Enterprise AI for Manufacturing

Managed AI Transformation for Manufacturing

Eliminate unplanned downtime, resolve critical supply chain gaps, and keep your operations audit-ready.
No upfront cost · No FDE required · Full agent governance · Full control
AI that moves production forward

Connected Systems

Every plant, supplier, and back-office system working together — one complete picture of your operations.Always current.

Operational Intelligence

Maintenance histories, quality reports, supplier contracts, and engineering specs turned into answers your teams can act on immediately.

Governed Automation

From quality incidents to compliance reporting, your critical workflows run automatically with a clear trail behind every decision.

Unframe powers manufacturing operations

Supply Chain & Procurement

Prevent stockouts. Maximize savings.

  • Tier-1 supplier delay tracking
  • Master contract invoice auditing
  • Engineering BOM and procurement synchronization
  • Component part design standardization

Quality & Compliance

Zero escapes. Audit-ready.

  • Mid-mix material variance detection
  • Escaped defect and flaw isolation
  • End-to-end product genealogy tracking
  • Automated regulatory file generation

Maintenance & Asset Reliability

Fewer breakdowns. Continuous production.

  • Critical-line failure prevention
  • Long-lead spare parts forecasting
  • Condition-based overhaul scheduling
  • Field repair feedback loop integration

Production & Operations

Higher throughput. Total operational control.

  • Throughput micro-stall pinpointing
  • Dynamic shift line balancing
  • Automated cascading event responses
  • Real-time OEE data aggregation

Frontline Intelligence

Retained expertise. Faster shift onboarding.

  • Expert knowledge capture before retirement
  • Cross-system troubleshooting guidance
  • Digital shift handover summarization
  • Standard operating procedure compliance audits
Why AI in manufacturing is hard
Every plant runs different systems with different data formats
Months of integration work before AI can touch real production data
Black-box point solutions lacking strict audit compliance
Workflows that vary by site, shift, and team - requiring flexible automation
Security vulnerabilities risking costly operational downtime

Three steps to AI in production

We collaborate to prioritize your use cases
Unframe works with your team to define a use case tied to a measurable outcome - revenue, cost, speed, accuracy. A specific problem with a number attached to it. If it doesn't move a number, we don't build it.
Timeline:
60 minutes
We tailor an agentic solution for you
Unframe configures a solution using pre-built, production-hardened components assembled by a Blueprint and tailored to your specific use case.‍

Deployed on your data, in your environment, on your choice of LLMs. No FDEs required.
Timeline:
Delivered in days.
Get a production-ready solution
Move beyond endless POCs that never make it to production. You evaluate the solution on your real data, in your real environment. If it delivers the outcome we aligned on, you subscribe. If it doesn't, you don't pay.

No upfront licensing. No commitment before proven value. The commercial relationship starts after the outcome is demonstrated.
Timeline:
Experience business impact in weeks.
Customer Spotlight

Real-world success

AI Requirements Engineering Solution

Manufacturing

Leading Automotive Engineering Company processes 100% of requirements in under 10 minutes

Supplier Commitment Intelligence

Manufacturing

Fortune 500 Manufacturer achieves 100% visibility into supplier commitments

FAQs

How long does it take to deploy AI in a manufacturing plant?
Does AI work with our existing SAP, MES, and SCADA systems?
What is the ROI of AI in manufacturing?
Why do most manufacturing AI projects fail to deliver results?
Do we need an internal AI team to deploy and run this?
Is our production and operational data safe with an AI platform?
How does AI help reduce unplanned downtime in manufacturing?
What is managed AI for manufacturing?