Industry 4.0 experts

Supporting customers in their Industry 4.0 journey

Minimize downtime, prolong equipment lifespan, boost production hours, and cut time spent on scheduled maintenance with a partner that combines deep industrial knowledge and cloud-native engineering.

Explore services Request a consultation
Downtime reduction
40%
Assets monitored
15k+
ROI achieved
×100
Operating sites
12
Industrial robotic arms assembling components on a smart factory production line

Why IndustrAI

  • 1

    Industrial-grade expertise

    Engineers with factory-floor experience deliver pragmatic solutions that respect OT constraints and safety protocols.

  • 2

    Cloud-native scalability

    Modular architecture built on hyperscale cloud enables rapid replication across plants with centralized governance.

  • 3

    Measured outcomes

    Clear KPIs at every phase ensure tangible impact on maintenance costs, asset availability, and production throughput.

Services

Four phases to industrialize data and automation

We de-risk Industry 4.0 programs with a phased approach that aligns technology, people, and operations from day one.

Phase 1 · Asset Connectivity

Connect machines, sensors, and historians to build a trustworthy operational data layer.

  • Integrate PLCs, SCADA, and MES data into secure cloud or on-prem edge hubs.
  • Standardize tag libraries and metadata for equipment in heterogeneous environments.
  • Deploy hardened gateways with continuous OT network monitoring.

Phase 2 · Data Consolidation and Visualization

Transform raw telemetry into trusted dashboards and actionable reports.

  • Build unified asset catalogs and health indices in data lakes or warehouses.
  • Design role-based dashboards for supervisors, reliability engineers, and executives.
  • Implement alerting workflows with contextualized, prioritized notifications.

Phase 3 · Create Actionable Items

Convert insights into orchestrated maintenance execution.

  • Define maintenance playbooks with clear ownership and time-to-action metrics.
  • Integrate work-order systems (CMMS/ERP) for automated ticket creation.
  • Track impact with closed-loop analytics and digital shift reports.

Phase 4 · Automate with AI & ML

Scale predictive and prescriptive models to autonomously improve operations.

  • Deploy anomaly detection, remaining useful life, and optimization models.
  • Continuously retrain pipelines with MLOps guardrails and model drift alerts.
  • Operationalize AI decisions with human-in-the-loop governance.
Proof of Concept

Proof quality before scaling operations

Our PoC approach validates business value in weeks, not quarters, with transparent success criteria and rapid iteration alongside your plant teams.

  • Define measurable KPIs such as downtime reduction, maintenance cost savings, and OEE uplift before kickoff.
  • Deploy minimal viable data stack with hardened security and governance aligned to your IT/OT policies.
  • Run a sprint-based delivery model that transfers knowledge to site teams and captures feedback in real time.
Engineer validating predictive maintenance insights on a tablet next to production machinery

PoC outcome playbook

Duration
6–10 weeks
Stakeholders
OT + IT + Finance
Deliverables
Blueprint & KPI pack
Confidence
90%+ adoption
Catalogue of Services

Delivery modules aligned to each phase

Mix and match service blocks to accelerate your Industry 4.0 roadmap without rework or duplicated pilot efforts.

Connectivity kits

  • Edge gateway configuration and OT network segmentation.
  • Protocol conversion for Modbus, OPC-UA, MQTT, and proprietary buses.
  • Secure device onboarding with certificate-based authentication.

Unified data layer

  • Asset twin modeling with contextual metadata and hierarchies.
  • Event stream processing and historian consolidation pipelines.
  • Business glossary and governance guardrails embedded in workflows.

Action acceleration

  • Playbook design and training for frontline maintenance teams.
  • CMMS, ERP, and EAM integration with automated work orders.
  • Shift handover dashboards with cross-site benchmark KPIs.

AI/ML operations

  • Model development for predictive maintenance and quality assurance.
  • MLOps pipelines with automated retraining and performance tracking.
  • Governance dashboards for explainability, bias checks, and approvals.
Asset Assessment Tool

Quantify asset criticality with live operational context

Instantly visualize equipment performance, risk classes, and spare part exposure to focus maintenance resources where impact is highest.

  • 1 Dynamic scoring engine combines failure history, production reliance, and replacement lead-times.
  • 2 Scenario planning highlights cost-to-failure versus mitigation strategies using sensitivity sliders.
  • 3 Automated reports feed into financial planning cycles and corporate ESG scorecards.
Industrial engineer inspecting connected equipment on a factory floor

Key capabilities

Assets benchmarked
0+
Criticality factors
12 inputs
Decision latency
< 15 min
Integration adapters
SAP, Maximo, Infor
Pilot Management Tool

Scale pilots into repeatable production success

Coordinate cross-site deployments, track ROI, and align stakeholders with a single source of truth for every Industry 4.0 initiative.

Factory leadership team coordinating Industry 4.0 rollouts on the production floor

Governance cockpit

Stage-gate workflows enforce standards from ideation through global rollout with clear accountability owners.

Value tracking

Monitor projected versus realized efficiencies with live dashboards and automated stakeholder reports.

Risk mitigation

Smart alerts flag compliance gaps, dependency conflicts, and resource bottlenecks before they disrupt delivery.

Knowledge base

Centralize documentation, lessons learned, and SOPs to accelerate onboarding and replicate wins across plants.

About IndustrAI

Industrial technologists committed to measurable impact

We blend reliability engineering, advanced analytics, and change management to modernize maintenance operations without disrupting production. Our teams operate across Europe with multilingual experts who understand both plant realities and board-level expectations.

Vision: Deliver autonomous, responsible, and human-centric Industry 4.0 ecosystems where every asset decision is data-backed and sustainability-aligned.

  • Certified AWS and Azure industrial IoT partner.
  • Embedded with leading manufacturers in energy, FMCG, life sciences, and automotive.
  • Trusted advisors on predictive maintenance, asset strategy, and digital transformation funding.
Reliability engineers briefing operators on a high-tech manufacturing floor

Savings delivered

0 M€

Verified reduction in maintenance and spare part spend.

Plants connected

0+

Industry 4.0 transformations delivered end-to-end.

Reliability experts

0

Engineers, data scientists, and change managers on staff.

Sustainability impact

-18% CO₂

Average emissions reduction via energy optimization programs.

Contact

Let’s co-design your next reliability milestone

Share your current challenges, and we’ll align a tailored roadmap that matches your plant maturity, budget, and sustainability targets.

Email: contact@industrai.eu

Phone: +352 621 123 456