$173B
Record deal value
Industrial manufacturing deal value over the past year, up 28%, according to PwC.
For executives and investors
P&L Upside You Can Prove. Costs You Can Predict.
Industrial companies are under pressure to show that digital and AI investments pay off on the income statement: more throughput, lower labor cost, fewer failures. Fuuz is the enterprise data layer that makes those gains possible at scale: connected across every plant, measured in one model, on a subscription you can plan.
The market context
Buyers Want Returns They Can See
From PwC's Industrial manufacturing: US Deals 2026 midyear outlook (June 2026).
86%
Strategic buyers
The share of deal value from strategic acquirers, who must integrate what they buy.
69%
Acquire and divest
Nearly 69% of companies making $5 billion-plus acquisitions since 2021 also divested assets, per PwC.
What buyers are asking for
Prove It On The Income Statement
PwC's outlook is direct: acquirers of AI-enabled operations increasingly want evidence of throughput improvements, labor cost offsets and predictive maintenance savings before they pay a premium. The same standard is coming to every digital budget, acquisition or not.
Proving it takes two things most plants lack: operational data that is connected and trusted, and a way to change how work gets done without a multi-year project. Fuuz provides both on one platform.
- Measure the baseline and the result in the same data
- Change the work with apps and governed agents, not just dashboards
- Roll out what works to every site
Where Fuuz fits
DataMachines, ERP and plant systems connected, persisted and modeled once.
ApplicationsMES, WMS, quality and maintenance run on Fuuz, or connect what you keep.
AIYour corporate agents act through typed, governed flows, with people approving.
ScalePackage once and roll out plant by plant.
AI on the P&L
AI Pays Off At Scale Only On A Shared Data Layer
PwC puts it plainly: AI gains have to show up on the income statement. Most manufacturers are not there yet, and the reason is rarely the model. It is the data. Each plant has its own systems, its own definitions and its own spreadsheets, so every AI pilot starts with a data cleanup project and ends at one site.
Fuuz is the data layer across the enterprise. Machines, ERP and plant systems are connected and modeled once, in one knowledge graph that is also the backend your applications run on. A use case proven at one plant runs at the next on the same model, so AI value adds up across the business instead of staying a pilot.
- One model of every plant, order, lot, asset and process
- Context that stays current because the work happens in Fuuz
- AI use cases packaged once and rolled out to every site
Why AI pilots stall, and how Fuuz fixes it
Scattered dataConnected and modeled once, across every plant.
No shared contextOne knowledge graph agents can follow, not guess.
Ungoverned toolsRole-based access, tool policies and audit on every agent call.
One-site winsPackaged apps and flows that roll out to the next plant.
From foundation to value
The Data Layer Is The Foundation. The Apps Create The Value.
A data layer on its own does not move a KPI. The value comes from operational apps, tightly coupled to that data, that your OT teams can deploy fast. Solving an inefficiency, clearing a bottleneck or planning a new production line happens faster, with fewer vendors, fewer licenses and fewer delays.
3 · Outcomes
Results on the P&L
Lower cost of poor qualityHigher OEEMore throughputNew lines up fasterFewer vendors and licenses
2 · Where the value is created
Operational apps, deployed by your OT teams
Tightly coupled to the data layer, built from accelerators and shaped to each plant without a long implementation project.
MESWMSQMSCMMSSchedulingOEEWork instructionsYour own apps
1 · The foundation
One data layer across every site
Machines, ERP and plant systems connected and modeled once: a single source of operational truth, ready for AI.
Front-line workers, real-time insight
Operators and supervisors see what is happening now, at the step where it matters, so problems are caught before they become scrap, rework or a missed shipment.
Lower cost of poor quality
Quality checks, holds and SPC run inside the work, not after it, on the same data as production, so defects are contained at the source.
Higher OEE, more throughput
With one source of operational truth across every site, teams compare plants on the same KPIs, find the losses that matter and roll out the fix everywhere.
IT and OT, together
How Fuuz Lets IT And OT Deliver Real AI Value
AI value at enterprise scale needs both teams: IT to secure and govern it, OT to put it to work where the product is made. Fuuz gives each team what it needs on the same platform.
IT sets the guardrails
One platform to secure, govern and monitor every app, connection, user and agent across the enterprise.
- SOC 2 Type 2, OIDC identity and multi-factor sign-in
- Role-based access and tool policies on every agent call
- Your corporate agents, not a vendor's, connected through MCP
- Versioned, tested and packaged releases with audit
OT puts AI to work
Plant teams connect equipment, build the apps they need and run deterministic flows at the edge, without waiting on a long IT project.
- Connect machines through the Fuuz Gateway
- Build apps from accelerators, low-code or code
- Typed flows at the edge or in the cloud: same input, same answer
- People in the loop where decisions matter
Together, it scales
What one plant proves, every plant can run, on the same model and under the same governance.
- One data model shared by IT and OT
- Package once and roll out with room for local variation
- Measure results in the same data at every site
- AI value that adds up on the P&L
Where the upside comes from
Six Levers On The P&L
Throughput
See where capacity is lost, in real time, and run the plant to a schedule people can follow. Machine data, downtime reasons and work orders live in one model.
- OEE and machine monitoring
- Production execution
- Planning and scheduling
Labor productivity
Give every operator the next step, the right instructions and fewer screens, and let governed agents and flows take on the repetitive work.
- Labor tracking
- Digital work instructions
- Automation and agents
Maintenance cost
Move from reacting to failures to acting on condition, with work orders raised from live equipment data and parts tied to the asset.
- Maintenance management (CMMS)
- Process monitoring
- Alerts and notifications
Cost of quality
Catch problems at the step where they start, hold the right lots, and keep the record that customers and auditors ask for.
- Quality management
- Downtime, alarms and SPC
- Track and trace
Inventory and working capital
Know what you have, where it is and what it is committed to, from receiving through shipping, in step with the ERP.
- Inventory tracking
- Lot tracking
- Receiving, put-away and picking
Software and integration spend
Retire overlapping point solutions and the custom integrations between them. One platform, one data model and one security model to run.
- ERP integration
- Shop-floor connectivity
- Multi-site standardization
Built for portfolio change
Acquisitions, Carve-Outs And Integration, On One Model
Portfolios are changing fast, with acquisitions, divestitures and carve-outs often happening at once. Every change raises the same question at the plant: which systems does this site run on, and how quickly can it run the way the rest of the business does?
Fuuz connects to what a site already has, so an acquired or carved-out plant can run on a common data model and packaged applications while its existing ERP stays connected. Standardize plant by plant, on your schedule, instead of waiting for one big migration.
- Connect to the systems a site already runs
- Common data model and packaged apps across sites
- Site-level access, governed at the enterprise
A typical path
Day oneConnect the site's machines and ERP. See its operation in the same model as every other plant.
First winsDeploy the applications with the clearest payback, from accelerators.
StandardizeRoll out the packaged operating model, with room for local variation.
SimplifyRetire overlapping systems when the business is ready.
Costs you can predict
One Platform, A Cost You Can Plan
Point solutions add a license, an integration and a support contract for every problem. Fuuz is priced as one platform.
A stack of point solutions
- A separate license for MES, WMS, quality, maintenance and more
- Per-user, per-site and per-module fees that grow with headcount
- Custom integrations to build and maintain between every product
- Separate hosting, security reviews and upgrade cycles
Fuuz
- Editions sized by production app runtimes
- No per-user fees, data transfer charges or revenue-based metrics
- Compute and data storage included
- Build, QA and production environments in every deployment
- Know what the next app runtime costs before you add it
Prove it plant by plant
From First Plant To Every Plant
Step 1
Baseline
Connect one plant and capture where time, labor and material go today, in the Fuuz model.
Step 2
Deploy
Start from accelerators for the problem with the clearest payback, and shape them to how the plant runs.
Step 3
Measure
Compare before and after in the same data: OEE, downtime, labor hours, scrap and inventory accuracy.
Step 4
Scale
Package what worked and roll it out to the next site, at a cost you knew in advance.
Questions
For Executives And Investors
How do we measure the impact of Fuuz?
Start from a baseline in the same platform. Because machine data, work orders, labor, quality and inventory live in one model, the measures you use to prove value, such as OEE, downtime, labor hours, scrap and inventory accuracy, come from the same data before and after.
How is Fuuz priced?
Editions are sized by the number of production app runtimes and production connections you run. Compute and data storage are included, and there are no per-user fees, data transfer charges or revenue-based metrics. You know what the next app runtime costs before you add it. Talk to our team.
Can Fuuz help with an acquisition or carve-out?
Yes. Fuuz connects to the systems a site already has, so an acquired or carved-out plant can run on a common data model and packaged applications while its ERP stays connected. Teams can standardize plant by plant instead of all at once.
Do we have to replace our ERP?
No. Fuuz connects two ways to ERP and other systems of record. Many manufacturers keep their ERP and run MES, WMS, quality and maintenance on Fuuz, or keep some of those systems and connect them.
Why does AI need a data layer to show up on the P&L?
Because AI is only as useful as the data and context it can reach. When every plant has its own systems and definitions, each AI project starts over. Fuuz connects and models data once across the enterprise, so a use case proven at one plant can run at every plant, and its results can be measured in the same data.
How fast can we start?
Most teams start with one plant and one problem, using accelerators for MES, WMS, quality and maintenance, then package what works and roll it out to the next site.
Get started
Build The Case For Your Plants
Tell us where you need the P&L to move. We will show you how manufacturers are getting there on Fuuz, and what it costs.
Prefer to talk? Call 1-877-801-FUUZ (3889)