Mativ AI Manufacturing ROI

Two manufacturing sites. Three investment tiers. Every number here is deterministic, auditable, and driven by HyperFormula. Adjust the assumptions below. The math follows.

Annual Value

$15.4M

captured value/year

3-Year ROI

6.4x

5-Year: 8.4x

Payback Period

3 months

to full recovery

5-Year NPV

$50.5M

net present value

Monte Carlo Simulation

10,000 iterations

P10 (Conservative)

3.3x

P50 (Expected)

4.8x

P90 (Optimistic)

7.0x

3-year ROI range: 2.1x – 10.4x (std dev: 1.41)

Multi-Site Scaling

Sites:2

1 site15 sites30 sites

Net Value

$14.8M

3-Year ROI

7.6x

Efficiency

1.19x

Token Economics

2 sites — per site shown below

Workload	Runs/Mo	Input Tokens	Output Tokens	Total Tokens/Mo
Real-Time Quality Engine	36.6M	11.0B	3.7B	14.6B
Computer Vision System	200.0K	30.0M	10.0M	40.0M
Per-Site Total	36.8M	11.0B	3.7B	14.7B
All 2 Sites	73.6M	22.0B	7.3B	29.4B

Yield Improvement Value (2 sites)$10.0M

Spec Response Value (2 sites)$6.6M

Predictive Quality Value (2 sites)$4.0M

Adoption Rate100%

Discount Rate10.0%

GPU Infrastructure

16 GPUs across 2 sites

GPU Model

NVIDIA RTX 6000 Ada

VRAM

48 GB GDDR6X

Architecture

Ada Lovelace

GPUs / Site

Cameras

20 MP, 71 fps, industrial-rated

Servers

Dell PowerEdge XR4000 + R760

On-Prem$224,000

Cloud$1,152,000

On-Prem recommended — saves $928K over 5 years

Operational Impact

Manual quality inspection, post-batch detection

Real-time AI quality monitoring, pre-batch prevention

19-day spec change response time

8-day response with AI-assisted adaptation

~14% scrap + rework rate

~10.5% with predictive intervention

Reactive maintenance, unplanned downtime

Predictive maintenance, scheduled optimization

Operator-dependent quality decisions

AI-augmented operator workflows with real-time alerts

Mativ AI Manufacturing ROI

Vision First

Hybrid Platform

Autonomous System

Monte Carlo Simulation

Multi-Site Scaling

Token Economics

GPU Infrastructure

Operational Impact