certification, or audit history — the underlying technology is unchanged by
EO 14434's own definition, and the order's companion fact sheet states plainly that it “does not
impose penalties on private citizens, researchers, or companies using ‘AI’” and creates
no new statutory obligation (Source: [White House, Fact Sheet: President Donald J. Trump Inaugurates the Era of Super Intelligence](https://www.whitehouse.gov/fact-sheets/2026/09/fact-sheet-president-donald-j-trump-inaugurates-the-era-of-super-intelligence/)).

Traditional supplier-qualification questionnaires — the ISO 9001-aligned surveys most manufacturers
already use — do not yet carry a standardized “AI capability” line item at all; AI
governance is not a mature, standardized field in ISO 9001-style supplier surveys. Where AI governance
is entering supplier assessment, it is happening mainly through the newer **ISO/IEC 42001**
standard — an AI-management-systems standard distinct from ISO 9001 — layered alongside
existing certifications rather than embedded inside the ISO 9001 clauses themselves, typically via a
structured questionnaire covering several governance areas (Source: [SecurityScientist.net, ISO 42001 AI Supplier Assessment and Contract Clauses Template, 2026](https://www.securityscientist.net/blog/iso-42001-ai-supplier-assessment-contract-clauses-template/)).
Within ISO 9001 itself, AI is treated as a “technology shift” that may need consideration
under Clause 4 (Context of the Organization), not as a dedicated AI clause (Source: [Cloud Security Alliance, What are the ISO 9001 Requirements](https://cloudsecurityalliance.org/articles/what-are-the-iso-9001-requirements)).

No source describes a terminology change — a supplier switching its self-description from
“AI” to “SI” — as triggering a re-audit or re-qualification requirement
under any ISO 9001 or AS9100 guidance. That is consistent with the EO's own no-new-obligation text: a
rename is a vocabulary event in the supplier's paperwork, not a change to the process, equipment, or
records your qualification already covers.

## How to Read a Supplier's Rename Without Re-Qualifying Anything

Guidance aimed at federal contractors generalizes cleanly to any manufacturing buyer facing a supplier's
renamed paperwork: law-firm trackers advise contractors to “mirror the solicitation” —
treating an agency's, or by extension a supplier's, use of “SI” as equivalent to
“AI” in that document only, without assuming a new technical or compliance
bar (Source: [Wiley Rein LLP, Executive Order Rebrands AI as Super Intelligence and Signals Potential Federal Legislative Changes, Oct. 2, 2026](https://www.wiley.law/alert-Executive-Order-Rebrands-AI-as-Super-Intelligence-and-Signals-Potential-Federal-Legislative-Changes)),
while keeping internal risk language anchored to the underlying statutory definition rather than either
word. The symmetric advice given to vendors making the switch is “keep ‘AI’
where people search for it,” “update government-facing material first,” and “do
not rename code” (Source: [LLM Gateway, AI Is Now SI: What the Super Intelligence Order Means for Your Stack, Oct. 4, 2026](https://llmgateway.io/blog/si-gateway)) — the same logic that applies to a supplier relabeling a spec sheet.
For a manufacturing buyer specifically, that crosswalk is three questions:

| Ask the supplier | Why it matters | Usual answer |
| --- | --- | --- |
| Is "SI" a terminology update or an actual new product/process? | A rename alone does not change the inspection method, sensor hardware, or process-control logic a supplier already qualified. | Usually a terminology update — get it confirmed in writing, not assumed. |
| Is the underlying inspection, sensing, or quality-control method referenced in the technical documentation unchanged? | Part numbers, model and firmware versions, and the documented process are what actually matter for requalification, not the marketing label on the cover page. | Usually unchanged — verify against the existing qualification record. |
| Does a NIST AI RMF or ISO-standard citation in the supplier's paperwork still point to the correctly named framework? | NIST AI RMF, ISO 9001, and ISO/IEC 42001 all still carry their original names — a citation pointing to a renamed placeholder would itself be the red flag. | Usually resolves correctly — confirm the citation still names the real framework. |

A supplier adopting the federal term on its own documents has a companion playbook:
[How to Rename AI to SI on Your Website Without
Losing Search Traffic](https://iternal.ai/super-intelligence/rename-ai-to-si-guide). From the buyer’s side, the three questions above cover it: confirm the technology,
confirm the citation, and file the revision.

## Where This Is Headed

Section 3(b) of EO 14434 gives the Assistant to the President for Science and Technology (the OSTP
Director) roughly 60 days from signing — running to on or about November 28, 2026 — to
propose legislative language for a formal federal definition of “Super Intelligence.” That
proposal had not published as of this writing (Source: [Federal Register, EO 14434, Sec. 3(b)](https://www.federalregister.gov/d/2026-20321)).

As of this writing, the only confirmed manufacturing-adjacent federal artifact is NIST's own
site-navigation relabeling covered above, plus the still-draft, cross-sector Critical Infrastructure AI
RMF profile concept note NIST posted in April 2026, covering IT, OT and industrial control systems across
critical-infrastructure sectors broadly, whose illustration includes a manufacturing robot arm —
not a dedicated manufacturing track. As of October 2026, none of Siemens, Rockwell Automation, Honeywell,
Schneider Electric, ABB, or Emerson brands its AI products as Super Intelligence or “SI.”

For the on-premise manufacturing AI-enablement story — keeping product-design IP off the cloud while
automating technical manuals, quality procedures, and supplier communications — visit the
[AI for Manufacturing](https://iternal.ai/ai-for-manufacturing) page. For more information visit the
[What Is Super Intelligence (SI)?](https://iternal.ai/super-intelligence) page.

## Explore Super Intelligence (SI) by Topic

Continue the AI-to-SI transition across the rest of your supply chain and governance program:

[### Super Intelligence (SI) by Industry: Full Directory

Every regulated industry's own terminology-shift page, from financial services to defense.](https://iternal.ai/super-intelligence/industries)

[### What Is Super Intelligence (SI)?

The hub page for the AI-to-SI naming shift: what EO 14434 says, who has renamed, and what has not changed.](https://iternal.ai/super-intelligence)

[### Best AI/SI Platforms for Federal Contractors (2026)

A ranked shortlist for manufacturers whose supply chain touches federal procurement.](https://iternal.ai/best-ai-si-platforms-federal-contractors)

[### Super Intelligence (SI) for Supply Chain & Logistics Teams

The adjacent terminology-shift page for the logistics side of the same supplier relationships.](https://iternal.ai/super-intelligence/industries/supply-chain)

[### Super Intelligence (SI) for Industrials: AI Naming Update

The closest sector sibling for manufacturers, covering industrial-equipment and plant-operations naming questions.](https://iternal.ai/super-intelligence/industries/industrials)

[### Super Intelligence (SI) for Defense & Aerospace Contractors

For manufacturers whose supplier base also serves defense primes under CMMC and ITAR.](https://iternal.ai/super-intelligence/industries/defense-aerospace)

[### Super Intelligence (SI) Governance: A Policy Checklist

Build (or update) an AI/SI governance policy that survives a supplier rebrand without a rewrite.](https://iternal.ai/super-intelligence/governance)

FAQ

## FAQ: Super Intelligence (SI) for Manufacturing

No — the technology did not change on September 29, 2026; the name caught up with it.
“Super Intelligence” (SI) is the federal government's new name for the same technology already
running inspection cameras, predictive-maintenance models, and document automation on the floor today, and
Executive Order 14434 defines it by the existing statutory AI definition at 15 U.S.C. §9401(3), not by a
new capability threshold. Iternal supports the name because it describes what that technology already
measurably does.

No. NIST's AI Risk Management Framework is still formally titled with “AI” and its own
text still says “AI” throughout, even as NIST's site navigation has started grouping programs
under a “Super Intelligence” heading. Nothing in EO 14434 or NIST's current guidance requires a
private supplier to change the wording of an RFP response or spec sheet.

Almost certainly not. Verify three things rather than assume: the underlying inspection, sensing, or
process-control method is unchanged; any NIST AI RMF or ISO-standard citation still points to the correctly
named framework; and the technical manual's revision history logs the wording change without implying a
product change. A rename alone changes none of those.

No. A supplier renaming its AI-based product or service category does not revoke an existing
qualification, ISO 9001 certification, or audit history. EO 14434's own fact sheet states the order creates
no new statutory obligation and does not impose penalties on private companies using “AI.” (Source: [White House, Fact Sheet: President Donald J. Trump Inaugurates the Era of Super Intelligence](https://www.whitehouse.gov/fact-sheets/2026/09/fact-sheet-president-donald-j-trump-inaugurates-the-era-of-super-intelligence/)) AI
governance questions are entering supplier assessment mainly through the newer ISO/IEC 42001 standard,
layered alongside ISO 9001, not inside it.

None, as of October 2026. Siemens, Rockwell Automation, Honeywell, Schneider Electric, ABB, and
Emerson do not brand their AI products as Super Intelligence or “SI.” Outside manufacturing,
Salesforce has made the switch (“The era of Super Intelligence is here. AIForce is officially
SIForce.” Marc Benioff, X, Oct. 9, 2026) (Source: [Marc Benioff on X, Oct. 9, 2026, via Digg](https://digg.com/tech/vuptndhq)), and Elon Musk has pledged to rename SpaceXAI to SpaceXSI
(“Yes, we will make that change”) (Source: [Reuters via The Star, Oct. 5, 2026](https://www.thestar.com.my/tech/tech-news/2026/10/05/musk-says-he-will-rename-spacexai-to-spacexsi)), a change not yet carried out as of Oct. 11,
2026 (Source: [CNN, Zachary B. Wolf, Oct. 11, 2026](https://www.yahoo.com/news/politics/articles/trump-really-wants-super-intelligence-160044063.html)).
Neither is a manufacturing-equipment or industrial-automation vendor.

No. The order binds federal executive agencies' own official correspondence, public communications,
websites, reports, and policy documents — not private manufacturers, their suppliers, or NIST's
existing framework documents retroactively. A manufacturer that never uses the word “SI”
anywhere in its own paperwork is not out of compliance with anything.

## A Name Change Is Not a Re-Qualification Event

The procurement teams that handle this well are not the ones ignoring the word “Super
Intelligence” when it shows up in a supplier's next RFP — they are the ones who already know
which three questions to ask, and who already have an AI documentation and governance practice anchored
to the statutory definition both names share. Treat a supplier's switch to “Super
Intelligence” as a prompt to confirm the technical manual's revision log, not as a re-qualification
event.

Manufacturing is where Iternal's support for the Super Intelligence name is easiest to check, because the
industry already measures where this technology works. Document automation is the most-cited AI use case
among quality professionals, at 48%, and 72%
of manufacturers have adopted AI in some form; in randomized field experiments across 4,867 developers at
Microsoft, Accenture and a Fortune 100 electronics manufacturer, AI coding assistance produced a 26.08%
increase in completed weekly tasks (Source: [Cui, Demirer, Jaffe, Musolff, Peng & Salz, Management Science, Feb. 27, 2026](https://doi.org/10.1287/mnsc.2025.00535))
— a software-development result, not a shop-floor one. When a supplier's spec sheet says
“Super Intelligence,” it is naming capability a buyer can already count. For more information visit the
[Why Iternal Supports Super Intelligence](https://iternal.ai/super-intelligence/iternal-adopts-si-terminology)
page.

On-Premise Manufacturing AI

## Keep supplier documentation and IP on your own network.

AirgapAI keeps technical manuals, quality procedures, and supplier communications on your own network, with no cloud exposure to reason about.

[See AI for Manufacturing](https://iternal.ai/ai-for-manufacturing)

Talk to Iternal

## Have a supplier RFP or spec sheet in front of you right now?

Iternal can walk your team through what a supplier's switch to Super Intelligence (SI) does and does not change, or map your manufacturing SI use cases with the [AI Blueprint Builder](https://iternal.ai/ai-blueprint-builder).

[Contact Iternal](https://iternal.ai/contact)


---

*Source: [https://iternal.ai/super-intelligence/industries/manufacturing](https://iternal.ai/super-intelligence/industries/manufacturing)*

*For a complete overview of Iternal Technologies, visit [/llms.txt](https://iternal.ai/llms.txt)*
*For comprehensive site content, visit [/llms-full.txt](https://iternal.ai/llms-full.txt)*