FactoryIQ

FactoryIQ · for manufacturing enterprises

Know what to fix.
Prove it worked.

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.

From scattered data to a verified fixIllustrative
2modules live today, in production at an integrated steel plant.
[N] weeksfrom first data to the first ranked losses.
[N] monthsfrom first fix to a fix verified on the plant record.

Built from

Enterprise systems Process and production data Plant reports and spreadsheets New shop-floor records

Mission

No plant decision should rest on opinion.

We build the software that puts evidence in front of the people who run the plant, and holds every fix to account.

Objective

Stop losing time.

Rank every loss by what it costs. Remove the causes, not the symptoms.

Objective

Stock for risk, not for habit.

The critical part on the shelf. The cash out of the ones that never move.

Objective

Make fixes stick.

Measure every fix against what happened next. Copy what works everywhere it applies.

Platform

One model of your plant. Every team on the same facts.

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.

Asset Components Parts Events Improvements Suppliers Lessons
  1. Connect

    Link what you have. Capture what you don't.

    Your systems connected, and simple records for what nobody tracks yet.

  2. Conclude

    Lead with the answer.

    Every screen opens with what matters most, and the evidence behind it.

  3. Act

    People decide. The record remembers.

    AI prepares the work, engineers approve it, and every decision stays on file.

Product

From the largest loss to a verified fix, in one flow.

Coverage

Start where the losses are largest. Expand across the plant.

Two modules are live today. Every new area plugs into the same model and starts from what the others already know.

Live today

Roadmap

Losses and costs

Every loss in the plant, priced and ranked. Attack the largest first.

Maintenance planning

Preventive work planned on the real condition of the equipment.

Operator care

Daily checks and small fixes by the teams closest to the equipment.

Quality

Defects traced back to the process conditions behind them.

Safety

Every near miss turned into prevention, before it becomes an incident.

Energy and environment

Consumption and emissions tied to equipment and process.

Logistics

Material flow from supplier to customer, without waiting or waste.

New equipment

Lessons from today's plant designed into tomorrow's lines.

People and skills

The skills each team needs, where the plant needs them.

Principles

Built for the people who run the plant.

Evidence

Measured, not claimed.

A fix counts when the plant record says it worked. Not before.

People

AI drafts. Engineers decide.

Nothing moves without a named person approving it.

Fit

Your plant, your method.

Built around how your teams already improve, not around a new way of working.

Security and data

Your data stays yours. Every number traces back.

Built for plants where IT and operations both have to say yes.

Access

Read-only by default.

FactoryIQ reads from your systems. Nothing is written back without an explicit, approved integration.

Lineage

Traceable to source.

Every figure links to the records it was calculated from.

Control

Approval before action.

AI suggestions are marked as such. A named person approves every decision, and the log keeps who and when.

Isolation

A dedicated environment.

Each client runs in its own environment. [HOSTING REGION AND DEPLOYMENT OPTIONS]

Identity

Access by role.

People see what their role needs. [SINGLE SIGN-ON SUPPORT]

AI

No training on your data.

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]

[METRIC][RESULT]
[METRIC][RESULT]
[METRIC][RESULT]

Questions

Frequently asked questions.

01

What is FactoryIQ?

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

Who is FactoryIQ for?

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

What data does FactoryIQ need?

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

Does FactoryIQ replace our ERP or maintenance system?

No. FactoryIQ reads from the systems the plant already runs. Nothing is written back to them without an explicit, approved integration.

05

How does FactoryIQ use AI?

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

How are savings reported?

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

How do we start with FactoryIQ?

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

How is our data protected?

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.

Start with one area. Judge us on the result.