FACTORY TRANSFORMATION, SEQUENCED RESPONSIBLY

Turn factory evidence into the right first move.

In about 10 minutes, INDUNV turns practical factory evidence into one prioritised next step — separating the technology you want from the prerequisite you need first.

No account to start
Data stays on this device
You approve every share

EXISTING FACTORY

Assess my existing factory

Answer practical questions about your plant and get one prioritised next step.

Free · 10 minutes · no account needed

NEW FACTORY

Create a new factory

Plan a new smart factory or production line from a clean sheet, with guided matching.

Free account required to save your plan

MARKETPLACE

Browse the Marketplace

Products, systems and provider capabilities for factory transformation.

Prototype catalogue · supplier records are not published yet

INDUNV AI AssistantNot sure where to start? Get guided prototype AI help before you choose a path.

HOW INDUNV WORKS

One clear path from a factory question to a responsible next step.

01Diagnose
02Prioritise
03Plan
04Match
05Implement
06Measure

Evidence-led guidanceStart without an accountYou approve every share

Factory transformation, sequenced responsibly

Turn factory evidence into the right first move.

In about 10 minutes, InduNv turns practical factory evidence into one prioritised next step — separating the technology you want from the prerequisite you need first.

No account to start
Data stays on this device
You approve every share

HOW INDUNV WORKS

From factory evidence to one responsible decision

InduNv starts with the operational problem, tests whether the data and organisation are ready, and sequences the prerequisite before the target technology.

01Diagnose
02Prioritise
03Plan
04Match
05Implement
06Measure

01 · PRIORITYA sequenced first move

The recommended action, the reason it comes first, and any prerequisite that blocks the target solution.

02 · BUSINESS CASEAn ROI range you can challenge

Visible assumptions, three scenarios and a Confidence level — including “insufficient data” when evidence is weak.

03 · DELIVERYThe provider capability required

A clear capability brief and catalogue-backed matching after the need is defined.

Prototype status: Diagnose, Prioritise and Plan are available · Match retains a neutral directory and catalogue structure without supplier records · Implement and Measure have browser-local workflow prototypes, while connected provider delivery, live KPI ingestion and external verification remain planned integrations.

WHY TRUST THE RESULT

Built to say “not yet” when the evidence is weak

A useful recommendation must expose its limits. InduNv shows the gate, the assumptions and the sharing decision instead of hiding them behind a score.

Data-Readiness Gate

Predictive AI is blocked until the factory can supply the data it needs. The prerequisite comes first.

ROI range & Confidence

Every business case shows its assumptions and evidence quality. Weak evidence lowers Confidence; missing evidence can stop the claim.

Explicit consent before sharing

Your answers, notes and files remain local until you preview and approve exactly what would be shared.

Legal, privacy & prototype notes

Directional guidance · InduNv is a directional pre-assessment and navigation platform. It is not a certification authority and does not issue SIRI, CMMM, ITTI or any official maturity certification. Results are decision support that can feed a formal audit — never a substitute for one.

Privacy (prototype)

This front-end prototype stores demo sessions in memory only — reloading signs you out. No passwords, payment data or tokens are stored or transmitted. Assessment data persists only in your own browser storage, exactly as in the canonical tool.

Terms (prototype)

Demonstration build for evaluation. No supplier or product records are published; commercial actions are unavailable; no contractual relationship is created by any interaction with this prototype.

START WITH EVIDENCE

Make the factory decision before the technology purchase.

Find the first move your factory can support now — and the evidence required for what comes next.

Assessment establishes the evidence. Industrial Identity preserves the decision context. Marketplace and implementation records carry it forward until measured outcomes inform the next responsible move.

No account needed · data stays on your device · share only after consent.

EXPLORE THE PLATFORM Accounts, capabilities, solution families and provider marketplace

WHO IT'S FOR

Three ways to join — one honest workflow

Factories come first. Solution partners and individual buyers plug into the same platform, each with its own onboarding and workspace.

PLATFORM CAPABILITIES

What the platform actually does

Guided self-assessment

8 capabilities, 24 practical questions — descriptive statements, not numeric guessing. Notes and evidence stay on your device until you choose to analyse.

Data-Readiness Gate

Hard gates, not score penalties. We never recommend predictive AI to a plant that can't yet feed it — the prerequisite comes first.

Honest ROI & confidence

Three scenarios, visible assumptions, provenance on every input, and an “insufficient data” outcome instead of an invented number.

Evidence-based matching

Future matching requires approved provider capability, industry and integration data with a visible reason for every match. No provider records are currently published.

Opportunity Brief

A factory-approved summary designed for future provider responses. You preview and approve every field, but provider contact and quote delivery are not connected.

Implementation tracking & measurement Local workflow available

A source-bound project, sequential acceptance and reviewed KPI workflow are available locally. Live provider collaboration and KPI ingestion remain Planned integration.

SOLUTION FAMILIES

The technologies a first step can point to

From the first connectivity retrofit to plant-wide intelligence — for existing factories and greenfield builds. The diagnosis decides which one comes first.

Machine connectivity & retrofit Gateways, PLC/SCADA upgrades, OT networks — the data foundation.

Predictive maintenance Condition monitoring that predicts failures before they stop production.

AI visual quality inspection Camera and model catching defects in real time on the line.

Production planning & OEE Real-time visibility and scheduling for plants running on spreadsheets.

Energy management Per-machine consumption, idle waste, and the sustainability starter.

Process & material optimisation Analytics that cut waste and rebalance the bottleneck.

Production lines & equipment Smart lines, machines and fixtures for new or expanding plants.

Robotics & automation Cobots, handling, palletising and line automation.

MES · IIoT · AI & digital twins Industrial software: MES, ERP integration, analytics, computer vision, twins, cybersecurity.

PROVIDER ORGANISATIONS

Discover implementation providers

Explore the provider-discovery structure used to define the implementation capability a factory may need.

Prototype boundary · No supplier records are published. Provider onboarding, verification, profiles, contact, quotes and external discovery are not connected.

Pathway 2 · Smart Manufacturing · Industry 4.0

Most SMEs want Industry 4.0.
Few know where to start.

Most SMEs don't fail at Industry 4.0 because they lack technology — they fail because they start with the wrong technology. Factory 4.0 Navigator diagnoses a factory's real problems, then builds each one into a ready-to-implement smart-solution plan. We move a factory from "I want to become smart" to "this is the first solution I should implement."

▶ Run a live assessment Methodology

400M+ SMEs worldwide Grounded in recognised readiness standards ROI from McKinsey / Deloitte benchmarks

STEP 1

Factory profile

STEP 2

Readiness score

STEP 3

Recommendations

STEP 4

ROI + simulation

STEP 5

Roadmap

MODULE 01

Factory Readiness Assessment

Start with a short factory profile, then choose the capability the factory wants to develop and answer three plain-language questions — you get a descriptive current state, next achievable state, and a practical first action. The numeric maturity engine stays in the background. The assessment starts neutral: nothing is pre-filled unless you press “Load demo data”.

🏭 Factory profile step 0 · who you are + what you actually measure

Company name optional — appears on the report Sector Workforce size employees Biggest operational pain in your words

Which of these do you actually measure? pick “Unknown” freely — honesty beats guessing

“Measured” = you have records · “Estimate” = your best guess · “Unknown” = we won't invent it. ROI quality follows data quality.

A simple path: 1) choose the capability you want to develop, then 2) answer three practical questions — select the statement that sounds like your factory. We translate the choices in the background and show where you are, what’s next, and the first practical action.

Each completed capability gives an immediate focused result. Complete all 8 for the full InduNv Readiness Index — your data answers set the honesty confidence, and nothing is assumed from the demo company.

📷 Visual Shop-Floor Scan optional · AI reads your photos and identifies capabilities to review — photos never answer the assessment for you offline · guided

Drag factory photos here, or browse

Up to 4 images · guided mode keeps them 100% in your browser · live-AI mode transmits them to the configured AI endpoint only after you approve the privacy notice

Dual-engine · The platform gives AI-assisted recommendations, backed by a transparent readiness-scoring model. If the network is unavailable during a pitch, the transparent model runs the full flow with identical structure — no black box, no single point of failure.

Not a certification · Factory 4.0 Navigator is not an official certification tool. It is a fast pre-assessment that helps an SME find its first step, then points it toward the right formal framework — SIRI, CMMM or ITTI — for a full audit.

MODULE 02

InduNv Readiness Index (IRI)

Our signature composite over eight dimensions (three pillars): pillar-weighted (Technology 0.40 · Process 0.35 · Organisation 0.25) with a weakest-pillar drag (25% of the index tracks your weakest pillar), reported with an honesty-gated confidence. A separate indicative CMMM-style level applies the strict weakest-pillar rule. Crosswalks are indicative — this is a pre-assessment, not a certification or audit.

0.0IRI / 5

—

MODULE 2B

Factory Data Readiness Checker

Before promising AI, we check whether the factory can actually feed it. This gate is what separates a realistic plan from a hype pitch — we won't recommend predictive AI to a plant that only has paper logs.

MODULE 3B

Smart Solution Builder

This is where diagnosis becomes a plan. The top recommendation is expanded into an implementation-ready blueprint — tech stack, difficulty, cost band, timeline, requirements, risks, KPIs, and the kind of expert to bring in. The factory leaves with a buildable solution, not just a score.

MODULE 3C

Factory Technology Upgrade Hub

Beyond dashboards — the real upgrade a factory's floor needs. From the diagnosis, the platform names the physical & digital upgrades that fit: robotics, machine retrofit, AI-vision cameras, IoT, control-system upgrades. Not "use AI," but "here is the equipment-level move."

MODULE 3D

Provider and Solution Matching

This is where InduNv becomes two-sided. Once the upgrade is clear, the factory doesn't just learn what and how — it learns who can build it. The platform names the partner types to bring in, turning a diagnosis into an actionable sourcing shortlist.

The business model · Matching is the two-sided hook: factories find vetted providers; providers can fund the platform through subscriptions and transaction fees, but organic recommendation rank can never be bought.

MODULE 04

ROI Calculator

Solution-specific economics in three scenarios (conservative · base · optimistic) — never one exact number. Every input is labelled by provenance: measured, your estimate, derived from maturity answers, or published benchmark. Assumptions are shown and editable; if the data can't carry an estimate, we say so instead of inventing one.

Benchmarks · Predictive maintenance typically cuts machine downtime 30–50% and maintenance cost 10–40% (McKinsey, Manufacturing analytics); −70% breakdowns / −25% maintenance cost on average (Deloitte Analytics Institute). We apply these ranges conservatively — the scenario table shows exactly which end of each range is used.

MODULE 05

Mini Digital Twin — before / after

A lightweight simulation of the top recommendation's effect on the plant's own numbers. No hardware — pure model, driven by the same benchmarks.

● Today (baseline)

→

● After phase 1

MODULE 06

Auto Roadmap Generator

A staged path — easy wins first, data & analytics next, AI/automation last — with the risks the SIRI adoption challenges warn about (cost, cybersecurity, integration, skills). Phases are sized for SME cash cycles (~12 months); national indices set ambitions on a 2–3-year horizon — re-assess yearly to track progress.

🛡️ Methodology & standards alignment How the scoring and ROI are grounded — open only if a judge asks how we validated the model. Show details ▾

MODULE 07

Global Standards Alignment

Navigator doesn't reinvent readiness — it aligns with the frameworks the industry already trusts, then acts as the fast, free front door for SMEs that aren't ready for a full formal audit.

🇸🇬 Singapore

SIRI

Smart Industry Readiness Index

The world's first independent Industry 4.0 maturity assessment — endorsed by the World Economic Forum. Structure: 3 building blocks, 8 pillars, 16 dimensions.

Used here for: Process · Technology · Organisation scoring backbone.

🇨🇳 China

CMMM

Smart Manufacturing Capability Maturity Model

China's national standard (GB/T 39116-2020 + 39117-2020). Covers people, resources and technology across the full product lifecycle. Directly relevant — the programme is at XJTLU, China.

Used here for: intelligent-manufacturing maturity reference.

🇦🇪 UAE

ITTI

Industrial Technology Transformation Index

First framework to fuse Industry 4.0 with sustainability — 20 dimensions, 4 on sustainability. Piloted on 75 factories, ~60 of them SMEs: proof the SME-first approach works.

Used here for: the sustainability starter (energy → emissions visibility) + SME precedent.

🌐 WEF

Lumina

Industrial transformation intelligence (Lighthouse data)

WEF's AI intelligence platform built on Global Lighthouse Network data — 238 leading sites worldwide (2026). Its core finding: the winners scale their highest-value step, not the most technology.

Used here for: benchmarking + the "right first step" thesis.

The positioning · Formal frameworks are powerful — and heavyweight by design: a formal index assessment is a scheduled two-day on-site engagement with a certified assessor, leadership and six functional teams in the room, plus a report and debrief. Navigator is the pre-assessment layer — a directional read in minutes, self-serve — that gets an SME started and makes the formal assessment worth booking. We don't compete with SIRI or ITTI; we feed them.

Your IRI band ↔ the frameworks the world already trusts. After a diagnosis, your current band is highlighted.

IRI band (ours)	SIRI	CMMM	ITTI	Lumina
0–1 · Undigitised	Band 0–1	L1 · Planning	0–1	L1 · Standardised
1–2 · Reacting	Band 1–2	L2 · Standardized	1–2	L2 · Process-optimized
2–3 · Connecting	Band 2–3	L3 · Integrated	3	L3 · Technology-enabled
3–4 · Optimising	Band 3–4	L4 · Optimized	4	L4 · Business-shaping
4–5 · Future-ready	Band 4–5	L5 · Leading	5	L5 · Ecosystem-leading

Same 0–5 doctrine — define → digitise → integrate → predict → self-optimise. Indicative crosswalk, not a certification; Navigator's 8 dimensions are a deliberate SME-core subset of the 16–20 assessed in a formal audit.

METHOD

Why the numbers hold up

Scoring = a recognised model

Readiness maps to an established industrial-maturity structure — three building blocks, eight pillars, sixteen dimensions — rather than rules we invented.

ROI = benchmarks

Downtime, scrap and cost effects use published ranges — McKinsey (downtime −30–50%) and the Deloitte Analytics Institute (breakdowns −70%, maintenance cost −25%) — applied conservatively to the factory's own figures, with assumptions shown and editable, in three scenarios.

Market = real

~400M SMEs exist worldwide, ≈90% of all firms (World Bank, SME Finance). The SME manufacturing-operations-management software segment was US$6.69B in 2024, ~21.4% CAGR to 2033 (Grand View Research, Horizon). The wedge: enterprise platforms are priced for giants — SMEs are underserved.

Prioritisation = index logic · National indices don't conclude "buy the most technology" — they rank a short list of priority dimensions by weighing gap-to-ambition against company pain relevance. Navigator applies the same direction × focus logic at solution level — and gates it by data readiness.

Factory 4.0 Navigator

Optional demo case (food packaging) available via “Load demo data” · model applies to any SME manufacturing sector.

Grounded in recognised readiness standards ROI · McKinsey / Deloitte benchmarks Market · World Bank / Grand View Research