Losses and costs
Every loss in the plant, priced and ranked. Attack the largest first.
FactoryIQ · for manufacturing enterprises
FactoryIQ connects the systems your plant runs on, captures what they miss, and gives every team one answer: where the plant is losing, what to fix first, and whether the last fix held.
Built from
Enterprise systems Process and production data Plant reports and spreadsheets New shop-floor recordsMission
We build the software that puts evidence in front of the people who run the plant, and holds every fix to account.
Objective
Rank every loss by what it costs. Remove the causes, not the symptoms.
Objective
The critical part on the shelf. The cash out of the ones that never move.
Objective
Measure every fix against what happened next. Copy what works everywhere it applies.
Platform
Assets, parts, failures and improvement work, linked in one place. When a machine stops, operations, maintenance and stores see the same cause, the same part and the same fix.
Connect
Your systems connected, and simple records for what nobody tracks yet.
Conclude
Every screen opens with what matters most, and the evidence behind it.
Act
AI prepares the work, engineers approve it, and every decision stays on file.
Product
Coverage
Two modules are live today. Every new area plugs into the same model and starts from what the others already know.
Live today
Module
Fix it once: find the root cause, and prove the failure never came back.
Explore the moduleModule
Never short, never overstocked: every spare sized on the risk it covers.
Explore the moduleRoadmap
Every loss in the plant, priced and ranked. Attack the largest first.
Preventive work planned on the real condition of the equipment.
Daily checks and small fixes by the teams closest to the equipment.
Defects traced back to the process conditions behind them.
Every near miss turned into prevention, before it becomes an incident.
Consumption and emissions tied to equipment and process.
Material flow from supplier to customer, without waiting or waste.
Lessons from today's plant designed into tomorrow's lines.
The skills each team needs, where the plant needs them.
Principles
Evidence
A fix counts when the plant record says it worked. Not before.
People
Nothing moves without a named person approving it.
Fit
Built around how your teams already improve, not around a new way of working.
Security and data
Built for plants where IT and operations both have to say yes.
Access
FactoryIQ reads from your systems. Nothing is written back without an explicit, approved integration.
Lineage
Every figure links to the records it was calculated from.
Control
AI suggestions are marked as such. A named person approves every decision, and the log keeps who and when.
Isolation
Each client runs in its own environment. [HOSTING REGION AND DEPLOYMENT OPTIONS]
Identity
People see what their role needs. [SINGLE SIGN-ON SUPPORT]
AI
Your data is not used to train shared AI models. [CONFIRM AGAINST MODEL PROVIDER TERMS]
In production
“[CUSTOMER QUOTE, approved by the customer]”
[NAME] · [ROLE] · [COMPANY, or “an integrated steel producer” if anonymised]
Questions
01
FactoryIQ is software for manufacturing plants that links maintenance, production and inventory data into one model of the plant. It ranks losses by what they cost, guides the team through root cause analysis, sizes spare parts stock on real risk, and checks on the maintenance record whether each fix held.
02
Plant managers, maintenance and reliability engineers, continuous improvement teams and stores managers in asset-intensive manufacturing. It is in production at an integrated steel plant.
03
Maintenance notifications and work orders, spare parts movements and stock levels, production and downtime records, and the loss sheets teams already keep. Where something is not recorded yet, FactoryIQ adds simple capture for it.
04
No. FactoryIQ reads from the systems the plant already runs. Nothing is written back to them without an explicit, approved integration.
05
AI prepares the work: it drafts analyses, proposes countermeasures and summarises findings. Engineers review, edit and approve every step, and each field shows whether it was drafted by AI, edited or approved.
06
In three kinds that are never added together: expected savings from open work (a plan), savings reported at closure (a claim), and savings measured on the plant record before and after the fix (proof).
07
With one area and a fixed-scope pilot: connect the data, set a baseline, run live root cause and stock decisions, then decide on a rollout with the results in hand.
08
FactoryIQ reads from source systems by default, every figure traces back to the records it came from, a named person approves every change, and each client runs in its own environment.