Material-centric production intelligence for recovering output
Matereal.ai reads the operational data your plant already produces, detects Material Value Leakage, and helps teams recover output from existing assets, without new instrumentation to start.
An intelligence layer above your plant systems
Material Value Intelligence detects hidden time losses, quantifies their impact, and helps plant teams recover output from existing production assets. It reads existing data; it does not replace your control or MES systems.
The losses are real, but they stay invisible
Losses hide below the downtime threshold
Small, repeated waits and slow-downs never trip a stoppage code, so they never get counted.
Dashboards summarize, they don't isolate
OEE and reports total the losses; they rarely separate the small, recurring, monetizable ones.
Variation is treated as normal
Grade, shift, and recipe differences get absorbed into 'that's just how it runs.'
Root cause is slow without a breakdown
When output dips with no clear failure, investigation is manual and time-consuming.
Connect, detect, quantify, rank, support
- 01
Connect existing plant data
PLC, SCADA, DCS, MES, historian, quality, and run/batch records, with no new instrumentation to begin.
- 02
Detect Material Value Leakage
Isolate sub-downtime time losses across shifts, lines, grades, and conditions.
- 03
Quantify material-value economics
Translate disappearing minutes into recoverable output and a defensible value range.
- 04
Rank recovery opportunities
Order losses by commercial impact and data confidence, not by novelty.
- 05
Support plant teams with production intelligence
Give teams prioritized, explainable next steps: decision support, not autonomous control.
Matereal.ai provides decision support. It does not autonomously control plant equipment.
Built on the data you already collect
Integration is data mapping, not new hardware. We start from existing sources.
What you get back
Material Value Map
Where production time is disappearing, ranked by commercial impact.
Material Value Leakage diagnostic
Which loss categories are present and why they may matter.
Lost-minute economics
Disappearing minutes translated into recoverable output and value ranges.
Bottleneck patterns
How the constraint behaves across products, shifts, and conditions.
Recovery opportunity ranking
Prioritized opportunities by impact and data confidence.
Avoidable-delay risk indicators
Early signals of decision and transition delays.
Pilot recommendation
A scoped, data-grounded starting point for validation.
A scoped, low-friction way to validate
Start on one constraint, confirm value against plant data, and expand only when the evidence supports it.
Scope
Pick a constraint line or asset and confirm monetizable output.
Connect
Map available data sources; validate coverage and timestamps.
Detect & quantify
Produce a Material Value Map with ranked, valued opportunities.
Validate
Confirm findings against plant reality before any commitment.
Identify Your Material Value Leakage
Start with one high-value production decision. Prove value in one plant. Then scale across the installed base.