Facts live in different places.
Orders in an ERP. Progress in spreadsheets. Changes in conversations. Getting the full picture means chasing information.
INTELLIGENCE FOR MANUFACTURING
A smarter factory
starts with
every order.
Noxdi is building the intelligence layer for the factory floor. Starting with order coordination, we connect what's happening, what it means, and what to do next.
Grounded in factory reality. Designed for human decisions.
INTERACTIVE CONCEPT
Reality Runtime
01 / OBSERVE
A physical change becomes a shop-floor event.
TRY A SCENARIO
Synthetic events. Simulated decisions. Explore the model above.
BUILT AROUND FACTORY REALITY
High-mix productionShared resourcesChanging prioritiesHuman judgment
01 / THE MISSING CONNECTION
The plan is only
half the picture.
A production plan says what should happen. The factory floor tells a more complicated story. Teams need the connection between the two.
One change has many consequences.
A delayed material or a shared machine can affect several orders. A status update alone doesn't explain the impact.
Knowing isn't the same as acting.
Teams still have to work out what is feasible, who should act, and how an adjustment affects delivery.
02 / THE NOXDI FRAMEWORK
From factory facts
to informed action.
A shared context layer connects the shop floor to business decisions, and brings the outcome back into view.
GROUND TRUTH FIRST
Bring the actual factory
into the picture.
Start with orders, process routes, work tickets and progress reports. Combine system records with shop-floor input, and keep the source of each fact visible.
Orders & documents
ERP / MES
Shop-floor updates
NFactory contextObjects · relationships
states · evidence
states · evidence
Explain impact
Review options
Approve action ↗
↩ VERIFY OUTCOMES · UPDATE CONTEXT
A context layer built around your operations. The framework is designed to work with existing systems and fill gaps in how production is recorded.
03 / OUR STARTING POINT
Start with the order.
See the whole picture.
Order coordination brings deadlines, specifications, production steps and shared resources together. It's a concrete place to make factory intelligence useful.
↳
An interactive concept using fictional data. Illustrates the intended workflow.
LESS CHASING
Find the relevant facts in context.
EARLIER CLARITY
See the dependencies behind an exception.
ACCOUNTABLE ACTION
Keep judgment and approval with your team.
REALITY RUNTIME / INTERACTIVE CONCEPT
Watch factory facts
become context.
A bundle moves back a step. A scan doesn't match the floor. Work waits between stations. Follow each event from observation to a decision your team can review.
Launch interactive demo Synthetic data · Simulated actions · Best explored on desktop04 / THE BIGGER PICTURE
One workflow today.
A factory-wide mind tomorrow.
Our long-term vision is an operating intelligence layer for the whole factory: a shared understanding of production that people, software and physical AI can work from.
01STARTING POINT
Order intelligence
Build a reliable view of orders, progress and exceptions. Validate recommendations with the people who run production.
One workflow. Grounded in reality.
02EXPANSION
Operational intelligence
Extend that context across planning, materials, quality and shared capacity to support decisions across the factory.
More connections. Better context.
03LONG-TERM VISION
A factory intelligence layer
Give people, systems and future physical AI a common understanding of the factory, with feedback from real outcomes.
A shared foundation for what comes next.
A direction for development. Expansion depends on validation in real production environments.
05 / HOW WE BUILD
Built for the floor.
With your team.
Useful factory intelligence starts with how production actually works, and earns trust one decision at a time.
Reality before abstraction.
Understand the workflow, verify the records, and model the constraints that matter on the floor.
Evidence behind the answer.
Make the source and reasoning visible so teams can check an explanation before relying on it.
People retain control.
Keep recommendations reviewable, with human approval before changes enter production.
Prove it in the workflow.
Establish a baseline, review historical cases, and measure whether the new workflow helps.
START SMALL. BUILD SOMETHING THAT WORKS.
What could a clearer
factory look like?
Start with one workflow, one set of decisions, and a practical way to measure progress.
A PRACTICAL FIRST STEP
- 01Map the order workflow
- 02Connect and verify the facts
- 03Review real exceptions together
- 04Measure, learn, and expand
Tell us about your workflow and join the private beta waitlist.